Anmerkung: Intro -- Preface -- Acknowledgments -- Contents -- Autonomous Systems -- Testing Paper Optimization Based on Improved Particle Swarm Optimization -- Abstract -- 1 Introduction -- 2 Background and Relative Researches -- 3 Testing Paper Optimization -- 3.1 Particle Swarm Optimization (PSO) -- 3.2 Parameter Initialization -- 3.3 Evaluation Function of the TPOPSO -- 3.4 The Global and Local Optimum -- 4 Experiment and Discussion -- 4.1 Examination Question Database -- 4.2 The Performance of the TPOPSO -- 5 Conclusion -- References -- The Null Space Pursuit Algorithm Based on an Arbitrary Order Differential Operator -- Abstract -- 1 Introduction -- 2 The Null Space Pursuit Algorithm Based on an Arbitrary Order Differential Operator -- 3 Experiment Result and Analysis -- 4 Summary -- Acknowledgement -- References -- Parameters Estimation of Regression Model Based on the Improved AFSA -- Abstract -- 1 Introduction -- 2 Multiple Linear Regression Model -- 3 AFSA -- 4 The Improved AFSA -- 4.1 The Improvement of Algorithm Parameters -- 4.2 The Improved Swarming Behavior -- 4.3 The Definition of Artificial Fish Individuals and Fitness Function -- 4.4 The Process of the Improved AFSA -- 5 Results and Conclusion -- Acknowledgment -- References -- Research on Hysteresis Modeling for Piezoelectric Displacement Actuators -- Abstract -- 1 Introduction -- 2 The Symmetry and Features of Hysteretic Loop Curves for a PZT Patch -- 2.1 Hysteretic Loop and Central Symmetry -- 2.2 Foldback Point and Centrosymmetric Center -- 2.3 The Variation of Loops, Their Upgrading/Degrading and Emerging/Vanishing -- 3 Mathematic Model -- 4 Experimental Results -- 5 Conclusions -- Acknowledgements -- References -- An Iterative Method for the Least Squares Anti-bisymmetric Solution of the Matrix Equation -- Abstract -- 1 Introduction -- 2 An Iterative Method for Solving Problem I. , 3 The Solution for Problem II -- References -- Parallelization of the Conical Area Evolutionary Algorithm on Message-Passing Clusters -- Abstract -- 1 Introduction -- 2 Partially Evolved Parallelization of CAEA -- 2.1 Partially Evolved Island Model -- 2.2 Elitist Migration Among Islands -- 2.3 Dynamic Directional Migration Topology -- 2.4 Procedure of PeCAEA -- 3 Experimental Results and Analysis -- 4 Conclusions -- Acknowledgments -- References -- Design of Heat Preservation Bathtub with Water Saving -- Abstract -- 1 Introduction -- 2 Problem Description -- 3 The Model -- 3.1 Analysis of Bath Process -- 3.2 Analysis of Heat Gain and Loss -- 3.3 A Double Multi-objective Optimization Model -- 3.4 Effect of Bubble Bath Agent -- 4 Sensitivity Analysis -- 5 Conclusion -- References -- A Label-Correlated Multi-label Classification Algorithm Based on Spearman Rank Correlation Coefficient -- Abstract -- 1 Introduction -- 2 An Introduction to Related Algorithms -- 2.1 Spearman Rank Correlation Coefficient -- 2.2 Confidence and Confidence Interval -- 2.3 Multi-label Classification Strategy of Adaboost-SVM -- 3 Label-Correlated Multi-label Classification Model Algorithm (LC-ASVM) -- 3.1 General Design -- 3.2 Correlation Analysis of Characteristics -- 3.3 Confidence Form Multi-label SVM -- 3.4 Build LC-ASVM Model -- 4 Experiment and Analysis -- 4.1 Experimental Datasets -- 4.2 Experimental Results and Analysis -- 5 Conclusions -- References -- Effect of Film Thickness on Load-Carrying Property of Seawater Dynamic-Hydrostatic Hybrid Thrust Bearing -- Abstract -- 1 Introduction -- 2 Brief of Seawater-Lubricated Hydrostatic-Dynamic Thrust Bearing -- 2.1 Lubricate Flow Through the Channel in the Sector Opposed Supporting Ladder-Cavity -- 2.2 Supporting Mechanism for Opposed Supporting Ladder-Cavity -- 2.3 Initial Design Parameters of the Thrust Bearing. , 3 Property Index of the Thrust Bearing -- 3.1 Static Property Index -- 3.2 Dynamic Property Index -- 3.3 Vibration Property Index -- 4 Influence of Shallow Cavity Depth on Static Performance -- 5 Influence of Film Thickness on Dynamic Property Index -- 6 Influence of Film Thickness on Vibration Property Index -- 7 Conclusion -- Acknowledgement -- References -- Research on Static Performance of Water-Lubricated Hybrid Bearing with Constant Flow Supply -- Abstract -- 1 Introduction -- 2 Static Performance Analysis -- 2.1 Flow Condition -- 2.2 Bearing Force Calculation -- 2.3 Static Performance Indexes -- 2.4 Influence of Parameter on Static Index -- 3 Conclusion -- Acknowledgement -- References -- A New Method for Desiccant Package Quality Check -- Abstract -- 1 Introduction -- 2 The Proposed Method -- 2.1 Correct the Captured Image -- 2.2 Wipe Out the Contaminated Samples -- 2.3 Detect the Integrity of the Packaging -- 3 Experiment Result -- 4 Conclusion -- Acknowledgments -- References -- A Novel Algorithm for Laser Spot Detection Based on Quaternion Discrete Cosine Transform -- Abstract -- 1 Introduction -- 2 The Quaternion Discrete Cosine Transform Based Laser Spot Detection -- 2.1 Quaternion Discrete Cosine Transform -- 2.2 Image Moment Method (IMM) -- 3 Experiment -- 4 Conclusions -- References -- Natural Frequency Modification Using Frequency-Shift Combined Approximations Algorithm -- Abstract -- 1 Introduction -- 2 Formulation and Solution -- 2.1 Natural Frequency Sensitivity Analysis Using FSCA Method -- 2.2 Natural Frequency Modification Based on Taylor Series Expansion -- 3 Numerical Example -- 4 Conclusion -- Acknowledgements -- References -- Adaptive Stochastic Ranking Schemes for Constrained Evolutionary Optimization -- Abstract -- 1 Introduction -- 2 Theoretical Analysis and Proposed Approach -- 3 Experimental Results -- 4 Conclusion. , Acknowledgments -- References -- A Case-Based Reasoning Method with Relative Entropy and TOPSIS Integration -- Abstract -- 1 Introduction -- 2 Related Work -- 3 CBR Framwork with Relative Entropy and TOPSIS -- 3.1 Similarity Measure -- 3.2 A New Ensemble Measure -- 4 RTCBR Algorithm -- 5 Experiment Study and Analysis -- 5.1 Experiment Design -- 5.2 Result Analysis -- 6 Conclusion -- Acknowledgment -- References -- An Algorithm Design for Electrical Impedance Tomography Based on Levenberg Method -- Abstract -- 1 Introduction -- 2 Levenberg-Marpuardt Algorithm (L-Algorithm) -- 3 Construct Differential Matrix in L-Algorithm -- 4 Construction of Improved Algorithm for Electrical Impedance Tomography -- 5 Proposed Algorithm and Further Considerations -- 6 Conclusion -- References -- A Return-Value-Unchecked Vulnerability Detection Method Based on Property Graph -- Abstract -- 1 Introduction -- 2 System Design -- 3 Property Graph Representation for Binary Software -- 3.1 Intermediate Representation -- 3.2 Static Analysis Based on Intermediate Representation -- 3.3 Property Graph Generation -- 4 Vulnerability Model and Detect Based on Property Graph -- 4.1 Vulnerability Model -- 4.2 Vulnerability Detection -- 5 Implementation and Evaluation -- 5.1 Implementation -- 5.2 Evaluation -- 6 Summary -- References -- GA Based Optimization of Sign Regressor FLANN Model for Channel Equalization -- Abstract -- 1 Introduction -- 2 Channel Equalization Model -- 2.1 FLANN Model -- 2.2 Optimization Using GA -- 3 Result and Discussion -- 4 Conclusion -- References -- Research of Chemical Fabric Style Prediction System Based on Integrated Neural Network -- Abstract -- 1 Introduction -- 2 Processing of the Samples Data -- 2.1 Preprocessing of Fabric Structure Parameters -- 2.2 Introduction of Fabric Structure Complexity Factor -- 2.3 Method for Dividing Fabric Subset. , 3 Comparison of Two Predictive Methods -- 3.1 Single BP Neural Network Prediction -- 3.2 Integrated Neural Network Prediction -- 4 Conclusion -- Acknowledgements -- References -- Internet and Cloud Computing -- The Influencing Factor Analysis of Micro-blog User Adding Attend Object -- Abstract -- 1 Introduction -- 2 Relationship Between User Intimacy and Attended Objects -- 2.1 Influence Factors of Intimacy and the Representation -- 2.1.1 Basic Factors -- 2.1.2 Considering Factors -- 2.1.3 Influent Factors -- 2.2 The Definition and Computation of Intimation -- 2.3 The Relationship Between User Intimacy and the Attended Object -- 3 The Relationship Between User's Interest Degree and Attended Object -- 3.1 Interest Similarity Calculation -- 3.2 Recommendation Based on Interest Similarity Relationship -- 4 Experiment and Analyzing -- 4.1 Experimental Environment -- 4.2 Evalution Index of Result -- 4.3 Experimental Results -- 5 Conclusion -- Acknowledgement -- References -- History Path Reconstruction Analysis of Topic Diffusion on Microblog -- Abstract -- 1 Introduction -- 2 Problem Formulation -- 2.1 Basic Definition -- 2.2 Topic Detection -- 2.3 Probabilistic Score Based Diffusion Model -- 3 Experiment Results and Discussion -- 3.1 Experiment Realization -- 3.2 Experimental Results and Analysis -- 4 Conclusion -- Acknowledgements -- References -- A Novel Session Identification Scheme with Tabbed Browsing -- Abstract -- 1 Introduction -- 2 Related Works -- 2.1 Traditional Browsing and Tabbed Browsing -- 2.2 Survey of Users' Browsing Modes -- 2.3 Tabbed Browsing and Session Identification -- 3 Fixed Threshold Session Identification Scheme -- 4 Novel Session Identification Scheme -- 5 Experiment and Evaluation -- 5.1 Date Preprocessing -- 5.2 Metrics -- 5.3 Performance Evaluation -- 6 Conclusion -- Acknowledgement -- References. , Research of Optimizing the System Partition in Android System.

Anmerkung: Intro -- AIVR 2022 Organization -- Preface -- Contents -- About the Editors -- Part I Invited Paper -- 1 Paraconsistency and Paracompleteness in AI: Review Paper -- 1.1 Introduction -- 1.1.1 Classical and Non-classical Logic -- 1.2 Paraconsistent and Paracomplete Logic -- 1.3 AI and Formal Systems -- 1.4 Paraconsistent Annotated Evidential Logic Eτ -- 1.5 Application in Robotics -- 1.5.1 Description of the Prototype -- 1.5.2 Development of the Paraconsistent Annotated Logic Algorithm -- 1.6 Multi-criteria Decision Analysis (MCDA) in Health Care -- 1.7 Conclusions -- References -- Part II Regular Papers -- 2 Decision Support Multi-agent Modeling and Simulation of Aeronautic Marine Oil Spill Response -- 2.1 Introduction -- 2.2 Modeling and Simulation -- 2.2.1 Marine Oil Spill Response Process -- 2.2.2 DEVS and Multi-agent Modeling -- 2.3 Response Plan Evaluation -- 2.3.1 Response Plan Agent -- 2.3.2 Evaluation Indicators System -- 2.4 Instance Analysis -- 2.4.1 Simulation Scenario -- 2.4.2 Simulation-Based Evaluation for Decision Support -- 2.5 Conclusion -- References -- 3 Transferring Dense Object Detection Models To Event-Based Data -- 3.1 Introduction -- 3.1.1 Contributions and Outline -- 3.2 Dataset and Frame Representation -- 3.2.1 KITTI Vision Dataset -- 3.2.2 Optical Event Data and Histograms -- 3.3 Implementation -- 3.3.1 Sparseconvnet Extensions -- 3.3.2 Asynet Extensions -- 3.3.3 Dataloader -- 3.4 Error Analysis -- 3.4.1 Sparse YOLO Versus Dense YOLO -- 3.4.2 Sparse Versus Dense Convolutions -- 3.4.3 Event-Window Size -- 3.5 Runtime Analysis -- 3.5.1 Dense Versus Sparse -- 3.5.2 Batch Size -- 3.5.3 Synchronous Versus Asynchronous -- 3.5.4 Asynchronous Sequence Count -- 3.5.5 Theoretical Runtime -- 3.6 Conclusion -- References. , 4 Diagnosing Parkinson's Disease Based on Voice Recordings: Comparative Study Using Machine Learning Techniques -- 4.1 Introduction -- 4.2 Related Research Work -- 4.2.1 Logistic Regression -- 4.2.2 Random Forest -- 4.2.3 SVM -- 4.2.4 KNN -- 4.2.5 Gradient-boosted Decision Trees -- 4.3 Dataset -- 4.4 Methodology -- 4.5 Results -- 4.6 Conclusion -- References -- 5 Elements of Continuous Reassessment and Uncertainty Self-awareness: A Narrow Implementation for Face and Facial Expression Recognition -- 5.1 Introduction -- 5.2 Proposed Solution -- 5.3 Data Set -- 5.4 Experiments -- 5.4.1 Trusted Accuracy Metrics -- 5.5 Results -- 5.6 Discussion, Conclusions, and Future Work -- References -- 6 Topic-Aware Networks for Answer Selection -- 6.1 Introduction -- 6.2 Related Works -- 6.2.1 Topic Embedding Generation -- 6.2.2 Answer Selection -- 6.3 Methodology -- 6.3.1 Topic Embedding -- 6.3.2 Topic-Aware Networks -- 6.3.3 Triplet Loss -- 6.4 Experiments -- 6.4.1 Dataset -- 6.4.2 Experiment Settings -- 6.4.3 Results and Discussion -- 6.5 Conclusion and Future Work -- References -- 7 Design and Implementation of Multi-scene Immersive Ancient Style Interaction System Based on Unreal Engine Platform -- 7.1 Introduction -- 7.2 Technical Basis -- 7.2.1 Lighting Model -- 7.2.2 From Physical Phenomena to BRDF -- 7.2.3 Physical-based Environment Lighting -- 7.3 Conceive Preparation -- 7.3.1 Research on the Current Situation of UE4 Used for Developing This Work -- 7.3.2 Storyboard -- 7.3.3 Design Process -- 7.4 The Main Scene Building Part -- 7.4.1 The Idea of Building a Scene of the Tang Dynasty -- 7.4.2 Collider -- 7.4.3 Light Effect of Dusk -- 7.4.4 Particle Effects -- 7.5 Functional Design -- 7.5.1 Sequence Animation in Scene -- 7.5.2 Release Kongming Lanterns -- 7.5.3 Large Amounts of Kongming Lanterns Take off -- 7.6 Artwork Display and Rendering Resource Analysis. , 7.6.1 Project Framework Diagram and Interactive Display Screenshots -- 7.6.2 Project Performance Analysis -- 7.6.3 Project Innovation -- 7.7 Conclusion -- 8 Auxiliary Figure Presentation Associated with Sweating on a Viewer's Hand in Order to Reduce VR Sickness -- 8.1 Introduction -- 8.2 Related Work -- 8.3 Experiment to Select Physiological Signal that Correlates with VR Sickness -- 8.3.1 Physiological Signals -- 8.3.2 Experiment Environment and Task -- 8.3.3 Result -- 8.3.4 Analyses and Discussions -- 8.4 Design of Auxiliary Figure Control System -- 8.5 Evaluation Experiment -- 8.5.1 Procedure and Task -- 8.5.2 Results -- 8.5.3 Discussions -- 8.6 Conclusions -- References -- 9 Design and Implementation of Immersive Display Interactive System Based on New Virtual Reality Development Platform -- 9.1 Introduction -- 9.2 System Methodology -- 9.2.1 Demand Analysis -- 9.2.2 Analysis of Our Developing Platform -- 9.2.3 Development Processing -- 9.3 Analysis of Key Technologies -- 9.3.1 Model Construction and Import -- 9.3.2 Real Shading in Unreal Engine 4 -- 9.3.3 Making Interactive Experiences -- 9.4 Conclusion -- References -- 10 360-Degree Virtual Reality Videos in EFL Teaching: Student Experiences -- 10.1 Introduction -- 10.2 Literature Review -- 10.2.1 Different VR Types -- 10.2.2 VR in Higher Education -- 10.2.3 VR Embedded Language Learning -- 10.3 Research Methods -- 10.3.1 Participants -- 10.3.2 Instruments -- 10.3.3 Procedures -- 10.3.4 Data Analysis -- 10.4 Results -- 10.4.1 Results of Two Interview Questions -- 10.5 Discussion -- 10.6 Conclusions -- References -- 11 Medical-Network (Med-Net): A Neural Network for Breast Cancer Segmentation in Ultrasound Image -- 11.1 Introduction -- 11.2 Related Work -- 11.3 Proposed Breast Ultrasound Segmentation Model (Med-Net) -- 11.3.1 Encoder Architecture -- 11.3.2 Attention Module. , 11.3.3 Decoder Architecture -- 11.3.4 Implementation Details -- 11.3.5 Dataset -- 11.4 Discussion -- 11.5 Conclusion -- References -- 12 Auxiliary Squat Training Method Based on Object Tracking -- 12.1 Introduction -- 12.2 Material and Methods -- 12.2.1 The Basic Force Arm of Deep Squat -- 12.2.2 Object Tracking -- 12.2.3 Action Analysis -- 12.3 Results -- 12.3.1 Sagittal Plane Motion Analysis -- 12.3.2 Coronal Plane Motion Analysis -- 12.4 Discussion -- 12.5 Conclusion -- References -- 13 Study on the Visualization Modeling of Aviation Emergency Rescue System Based on Systems Engineering -- 13.1 Introduction -- 13.2 Aviation Emergency Rescue System Architecture Analysis -- 13.2.1 Disaster Prevention and Early Warning Stage -- 13.2.2 Disaster Preparation Stage -- 13.2.3 Emergency Response Stage -- 13.2.4 Recovery and Reconstruction Stage -- 13.3 Aviation Emergency Rescue System Visualization Model -- 13.3.1 Operational Viewpoint DoDAF-Described Models -- 13.3.2 Capability Viewpoint DoDAF-Described Models -- 13.4 Conclusion -- References -- 14 An AI-Based System Offering Automatic DR-Enhanced AR for Indoor Scenes -- 14.1 Introduction -- 14.2 System Overview -- 14.2.1 Object Segmentation Component -- 14.2.2 Layout Estimation Component -- 14.2.3 Inpainting Component -- 14.2.4 Super-Resolution Component -- 14.2.5 Implementation and Orchestration -- 14.3 Experimental Setup Methodology -- 14.3.1 Component Ablation -- 14.3.2 User Study -- 14.4 Results and Discussion -- 14.4.1 Objective Evaluation -- 14.4.2 Subjective Evaluation -- 14.5 Conclusion -- References -- 15 Extending Mirror Therapy into Mixed Reality-Design and Implementation of the Application PhantomAR to Alleviate Phantom Limb Pain in Upper Limb Amputees -- 15.1 Introduction -- 15.2 Methods and Materials -- 15.2.1 Study Setup and Protocol -- 15.3 Gameplay and Technical Implementation. , 15.3.1 Game Design and Interaction Scenes -- 15.3.2 Spatial Mapping -- 15.3.3 Virtual Arm and Non-Anthropomorphic Feedback -- 15.3.4 Virtual Arm Movement -- 15.3.5 Virtual Hand Movement -- 15.3.6 Calibration -- 15.3.7 Interaction with Virtual Environment -- 15.3.8 Remote Connection for Therapeutic Intervention -- 15.4 Results -- 15.5 Discussion -- 15.6 Conclusion -- References -- 16 An Analysis of Trends and Problems of Information Technology Application Research in China's Accounting Field Based on CiteSpace -- 16.1 Questions Posed -- 16.2 Text Mining and Visual Analysis of Research Trends in Information Technology in the Field of Accounting in China -- 16.2.1 Research Tools -- 16.2.2 Source of Data -- 16.2.3 Text Mining and Visual Analysis of Related Research Based on Classification -- 16.3 A Review of Major Issues Discovered by Research and Analysis Regarding the Application of Information Technology in Accounting -- 16.3.1 Few Studies Have Been Conducted on the Application of Information Technology to Accounting in SMEs -- 16.3.2 The Number and Quality of Information-Based Accounting Education Research is Low and Declining -- 16.4 Conclusions and Recommendations of the Research on the Application of Information Technology in Accounting -- 16.4.1 Conclusions of the Research -- 16.4.2 Research Recommendations for Advancing the Application of Information Technology in Accounting -- References -- 17 Augmented Reality Framework and Application for Aviation Emergency Rescue Based on Multi-Agent and Service -- 17.1 Introduction -- 17.2 Framework of Augmented Reality System -- 17.2.1 System Framework -- 17.2.2 Service-Oriented Architecture -- 17.2.3 Multi-Agent Architecture -- 17.3 Construction of Aviation Emergency Rescue Augmented System -- 17.3.1 Construction of System -- 17.3.2 Services Development -- 17.3.3 Entity Development. , 17.4 Simulation of Aviation Emergency Rescue.

Anmerkung: Preface -- About This Book -- Contents -- Part I Computational Modelling -- 1 Computational Management-An Overview -- 1.1 Introduction -- 1.2 Computational Intelligence Techniques -- 1.2.1 Fuzzy Logic -- 1.2.2 Artificial Neural Networks -- 1.2.3 Evolutionary Computing -- 1.2.4 Learning Theories -- 1.2.5 Probabilistic Methods -- 1.3 Computational Aspects of Business Management -- 1.3.1 Marketing -- 1.3.2 Sales -- 1.3.3 Customer Relationship Management (CRM) -- 1.3.4 Finance -- 1.3.5 Human Resources -- 1.3.6 Manufacturing -- 1.3.7 Maintenance and Service -- 1.3.8 Research and Development -- 1.4 Benefits and Limitations of Computational Intelligence in Business -- 1.5 Applications of Computational Intelligence in Business -- 1.5.1 Applications of Computational Intelligence in the Field of Marketing -- 1.5.2 Computational Intelligence and Human Resource -- 1.5.3 Computational Intelligence and Finance -- 1.5.4 Computational Intelligence in Operations Management -- 1.6 Conclusion and Future Scope -- References -- 2 Mathematical and Computational Approaches for Stochastic Control of River Environment and Ecology: From Fisheries Viewpoint -- 2.1 Introduction -- 2.2 Stochastic Control -- 2.2.1 Stochastic Differential Equation -- 2.2.2 Performance Index and Value Function -- 2.2.3 HJB Equation -- 2.2.4 Remarks -- 2.3 Specific Problems -- 2.3.1 "Non-renewable" Fishery Resource Management -- 2.3.2 Dam-Reservoir System Management -- 2.3.3 Algae Growth Management -- 2.3.4 Sediment Storage Management -- 2.4 Coupled Problem -- 2.4.1 Overview -- 2.4.2 Control Problem -- 2.4.3 Numerical Scheme -- 2.4.4 Computational Conditions -- 2.4.5 Numerical Computation -- 2.5 Conclusions -- References -- 3 Models and Tools of Knowledge Acquisition -- 3.1 Introduction -- 3.1.1 Knowledge Economy -- 3.2 Literature Review -- 3.2.1 The Role and Importance of Knowledge Acquisition. , 3.2.2 Digitizing Knowledge Acquisition -- 3.3 Knowledge Management and Firm Strategy -- 3.3.1 Strategic Knowledge-An Internal and External Perspective -- 3.3.2 Competitive Intelligence -- 3.4 Knowledge Acquisition: Sources and Techniques -- 3.4.1 External Sources of Knowledge -- 3.4.2 Techniques of Knowledge Acquisition -- 3.5 Role of Technology in Knowledge Acquisition and Management -- 3.5.1 The Emergence of API Economy -- 3.5.2 Artificial Intelligence -- 3.6 Conclusion -- References -- 4 Profits Are in the Eyes of the Beholder: Entropy-Based Volatility Indicators and Portfolio Rotation Strategies -- 4.1 Introduction -- 4.2 Entropy and Its Applications to the VIX -- 4.3 Literature Review -- 4.4 Research Objectives -- 4.5 Theoretical Framework -- 4.6 Data Variables, Measurements, and Sources -- 4.7 Methods and Measures -- 4.8 Empirical Results -- 4.9 Formulation and Testing of Trading Strategies -- 4.10 Summary and Concluding Remarks -- Appendix 1: Trading Strategies Using India VIX Change and the Entropies (Both Approximate and Sample Entropies) Tested Through Simulations -- References -- 5 Asymmetric Spillovers Between the Stock Risk Series: Case of CESEE Stock Markets -- 5.1 Introduction -- 5.2 Related Literature Review -- 5.2.1 (M)GARCH Approaches to Modelling -- 5.2.2 Causality Testing and Cointegration -- 5.2.3 Spillover Methodology Approach -- 5.3 Methodology Description -- 5.3.1 VAR Models and Spillover Index -- 5.3.2 Asymmetric Spillovers -- 5.4 Empirical Results -- 5.4.1 Variable Description -- 5.4.2 Static Results -- 5.4.3 Dynamic Analysis -- 5.4.4 Robustness Checking -- 5.4.5 Simulation of Investment Strategies -- 5.5 Discussion and Conclusion -- Appendix -- References -- 6 Millennial Customers and Hangout Joints: An Empirical Study Using the Kano Quantitative Model -- 6.1 Introduction -- 6.1.1 Motivations of the Study. , 6.1.2 Background of the Study -- 6.2 Literature Review -- 6.3 Model Development -- 6.3.1 Research Gap -- 6.3.2 Research Objectives -- 6.3.3 The Kano Model -- 6.3.4 Research Design -- 6.3.5 Survey Instrument -- 6.4 Results and Discussion -- 6.4.1 Exploratory Factor Analysis Results -- 6.4.2 Reliability Analysis Results -- 6.4.3 Kano Quantitative Analysis Results -- 6.5 Conclusions and Future Scope -- 6.5.1 Conclusions -- 6.5.2 Future Scope -- References -- 7 The Effects of Oil Shocks on Macroeconomic Uncertainty: Evidence from a Large Panel Dataset of US States -- 7.1 Introduction -- 7.2 Data and Methodology -- 7.3 Results and Analysis -- 7.3.1 Linear Impulse Responses -- 7.3.2 Responses of Uncertainty Contingent on High- Versus Low-Oil Dependence States -- 7.3.3 Responses of Uncertainty at Different Horizons Conditioning on Aggregate US Uncertainty Spillovers -- 7.4 Conclusion -- Appendix -- References -- 8 Understanding and Predicting View Counts of YouTube Videos Using Epidemic Modelling Framework -- 8.1 Introduction -- 8.1.1 Literature Review -- 8.2 Building Block for Proposed Epidemic Modelling -- 8.2.1 Epidemic Modelling -- 8.2.2 Assumptions -- 8.2.3 Modelling Information Diffusion as Susceptibility Process -- 8.2.4 Modeling Viewing as Infection Process -- 8.2.5 Particular Case -- 8.3 Numerical Illustration -- 8.4 Results and Interpretation -- References -- 9 Gross Domestic Product Modeling Using ``Panel-Data'' Concept -- 9.1 Introduction -- 9.2 Materials -- 9.3 Statistical Preliminaries and Methods -- 9.4 Results -- 9.5 Concluding Remarks -- References -- 10 Supply Chain Scheduling Using an EOQ Model for a Two-Stage Trade Credit Financing with Dynamic Demand -- 10.1 Introduction -- 10.2 Literature Review -- 10.3 Assumptions and Notations -- 10.3.1 Assumptions: -- 10.3.2 Notations -- 10.4 Mathematical Formulation -- 10.5 Numerical Illustrations. , 10.6 Graphical Representations -- 10.7 Conclusion and Managerial Implications -- References -- 11 Software Engineering Analytics-The Need of Post COVID-19 Business: An Academic Review -- 11.1 Introduction -- 11.2 COVID19-Effects in Business -- 11.2.1 Tourism and Hospitality -- 11.2.2 Airlines and Aviation -- 11.2.3 Oil and Gas -- 11.2.4 Automotive Manufacturing -- 11.2.5 Consumer Products -- 11.2.6 Education -- 11.2.7 Software Industry -- 11.3 Research Methodology -- 11.4 Software Development Life Cycle (SDLC) -- 11.4.1 Software Requirements Analysis -- 11.4.2 Software Design -- 11.4.3 Software Implementation -- 11.4.4 Software Testing -- 11.4.5 Software Deployment -- 11.4.6 Software Maintenance -- 11.5 Software Analytics -- 11.5.1 Literature Analysis -- 11.5.2 Journal Publications with Frequency -- 11.5.3 Citations/Year -- 11.5.4 Software Engineering Analytics: Connotes -- 11.6 Conclusion -- References -- 12 The Rise and Fall of the SCOR Model: What After the Pandemic? -- 12.1 Introduction: The SCOR Model as a Supply Chain Management Foundation -- 12.2 The Evolution of Supply Chain Management -- 12.3 The SCOR Model-A Foundation for Supply Chain Management -- 12.3.1 Supply Chain Optimisation in the Digital Supply Chain Era -- 12.4 Is the Scor Model Still Relevant? -- 12.4.1 The Evolution of the Scor Model -- 12.4.2 The Fall of the Scor Model -- 12.4.3 Is the Resurrection of the Scor Model Possible? -- 12.5 Re-designing the Future of Supply Chains Using Scor -- 12.5.1 Re-designing for Supply Chain Reliability -- 12.5.2 Re-designing for Supply Chain Agility and Responsiveness -- 12.5.3 Re-designing for Supply Chain Asset Management -- 12.6 Concluding Remarks -- References -- Part II Management Optimization -- 13 A Comparative Study on Multi-objective Evolutionary Algorithms for Tri-objective Mean-Risk-Cardinality Portfolio Optimization Problems. , 13.1 Introduction -- 13.2 Portfolio Optimization -- 13.3 Multi-objective Evolutionary Algorithms -- 13.4 Multi-objective Evolutionary Algorithms for Portfolio Optimization Problems-A Literature Review -- 13.4.1 Mean-Variance Portfolio Optimization Using MOEAs -- 13.4.2 Mean-Risk Portfolio Optimization Using MOEAs -- 13.4.3 Three-Objective Portfolio Optimization Using MOEAs -- 13.5 Experimental Results -- 13.6 Conclusion -- References -- 14 Portfolio Insurance and Intelligent Algorithms -- 14.1 Introduction -- 14.2 Portfolio Insurance -- 14.2.1 Multi-period Portfolio Insurance Under Transaction Costs -- 14.3 Intelligent Algorithms -- 14.3.1 Beetle Antennae Search Algorithm -- 14.3.2 Popular Meta-Heuristic Algorithms -- 14.3.3 Multi-objective Optimization -- 14.3.4 The Main Algorithm for the MPMCPITC Problem -- 14.4 Portfolios' Applications with Real-World Data -- 14.4.1 Application in 4 Stocks' Portfolio -- 14.4.2 Application in 8 Stocks' Portfolio -- 14.4.3 Application in 12 Stocks' Portfolio -- 14.4.4 Application in 16 Stocks' Portfolio -- 14.4.5 Results and Performance Comparison of BAS, BA, FA and GA -- 14.5 Conclusion -- References -- 15 On Interval-Valued Multiobjective Programming Problems and Vector Variational-Like Inequalities Using Limiting Subdifferential -- 15.1 Introduction -- 15.2 Definitions and Preliminaries -- 15.3 Relationship Between (GMVVLI), (GSVVLI) and (IVMPP) -- 15.4 Relationship Between (WGMVVLI), (WGSVVLI) and (IVMPP) -- 15.5 Existence Results for (GMVVLI) and (GSVVLI) -- 15.6 Conclusions -- References -- 16 Portfolio Optimization Using Multi Criteria Decision Making -- 16.1 Introduction -- 16.2 An Overview of Multi Criteria Decision Making (MCDM) Process -- 16.3 Classification of Multi Criteria Decision Making Processes -- 16.4 Quantitative Techniques Applied for the MCDM -- 16.5 Financial Decision Problem. , 16.6 Risk Modeling and SWOT Analysis.

Anmerkung: Intro -- Editorial -- Acknowledgements -- Contents -- Management of V.U.C.A. (Volatility, Uncertainty, Complexity and Ambiguity) Using Machine Learning Techniques in Industry 4.0 Paradigm -- 1 Introduction -- 1.1 Industry 4.0 Paradigm -- 1.2 V.U.C.A. Factors -- 1.3 Applied Machine Learning -- 2 Role of Some Common ML Techniques Applied in Industry 4.0 Platforms for V.U.C.A. Management -- 2.1 The Role of Linear Regression -- 2.2 The Role of Logistic Regression -- 2.3 The Role of Decision Tree -- 2.4 The Role of Random Forest -- 2.5 The Role of SVM -- 2.6 The Role of Naïve Bayes -- 2.7 The Role of kNN (k-Nearest Neighbors) -- 2.8 The Role of k-Means -- 3 V.U.C.A. Management in Industry 4.0 -- 4 Conclusion -- References -- Role of Industry 4.0 in Performance Improvement of Furniture Cluster -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results and Discussion -- 5 Discussion and Conclusion -- Annexure: Explanation of Factors -- References -- Imparting Hands-on Industry 4.0 Education at Low Cost Using Open Source Tools and Python Eco-System -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Strength Areas -- 4.1 MS Excel -- 4.2 IBM SPSS -- 4.3 R -- 4.4 GRETL -- 4.5 Python -- 5 Conclusion -- References -- Decision Support Framework for Smart Implementation of Green Supply Chain Management Practices -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Fuzzy DEMATEL -- 3.2 Fuzzy TOPSIS -- 3.3 Fuzzy SWARA -- 4 Problem Description -- 5 Proposed Framework to Rank Criteria -- 5.1 Phase I: Identification Key GSCM Criteria -- 5.2 Phase II: Ranking Criteria by Fuzzy DEMATEL -- 5.3 Phase III: Determining Weights by Fuzzy SWARA -- 5.4 Phase IV: Comparison of the Results -- 6 Implementation of Proposed Framework -- 6.1 Ranking the Criteria by Fuzzy DEMATEL -- 6.2 Ranking the Criteria by Fuzzy TOPSIS. , 6.3 Computing Weights by Fuzzy SWARA -- 6.4 Fuzzy TOPSIS for Ranking the Criteria -- 7 Results and Discussions -- 8 Managerial Implications -- 9 Conclusions -- References -- Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry -- 1 Introduction -- 2 Supply Chain Management and Performance Measurement Systems -- 3 Textile Supply Chain -- 4 Decision Support System Using Balanced Score Card and Analytic Hierarchy Process -- 5 Research Case Problem -- 6 Methodology Used in Developing DSS -- 7 Case Study -- 8 Data Analysis -- 9 Results and Discussion -- 10 Managerial Implication -- 11 Conclusion -- 12 Limitation -- Appendix -- References -- A Review Study of Condition Monitoring and Maintenance Approaches for Diagnosis Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers -- 1 Introduction -- 2 Literature Survey -- 2.1 Corrosive Sulphur Problem and Consequence -- 3 Currently Applied CM Techniques -- 3.1 Oil Analysis Technique -- 3.2 Electrical Testing Technique -- 3.3 Reaction Mechanism of Formation CSD -- 3.4 Maintenance Approaches -- 4 Result and Discussion -- 4.1 Gap in Implementation Relevant Oil Analysis -- 4.2 Gap in Implementation Relevant Electrical Testing -- 4.3 Gap in Relevant Corrosion Reaction Mechanism -- 4.4 Gap in Detection Relevant Gases By-Products -- 4.5 Outline of Capabilities and Shortcomings -- 5 Conclusion -- References -- Principal Components Based Multivariate Statistical Process Monitoring of Machining Process Using Machine Vision Approach -- 1 Introduction -- 2 Related Research Work -- 3 Multivariate Statistical Control Charts -- 3.1 Hotelling T2 Charts for Individual Observations -- 4 Data Dimensionality Reduction Using Principal Components Analysis -- 5 Machine Vision Approach for Extraction of Quality Parameters -- 6 PC Based MSPM Using MVS: A Case Study. , 6.1 Extraction of Dimensions -- 6.2 Extraction of Surface Texture -- 7 Methodology for PC Based MSPM Using MV -- 8 Results and Discussion -- 9 Conclusion -- References -- Green IS-Exploring Environmental Sensitive IS Through the Lens of Enterprise Architecture -- 1 Introduction -- 2 Green IS-IS Supporting Environmental Care in Firms -- 2.1 Green IS-The Need of a "Big Picture" -- 2.2 Organization Information Space and IS Information Fields -- 3 EA as a Meta-Architecture and Modelling of Green IS -- 4 Green IS as a Functioning Enterprise-EA View -- 4.1 Environmentally Sensitive Business Model (Row 2-Owner's Perspective) -- 4.2 Environmentally Supportive Systems Model (Row 3-Designer's Perspective) -- 4.3 Environmentally Enhanced Technology Model (Row 4-Builder's Perspective) -- 4.4 Scope of Green IS (Row 1-Scope or Planner's View) -- 5 Discussions -- 5.1 Green IS-Connecting the Views Together -- 5.2 OIC and Green IS-Interconnectivity -- 6 Conclusions -- References.

Anmerkung: Intro -- Foreword -- References -- Preface -- Contents of the Volume -- References (those listed in Prof. Ashok Sahni's bibliography below are not included here) -- Bibliography of Ashok Sahni -- Contents -- Contributors -- 1 First Ornithischian and Theropod Dinosaur Teeth from the Middle Jurassic Kota Formation of India: Paleobiogeographic Relationships -- Abstract -- Introduction -- Geological Setting -- Age -- Methods and Materials -- Locality Information -- Fossils Collected -- Institutional Abbreviations -- Systematic Paleontology -- Discussion -- Biogeographic Links of the Kota Vertebrate Fauna -- Conclusions -- Acknowledgements -- References -- 2 Upper Gondwana (Jurassic to Early Cretaceous) Palynoflora of India: Its Correlation with Other Gondwana Continents and Phytogeographical Implications -- Abstract -- Introduction -- Geological Setting and Lithostratigraphy -- Jurassic -- Early Cretaceous -- Palynosequencing of the Jurassic and Early Cretaceous Deposits -- Jurassic -- Inter-basinal Correlation -- Jurassic-Cretaceous Boundary -- Early Cretaceous -- Inter-basinal Correlation -- Tectonics Versus Eustasy -- Intra-Gondwanan Correlation -- Paleovegetation and Paleoenvironment -- Phytogeography -- Conclusions -- Acknowledgements -- References -- 3 A Third, Remarkably Small, Tribosphenic Mammal from the Mesozoic of Australia -- Abstract -- Introduction -- Methods -- Type Locality -- Type Horizon, Rock Unit and Age -- Institutional Abbreviation -- Systematic Paleontology -- Discussion and Conclusions -- Acknowledgements -- References -- 4 Evidence for a Remarkably Large Toothed-Monotreme from the Early Cretaceous of Lightning Ridge, NSW, Australia -- Abstract -- Introduction -- Institutional Abbreviations -- Systematic Paleontology -- Conclusions -- Acknowledgements -- References. , 5 Role of Plate Tectonics and Global Climate Change in the Evolution of Angiosperms -- Abstract -- Introduction -- Palynological Records -- Pre-cretaceous Records -- Early Cretaceous Records -- Late Cretaceous Records -- Discussion -- Evolution of Angiosperm -- Angiosperm Evolution versus Tectonics -- Paleobotanical Records of Angiosperm Evolution -- Future Prospects -- Acknowledgements -- References -- 6 Anuran Lissamphibian and Squamate Reptiles from the Upper Cretaceous (Maastrichtian) Deccan Intertrappean Sites in Central India, with a Review of Lissamphibian and Squamate Diversity in the Northward Drifting Indian Plate -- Abstract -- Introduction -- Repository -- Systematic Paleontology -- Taxonomic Status of Amphibians and Squamates from the Maastrichtian of India: An Overview -- Amphibians -- Squamates -- Comparison with the Anuran and Squamate Diversities in Other Continents -- Conclusions -- Acknowledgements -- References -- 7 Chelonian Pelomedusoides Remains from the Late Cretaceous of Upparhatti (Southwestern India): Systematics and Paleobiogeographical Implications -- Abstract -- Introduction -- Geology -- Turtle Yielding Cretaceous Localities of India -- Southwestern India -- Upparhatti, Belgaum District, Karnataka State (Fig. 7.1G) -- Western India -- Worli Hill (Fig. 7.1C) -- Amboli (Fig. 7.1B) -- Lakshmipur, Kachchh, Gujarat State (Fig. 7.1A) -- Central India -- Kisalpuri, Dindori District, Madhya Pradesh State (Fig. 7.1D) -- Pisdura Area, Chandrapur District, Maharashtra State (Fig. 7.1F). -- Dongargaon, Chandrapur District, Maharashtra State (Fig. 7.1F) -- Southeastern India -- Kunnam Locality, Perambalur District., Tamil Nadu State (Fig. 7.1H) -- Kallamedu Locality -- Material and Methods -- Abbreviations -- Systematic Paleontology -- Discussion -- Conclusion -- Taxonomic Implications -- Paleobiogeographical Implications. , Acknowledgements -- Appendix: Other Horizons of the Indian Subcontinent (Outside India) from Which a Pleurodiran was Documented -- References -- 8 The Age of Dinosaurs in the Land of Gonds -- Abstract -- Introduction -- Dinosaurs in Gondwana and Post-Gondwana Formations -- Dawn: The Beginnings of Dinosaurs in the Late Triassic -- Discovery of Indian Dinosaurs -- Lower Maleri Formation (Late Carnian-Early Norian) -- Upper Maleri Formation (Late Norian) -- Lower Dharmaram Formation (Rhaetian) -- End-Triassic Mass Extinction Event -- Day: Triumph of the Dinosaurs in the Jurassic -- Upper Dharmaram Formation (Early Jurassic, Hettangian) -- Lower Kota Formation (Sinemurian-Toarcian) -- Upper Kota Formation -- Upper Jurassic Bagra Formation -- Origin and Early Evolution of Sauropodomorpha -- Evening: Dinosaurs in the Drifting Indian Plate During the Cretaceous -- Nimar Sandstone (Cenomanian-Turonian) -- Lameta Formation (Maastrichtian) -- A Passage to India: Discovery of Cretaceous Dinosaurs -- The Lameta Dinosaurs -- Titanosaurs -- Abelisaurs -- Ankylosaurs -- Kallamedu Formation -- Dinosaur Eggs and Babies -- Dinosaur Coprolites and Food Preference -- Night: Death of the Dinosaurs -- Asteroid Impacts -- Chicxulub Crater, Yucatan Peninsula, Mexico -- Shiva Crater, Mumbai Offshore Basin, India -- Killing Mechanism -- Deccan Volcanism -- Impact-Induced Volcanism -- Aftermath of the K-Pg Extinction -- Acknowledgements -- References -- 9 Leaving Gondwana: The Changing Position of the Indian Subcontinent in the Global Faunal Network -- Abstract -- Introduction -- Methods -- Faunal Similarity Networks -- Global Patterns -- Data Collection -- Results and Discussion -- The Late Cretaceous of the Indian Subcontinent -- The Paleocene of the Indian Subcontinent -- The Eocene of the Indian Subcontinent -- Global Faunal Network of the Cretaceous and Paleogene. , Density, Centrality, and Modularity -- A Theoretical Paleocene Fauna from the Indian Subcontinent -- Conclusions -- Acknowledgments -- Appendix 1: Data and Bins -- Appendix 2: Faunal Network Function -- References -- 10 Island Africa and Vertebrate Evolution: A Review of Data and Working Hypotheses -- Abstract -- Introduction -- The Native African Fauna (Fig. 10.2) -- The Fauna of the Island Africa -- The Fate of the Native Fauna (Fig. 10.2) -- The Island Africa: an Underpopulated Biotic Province? -- Colonization of Island Africa by Newcomers (Figs. 10.4, 10.5) -- Africa as a Secondary Cradle -- The End of Isolation of Africa -- Conclusions -- Acknowledgements -- References -- 11 Contrasting Biomarker Signatures of Cretaceous and Early Paleogene Coal-Bearing Sediments During the Northward Flight of India -- Abstract -- Introduction -- Material and Methods -- Sampling -- Analytical Method -- Results -- Terpenoid Composition of Early Cretaceous Sediments -- Aliphatic Fraction -- Aromatic Fraction -- Terpenoid Composition of Eocene Sediments -- Aliphatic Fraction -- Aromatic Fraction -- Discussion -- Inferences from Early Cretaceous Terpenoids -- Inferences from Eocene Terpenoids -- Implications for Early Cretaceous and Eocene Vegetation of India -- Conclusions -- Acknowledgements -- References -- 12 New Specimens of Frugivastodon (Mammalia: Apatotheria) from the Early Eocene of India Confirm Its Apatemyid Status and Elucidate Dispersal of Apatemyidae -- Abstract -- Introduction -- Material and Methods -- Abbreviations -- Institutional Abbreviations -- Measurements -- Systematic Paleontology -- Phylogenetic Analysis -- Objectives and Methodology -- Results -- Discussion -- Discussion -- Relationships of Frugivastodon -- Geographic Origin of Frugivastodon and the Dispersal of Apatemyids -- Conclusions -- Acknowledgements -- References. , 13 Size Variation Amongst the Non-volant Mammals from the Early Eocene Cambay Shale Deposits of Western India: Paleobiogeographic implications -- Abstract -- Introduction -- Methodology -- Timing of India-Eurasia Collision -- A Brief Historical Background of Biogeographically Important Vertebrate Fossil Record (Including Mammals) from the Cretaceous-Paleogene (K-Pg) Interval of India -- Age of the Cambay Shale Mammals -- Size Variation Amongst the Non-volant Mammalian Groups Known from the Cambay Shale -- Evolutionary Relationship(s) of the Large-Sized Component (Perissodactyls) from the Cambay Shale -- Discussion -- Caveats -- Acknowledgements -- Appendix -- References -- 14 Indohyus, Endemic Radiation of Raoellid Artiodactyls in the Eocene of India and Pakistan -- Abstract -- Introduction -- Materials and Methods -- Acronyms -- Systematic Paleontology -- Discussion -- References -- 15 The Murine Cradle -- Abstract -- Introduction -- Previous Work -- Materials and Methods -- Systematics -- Great Morphological Variation of Early Murines -- Early Murine Evolution in the Semi-isolated Cradle of the Indian Subcontinent -- Interpretation -- Acknowledgments -- References -- 16 New Data on the Siwalik Murines, Rhizomyines and Ctenodactylines (Rodentia) from the Indian Subcontinent -- Abstract -- Introduction -- Previous Work -- Muridae -- Spalacidae -- Ctenodactylidae -- Material and Methods -- Systematics -- Phylogenetic Analyses -- Characters -- Spalacids -- Characters -- Paleobiogeography -- Conclusions -- Acknowledgements -- References -- 17 Dispersal of Miocene Hominoids (and Pliopithecoids) from Africa to Eurasia in Light of Changing Tectonics and Climate -- Abstract -- Introduction -- Hominoid Systematics -- The First Eurasian Apes: Early Catarrhine Dispersals Out of Africa in the Miocene. , How Many Transcontinental Ape Dispersal Events Occurred and Between Which Continents? Biogeographic Links to Phylogeny, Tectonics, and Climate.

Anmerkung: Intro -- Preface -- Contents -- Contributors -- Members of Review Board -- The Nature of Nature: Why Nature-Inspired Algorithms Work -- 1 Introduction: How Nature Works -- 2 The Nature of Nature -- 2.1 Fitness Landscape -- 2.2 Graphs and Phase Changes -- 3 Nature-Inspired Algorithms -- 3.1 Genetic Algorithm -- 3.2 Ant Colony Optimization -- 3.3 Simulated Annealing -- 3.4 Convergence -- 4 Dual-Phase Evolution -- 4.1 Theory -- 4.2 GA -- 4.3 Ant Colony Optimization -- 4.4 Simulated Annealing -- 5 Evolutionary Dynamics -- 5.1 Markov Chain Models -- 5.2 The Replicator Equation -- 6 Generalized Local Search Machines -- 6.1 The Model -- 6.2 SA -- 6.3 GA -- 6.4 ACO -- 6.5 Discussion -- 7 Conclusion -- References -- Multimodal Function Optimization Using an Improved Bat Algorithm in Noise-Free and Noisy Environments -- 1 Introduction -- 2 Improved Bat Algorithm -- 3 IBA for Multimodal Problems -- 3.1 Parameter Settings -- 3.2 Test Functions -- 3.3 Numerical Results -- 4 Performance Comparison of IBA with Other Algorithms -- 5 IBA Performance in AWGN -- 5.1 Numerical Results -- 6 Conclusions -- References -- Multi-objective Ant Colony Optimisation in Wireless Sensor Networks -- 1 Introduction -- 2 Multi-objective Combinatorial Optimisation Problems -- 2.1 Combinatorial Optimisation Problems -- 2.2 Multi-objective Combinatorial Optimisation Problems -- 2.3 Pareto Optimality -- 2.4 Decision-Making -- 2.5 Solving Combinatorial Optimisation Problems -- 3 Multi-objective Ant Colony Optimisation -- 3.1 Origins -- 3.2 Multi-objective Ant Colony Optimisation -- 4 Applications of MOACO Algorithms in WSNs -- 5 Conclusion -- References -- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence -- 1 Introduction -- 2 Artificial Sports Trainer -- 3 Generating the Training Plans -- 3.1 Preprocessing -- 3.2 Optimization Process. , 4 Experiments -- 5 Conclusion with Future Ideas -- References -- Limiting Distribution and Mixing Time for Genetic Algorithms -- 1 Introduction -- 2 Preliminaries -- 2.1 Random Search and Markov Chains -- 2.2 Boltzmann Distribution and Simulated Annealing -- 3 Expected Hitting Time as a Means of Comparison -- 3.1 ``No Free Lunch'' Considerations -- 4 The Holland Genetic Algorithm -- 5 A Simple Genetic Algorithm -- 6 Shuffle-Bit GA -- 6.1 Results -- 6.2 Estimate of Expected Hitting Time -- 7 Discussion and Future Work -- References -- Permutation Problems, Genetic Algorithms, and Dynamic Representations -- 1 Introduction -- 2 Problem Descriptions -- 2.1 Bin Packing Problem -- 2.2 Graph Colouring Problem -- 2.3 Travelling Salesman Problem -- 3 Previous Work on Small Travelling Salesman Problem Instances -- 4 Algorithms -- 4.1 2-Opt -- 4.2 Lin--Kernighan -- 4.3 Genetic Algorithm Variations -- 4.4 Representation -- 5 Experimental Design -- 5.1 Bin Packing Problem -- 5.2 Graph Colouring Problem -- 5.3 Travelling Salesman Problem -- 6 Results and Discussion -- 6.1 Bin Packing Problem -- 6.2 Graph Colouring Problem -- 6.3 Travelling Salesman Problem -- 7 Conclusions -- References -- Hybridization of the Flower Pollination Algorithm---A Case Study in the Problem of Generating Healthy Nutritional Meals for Older Adults -- 1 Introduction -- 2 Background -- 2.1 Optimization Problems -- 2.2 Meta-Heuristic Algorithms -- 3 Literature Review -- 4 Problem Definition -- 4.1 Search Space and Solution Representation -- 4.2 Fitness Function -- 4.3 Constraints -- 5 Hybridizing the Flower Pollination Algorithm for Generating Personalized Menu Recommendations -- 5.1 Hybrid Flower Pollination-Based Model -- 5.2 Flower Pollination-Based Algorithms for Generating Personalized Menu Recommendations. , 5.3 The Iterative Stage of the Hybrid Flower Pollination-Based Algorithm for Generating Healthy Menu Recommendations -- 6 Performance Evaluation -- 6.1 Experimental Prototype -- 6.2 Test Scenarios -- 6.3 Setting the Optimal Values of the Algorithms' Adjustable Parameters -- 6.4 Comparison Between the Classical and Hybrid Flower Pollination-Based Algorithms -- 7 Conclusions -- References -- Nature-inspired Algorithm-based Optimization for Beamforming of Linear Antenna Array System -- 1 Introduction -- 2 Problem Formulation -- 3 Flower Pollination Algorithm [55] -- 3.1 Global Pollination: -- 3.2 Local Pollination: -- 3.3 Pseudo-code for FPA: -- 4 Simulation Results -- 4.1 Optimization of Hyper-Beam by Using FPA -- 4.2 Comparisons of Accuracies Based on t test -- 5 Convergence Characteristics of Different Algorithms -- 6 Conclusion -- 7 Future Research Topics -- References -- Multi-Agent Optimization of Resource-Constrained Project Scheduling Problem Using Nature-Inspired Computing -- 1 Introduction -- 1.1 Multi-agent System -- 1.2 Scheduling -- 1.3 Nature-Inspired Computing -- 2 Resource-Constrained Project Scheduling Problem -- 3 Various Nature-Inspired Computation Techniques for RCPSP -- 3.1 Particle Swarm Optimization (PSO) -- 3.2 Particle Swarm Optimization (PSO) for RCPSP -- 3.3 Ant Colony Optimization (ACO) -- 3.4 Ant Colony Optimization (ACO) for RCPSP -- 3.5 Shuffled Frog-Leaping Algorithm (SFLA) -- 3.6 Shuffled Frog-Leaping Algorithm (SFLA) for RCPSP -- 3.7 Multi-objective Invasive Weed Optimization -- 3.8 Multi-objective Invasive Weed Optimization for MRCPSP -- 3.9 Discrete Flower Pollination -- 3.10 Discrete Flower Pollination for RCPSP -- 3.11 Discrete Cuckoo Search -- 3.12 Discrete Cuckoo Search for RCPSP -- 3.13 Multi-agent Optimization Algorithm (MAOA) -- 4 Proposed Approach -- 4.1 RCPSP for Retail Industry. , 4.2 Cooperative Hunting Behaviour of Lion Pride -- 5 A Lion Pride-Inspired Multi-Agent System-Based Approach for RCPSP -- 6 Conclusion -- References -- Application of Learning Classifier Systems to Gene Expression Analysis in Synthetic Biology -- 1 Introduction -- 2 Learning Classifier Systems: Creating Rules that Describe Systems -- 2.1 Basic Components -- 2.2 Michigan- and Pittsburgh-style LCS -- 3 Examples of LCS -- 3.1 Minimal Classifier Systems -- 3.2 Zeroth-level Classifier Systems -- 3.3 Extended Classifier Systems -- 4 Synthetic Biology: Designing Biological Systems -- 4.1 The Synthetic Biology Design Cycle -- 4.2 Basic Biological Parts -- 4.3 DNA Construction -- 4.4 Future Applications -- 5 Gene Expression Analysis with LCS -- 6 Optimization of Artificial Operon Structure -- 7 Optimization of Artificial Operon Construction by Machine Learning -- 7.1 Introduction -- 7.2 Artificial Operon Model -- 7.3 Experimental Framework -- 7.4 Results -- 7.5 Conclusion -- 8 Summary -- References -- Ant Colony Optimization for Semantic Searching of Distributed Dynamic Multiclass Resources -- 1 Introduction -- 2 P2p Search Strategies -- 3 Nature-Inspired Ant Colony Optimization -- 4 Nature-Inspired Strategies in Dynamic Networks -- 4.1 Network Dynamism Inefficiency -- 4.2 Solution Framework -- 4.3 Experimental Evaluation -- 5 Nature-Inspired Strategies of Semantic Nature -- 5.1 Semantic Query Inefficiency -- 5.2 Solution Framework -- 5.3 Experimental Evaluation -- 6 Conclusions and Future Developments -- References -- Adaptive Virtual Topology Control Based on Attractor Selection -- 1 Introduction -- 2 Related Work -- 3 Attractor Selection -- 3.1 Concept of Attractor Selection -- 3.2 Cell Model -- 3.3 Mathematical Model of Attractor Selection -- 4 Virtual Topology Control Based on Attractor Selection -- 4.1 Virtual Topology Control. , 4.2 Overview of Virtual Topology Control Based on Attractor Selection -- 4.3 Dynamics of Virtual Topology Control -- 4.4 Attractor Structure -- 4.5 Dynamic Reconfiguration of Attractor Structure -- 5 Performance Evaluation -- 5.1 Simulation Conditions -- 5.2 Dynamics of Virtual Topology Control Based on Attractor Selection -- 5.3 Adaptability to Node Failures -- 5.4 Effects of Noise Strength -- 5.5 Effects of Activity -- 5.6 Effects of Reconfiguration Methods of Attractor Structure -- 6 Conclusion -- References -- CBO-Based TDR Approach for Wiring Network Diagnosis -- 1 Introduction -- 2 The Proposed TDR-CBO-Based Approach -- 2.1 Problem Formulation -- 2.2 The Forward Model -- 2.3 Colliding Bodies Optimization (CBO) -- 3 Applications and Results -- 3.1 The Y-Shaped Wiring Network -- 3.2 The YY-shaped Wiring Network -- 4 Conclusion -- References -- Morphological Filters: An Inspiration from Natural Geometrical Erosion and Dilation -- 1 Natural Geometrical Inspired Operators -- 2 Mathematical Morphology -- 2.1 Morphological Filters -- 3 Morphological Operators and Set Theory -- 3.1 Sets and Corresponding Operators -- 3.2 Basic Properties for Morphological Operators -- 3.3 Set Dilation and Erosion -- 3.4 A Geometrical Interpretation of Dilation and Erosion Process -- 3.5 Direct Effect of Edges and Borders on the Erosion and Dilation -- 3.6 Closing and Opening -- 3.7 A Historical Review to Definitions and Notations -- 4 Practical Interpretation of Binary Opening and Closing -- 5 Morphological Operators in Grayscale Domain -- 5.1 Basic Morphological Operators in Multivalued Function Domain -- 5.2 Dilation and Erosion of Multivalued Functions -- 5.3 Two Forms of Presentation for Dilation and Erosion Formula -- 6 Opening and Closing of Multivalued Functions. , 7 Interpretation and Intuitive Understanding of Morphological Filters in Multivalued Function Domain.

Anmerkung: Intro -- 4th International Conference on Intelligent and Interactive Systems and Applications (IISA2019) -- Editorial -- Acknowledgements -- Contents -- Intelligent Systems -- Recognition of Voiceprint Using Deep Neural Network Combined with Support Vector Machine -- Abstract -- 1 Introduction -- 2 Methods -- 3 Voiceprint Recognition Based on DBN-SVM -- 3.1 Experimental Procedures and Processes -- 3.2 Corpus Description and MFCC Extraction -- 3.3 DBN Training and Deep Feature Extraction -- 3.4 Experimental Result and Analysis -- 4 Conclusion -- Acknowledgments -- References -- Research on Intelligent Patent Classification Scheme Based on Title Analysis -- Abstract -- 1 Introduction -- 2 Topic-Based Patent Classification Scheme -- 2.1 The Process of Topic-Based Patent Classification Scheme -- 2.2 Results and Discussion -- 3 Title Word-Frequency-Based Patent Classification Scheme -- 3.1 The Process of Title Word-Frequency-based Patent Classification Scheme -- 3.2 Results and Discussion -- 4 Conclusions -- References -- Study on Intelligent Recognition Matching and Fusion Interaction Technology of Electrical Equipment Model -- Abstract -- 1 Introduction -- 1.1 Background -- 1.2 Purpose and Significance -- 1.3 Overseas Research Levels -- 1.4 Domestic Research Levels -- 2 Solutions and Key Technologies -- 2.1 Power Equipment Model Identification -- 2.2 Panoramic Model and Background Real-Time Monitoring Data Fusion Interaction -- 2.3 Physical Device Model Overlay and Virtual Integration -- 2.4 Model Control Interaction -- 3 Conclusion -- Acknowledgments -- References -- Deep Knowledge Tracing Based on Bayesian Neural Network -- Abstract -- 1 Introduction -- 2 Related Works -- 3 BDKT -- 3.1 BDKT Input Data -- 3.2 BDKT Model Structure -- 3.3 BDKT Parameter Learning -- 4 Results and Discussion -- 4.1 BDKT Vs DKT. , 4.2 BDKT Parameter Randomness and Model Uncertainty -- 4.3 Relationship Between the Students' Behaviors -- 5 Conclusion -- Acknowledgment -- References -- Co-simulation of Sub-frame of the Intelligent Fire Truck Based on SolidWorks and ANSYS Workbench -- Abstract -- 1 Introduction -- 2 Main Technical Difficulties -- 2.1 The Connection Problem -- 2.2 Contact Settings -- 2.3 Meshing -- 3 Load Loading -- 4 Simulation Results -- 4.1 Static Simulation Without Impact Force -- 4.2 Static Simulation with Impact Force -- 4.3 Modal Analysis of the Overall Structure -- 5 Conclusion -- Acknowledgments -- References -- Design of Framework on Intelligent Simulation and Test Platform for High Power Microwave Sources -- Abstract -- 1 Introduction -- 2 Requirement Analyses -- 2.1 User Requirements -- 2.2 Functional Requirements -- 2.3 Interface Requirements -- 3 Frame Design -- 3.1 Development Language Selection -- 3.2 Design Model -- 3.3 Design Method -- 3.4 Computing Model -- 4 Technical Support -- Acknowledgments -- References -- Design of Intelligent Meter Life Cycle Management System Based on RFID -- Abstract -- 1 Introduction -- 2 Anti-collision Algorithm Processing of RFID Signal -- 3 Composition of the Life Cycle Management System -- 3.1 Cloud Platform Management System -- 3.2 RFID Intelligent Meter Storage System -- 3.3 RFID Smart Meter On-Site Data Copying System -- 4 Design of RFID Electronic Tag Antenna -- 5 Conclusion -- Acknowledgements -- References -- Design of Single-Phase Intelligent Meter Based on RFID Semi Active Technology -- Abstract -- 1 Introduction -- 2 Overall Design of Smart Meter -- 3 Hardware Design of Smart Meter -- 3.1 CPU Module -- 3.2 Metering Module -- 3.3 Communication Module -- 3.4 Clock and Storage Module -- 4 Software Design -- 4.1 Overall Structure of the Software -- 4.2 RFID Interface Design Based on Three-Tier Architecture. , 5 System Debugging -- 6 Conclusion -- Acknowledgements -- References -- Research on Anti-fall Algorithms of Substation Intelligent Inspection Robot -- Abstract -- 1 Introduction -- 2 Design of Inspection Platform -- 3 Ranging Principle of Binocular Camera -- 4 Application Principle of Anti-falling -- 5 Design and Analysis of Algorithms -- 6 Conclusion -- References -- Research and Application of Process Object Modeling Method Based on Deep Learning -- Abstract -- 1 Introduction -- 2 DNN Deep Learning Algorithms -- 3 Modeling of DNN Deep Learning Network -- 3.1 Open-Loop Modeling Method Based on Multiple Inertial Filters -- 3.2 Closed-Loop Modeling Method Based on Two DNN Models -- 4 Conclusion -- References -- Performance Assessment of Smart Electricity Meters Based on Max Margin Bayesian Classifiers -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Feature Selection Based on Genetic Algorithm -- 2.2 Learning Max-Margin Bayesian Classifiers Based on Bagging Ensemble -- 2.3 Selecting Max Margin Bayesian Classifiers Subset Based on Clustering Algorithm -- 3 Experimental Results and Analysis -- 4 Conclusions and Future Works -- References -- Operating Performance Assessment of Smart Meters Based on Bayesian Networks and Convex Evidence Theory -- Abstract -- 1 Introduction -- 2 The Proposed Methodology -- 2.1 Discretization -- 2.2 Training of Bayesian Networks from Historical Data of Smart Electricity Meters -- 2.3 Using the Convex Evidence Theory to Integrate the Assessment Results of Bayesian Networks -- 3 Experimental Results and Analysis -- 4 Conclusions and Future Works -- Acknowledgments -- References -- Research on Object-Oriented Design Defect Detection Method Based on Machine Learning -- Abstract -- 1 Introduction -- 1.1 Motivation -- 1.2 Related Work -- 2 Software Design Defects -- 2.1 Related Concepts -- 2.2 Related Definition. , 3 Design Defect Detection Method -- 3.1 Design Defect Detection -- 3.2 Feature Extraction -- 3.3 Design Defect Classifier Algorithms -- 3.4 Design Defect Detection Algorithms -- 4 Experiment and Evaluation -- 4.1 Experiment -- 4.2 Result Analysis -- Acknowledgments -- References -- Design of Electromagnetic Energy-Saving Intelligent Vehicle -- Abstract -- 1 Introduction -- 2 Principles of Operation -- 3 Test Results -- 4 Conclusion -- Acknowledgments -- References -- New Energy Vehicle Reliability Research by Large Data -- Abstract -- 1 Introduction -- 2 Reliability Analysis Theory -- 3 Acquisition of Automobile Fault Data -- 4 Calculation of Equivalent Fault Number Change Curve of Automobile in Different Mileage Ranges -- 4.1 Establishing the Curve of Vehicle Type Changing with the Number of Mileage Faults -- 4.2 Classification of Fault Hazard Degree -- 4.3 Calculation of Equivalent Fault Number Change Curve of Automobile in Different Mileage Ranges -- 5 Calculation of Reliability Evaluation Index of Vehicle Type -- 6 Establishment of Comprehensive Evaluation Model of Vehicle Type Reliability -- 7 Conclusion -- References -- One-Step Prediction for GM(1,1) with a Sliding Data Window -- Abstract -- 1 Introduction -- 2 The GM(1,1) Model -- 3 Introducing the Sliding Data Window to GM(1,1) -- 4 The Requirements of Data Samples for GM(1,1) -- 5 Experimental Results -- 6 Conclusions -- Acknowledgement -- References -- Evaluation on Well-Canal Combined Irrigation Modes for Cotton Fields in the South of Xinjiang, China Based on an Algorithm of Fuzzy Neutral Network -- Abstract -- 1 Background -- 2 Flow and Steps of the Algorithm -- 2.1 Flow of Algorithm for Fuzzy Neural Network -- 2.2 Steps of the Algorithm -- 3 Mathematical Principles of the Algorithm -- 3.1 Principles of Fuzzy Mathematics and FNN -- 3.2 Fuzzy Function and FNN -- 4 Empirical Analysis. , 4.1 Prediction Image of Training Data Based on FNN Algorithm -- 4.2 Results -- 5 Conclusions -- Acknowledgements -- References -- Grape Downy Mildew On-line Detection Based on Accurate Image Processing Method Preformed on Embedded Ambient Intelligence System -- Abstract -- 1 Introduction -- 2 Intelligent Image Processing -- 2.1 Holistic Methods Organization Chart -- 2.2 Image Processing -- 2.3 Decrease of Disturbance of Leaf Vein -- 3 System Design -- 4 GDM Diagnose, Grading and Preventive Measures -- 5 Conclusion -- Acknowledgments -- References -- An Improved Bisecting K-Means Text Clustering Method -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Data Processing -- 3.1 Corpus Acquisition -- 3.2 Data Extraction Using Word2Vec -- 3.3 Using TF-IDF to Select Feature Word Vector -- 4 The Improved Bisecting K-Means Text Clustering Method -- 4.1 Bisecting K-Means Clustering -- 4.2 Improved Bisecting K-Means Algorithm -- 5 Experimental Results Analysis -- 5.1 Experimental Process -- 5.2 Experimental Results -- 6 Conclusion -- Acknowledgements -- References -- PLC-Based Control System Design of Intelligent and Efficient Multiple Parking Device -- Abstract -- 1 Introduction -- 2 Structure and Principle of Intelligent and High Efficiency Multiple Parking Device -- 3 Design of Control System -- 4 Design of System Hardware -- 5 Design of System Software -- 5.1 The Initialization of System -- 5.2 The Procedure of Storage Car -- 5.3 The Rotation of Motor -- 6 Conclusion -- Acknowledgement -- References -- Sparse Acceleration Algorithm Based on Likelihood Upper Bound -- Abstract -- 1 Introduction -- 2 Acceleration Based on Likelihood Upper Bound Filtering -- 2.1 Sparse Expression Target Tracking -- 2.2 Observation Likelihood Upper Bound -- 2.3 Bounded Particle Resampling -- 3 Experimental Results and Analysis -- 3.1 Experimental Data and Algorithm Description. , 3.2 Evaluation Criteria.

Anmerkung: Intro -- Contents -- 1 Machine Vision Solutions in Automotive Industry -- Abstract -- 1…Introduction -- 2…Machine Vision -- 2.1 Basics of Machine Vision System -- 2.2 Camera, Lens and Illumination -- 2.2.1 Camera -- 2.2.2 Lens -- 2.2.3 Illumination -- 2.2.4 3-D Imaging System -- 2.3 Software -- 2.4 Interface to Production Environment -- 2.5 Interface to Management Information System -- 3…Applications -- 3.1 Application: Inspection of Spline Gear -- 3.2 Application: Inspection and Control of Flywheel Press System -- 4…Other Applications -- 5…Conclusions -- References -- 2 Kinect Quality Enhancement for Triangular Mesh Reconstruction with a Medical Image Application -- Abstract -- 1…Introduction -- 2…Methods -- 2.1 System Overview -- 2.2 A Background and the Characteristics of Microsoft Kinect -- 3…A Comprehensive Kinect Calibration Method -- 3.1 Calibration of RGB/Depth Camera -- 3.2 Calibration of Depth Sensor -- 3.3 Mapping Between RGB and Depth Image -- 4…The Tri-States Segmentation -- 5…Triangular Mesh Reconstruction -- 5.1 Average Filter -- 5.2 Marching Cubes Algorithm -- 5.3 Area Calculation -- 6…Experimental Result -- 7…Conclusion -- References -- 3 A Matlab GUI Package for Comparing Data Clustering Algorithms -- Abstract -- 1…Introduction -- 2…Clustering Algorithms -- 2.1 k-Means -- 2.2 Fuzzy c-Means -- 2.3 Hierarchical Clustering -- 2.4 Multiobjective Clustering with Support Vector Machine -- 3…Cluster Validity Index -- 3.1 Internal Validity Index -- 3.1.1 J Index -- 3.1.2 Davis-Bouldin Index -- 3.1.3 Dunn Index -- 3.1.4 Xie-Beni Index -- 3.1.5 I Index -- 3.1.6 Silhouette Index -- 3.2 External Validity Index -- 3.2.1 Minkowski Index -- 3.2.2 Adjusted Rand Index -- 3.2.3 Percentage of Correctly Classified Pairs -- 4…Demonstration of Cluster Package -- 4.1 Initial Window -- 4.2 k-Means Window -- 4.3 Fuzzy c-Means Window. , 4.4 Hierarchical Clustering Window -- 4.5 MocSvm Clustering -- 4.6 Report Table i.e. Result window -- 4.7 All Cluster Running Window -- 5…Conclusion -- References -- 4 Multi Objective Line Symmetry Based Evolutionary Clustering Approach -- Abstract -- 1…Introduction -- 2…Proposed Symmetry Based Distances -- 3…Multiple Randomized Kd Trees Based Nearest Neighbor Search -- 4…Multi Objective Line Symmetry Based Genetic Clustering Approach -- 4.1 Chromosome Representation -- 4.2 Fitness Computation -- 4.3 Genetic Operators -- 4.3.1 Selection -- 4.3.2 Crossover -- 4.3.3 Mutation -- 4.4 Termination Criterion -- 5…Data Sets and Experimental Results -- 5.1 Artificial Data Sets -- 5.2 Real Data Sets -- 6…Conclusion -- References -- 5 An Efficient Method for Contrast Enhancement of Digital Mammographic Images -- Abstract -- 1…Introduction -- 2…MIAS Database -- 3…Proposed Method -- 4…Simulation Results and Discussions -- 5…Conclusions -- References -- 6 Simulation of Obstacle Detection and Speed Control for Autonomous Robotic Vehicle -- Abstract -- 1…Introduction -- 2…Obstacle Detection and Avoidance -- 2.1 Image Processing Based Obstacle Detection -- 2.1.1 Stereo Vision -- 2.1.2 Monocular Vision -- 2.2 Proposed Method for Obstacle Avoidance -- 2.3 Digital Image Processing -- 2.3.1 Basic Relationships Between Pixels -- 2.3.2 Neighbours of a Pixel -- 2.3.3 Connectivity Between Pixels -- 2.3.4 Adjacency Between Pixels -- 2.3.5 Region -- 2.4 Algorithm for Obstacle Detection -- 2.4.1 Thresholding and Region Growing based Image Segmentation -- 3…Pid Controller Based Speed Control of PMDC Motor -- 3.1 PID Controller Overview -- 3.1.1 Proportional -- 3.1.2 Integral -- 3.1.3 Differential (Derivative) -- 3.2 Motor Parameters -- 3.3 Experimental Calculation of Motor Parameters -- 3.3.1 Electric Resistance and Inductance of Armature -- 3.3.2 Electromotive Force Constant. , 3.3.3 Moment of Inertia -- 3.3.4 Damping Ratio of the Mechanical System -- 3.4 PMDC Motor Equations -- 3.5 Tuning of Discrete PID Controller -- 3.5.1 Simulation Result -- 3.5.2 Computed Parameters -- 4…Matlab Simulink Based Image Processing for Obstacle Detection -- 4.1 MATLAB Simulink Model -- 4.1.1 RGB to Gray-Scale Conversion -- 4.1.2 Thresholding -- 4.2 Simulation Results -- 5…Results -- 5.1 PID Controller Module -- 5.2 Video Processing Module -- 6…Conclusion -- References -- 7 A Review of Global Path Planning Algorithms for Planar Navigation of Autonomous Underwater Robots -- Abstract -- 1…Introduction -- 2…Global Path Planning Algorithms -- 2.1 Breadth First Search (BFS) Algorithm -- 2.2 Depth First Search (DFS) Algorithm -- 2.3 A* Algorithm -- 2.4 Dijkstra's Algorithm -- 2.5 Wall Following Algorithm -- 3…Results and Discussion -- 3.1 Path Planning Through Randomly Located Obstacles -- 3.2 Maze Solving: A Comparison -- 3.3 Maze Solving by Wall Following Algorithm -- 3.4 Breadth First Search (BFS) and Depth First Search (DFS): A Comparison -- 4…Conclusions and Future Work -- Acknowledgments -- References -- 8 Pseudo-Fractional Tap-Length Learning Based Applied Soft Computing for Structure Adaptation of LMS in High Noise Environment -- Abstract -- 1…Introduction -- 2…Problem Formulation -- 3…Existing Algorithms for Dynamic Tap-Length Selection -- 3.1 The Fractional Variable Tap-Length Learning Algorithm -- 4…The VT-VSLMS Algorithm -- 5…Dynamic Tap-Length Optimization -- 6…Proposed Pseudo-Fractional Tap-Length Optimization -- 7…Simulation Setup -- 8…Results and Discussion -- 9…Conclusion -- References -- 9 Medical Image Analysis Using Soft Computing Techniques -- Abstract -- 1…Introduction -- 2…Image Database -- 3…Methodology -- 3.1 Algorithms for Brain Image Segmentation -- 3.2 Algorithms for Retinal Image Classification. , 4…Experimental Results and Discussions -- 4.1 Result Analysis of Brain Image Segmentation -- 4.2 Result Analysis of Retinal Image Classification -- 5…Conclusion -- Acknowledgments -- References -- 10 Selection of Robotic Grippers Under MCDM Environment: An Optimized Trade Off Technique -- Abstract -- 1…Introduction -- 2…Literature Survey -- 3…Problem Formulation -- 4…MCDM Methodologies -- 4.1 Analytic Hierarchy Process -- 4.2 TOPSIS -- 4.3 VIKOR -- 5…Solution Using AHP -- 6…Solution Using TOPSIS Methodology -- 7…Solution Using VIKOR Methodology -- 8…Conclusion -- References -- 11 Numerical Study of Viscous Flow in the Hydraulic System of Electro Optical Tracking System -- Abstract -- 1…Introduction -- 1.1 Description of the Hydraulic Systems -- 1.1.1 Oil Reservoir -- 1.1.2 Gear Pump -- 1.1.3 Manifold Block -- 1.1.4 Valves -- 1.1.5 Hydraulic Rotary Actuators -- 1.1.6 Electrical Panel -- 1.2 Selection of Fluid -- 2…Problem Formulation -- 2.1 Mathematical Modeling of Flow -- 2.2 Finite Difference Method for Solving the EOTS Pipeline Axial Flow -- 2.3 Problem Solving -- 3…Numerical Results and Analysis -- 3.1 Axial Velocity Distribution of EOTS Pipeline Axial Flow Field -- 3.2 Relationship Curve Between Axial Velocity and Cross Sectional Length of EOTS Pipeline Flow -- 3.3 Relationship Curve Between Wall Shear Stress and Cross Sectional Width and Height -- 3.4 Computation of f Re -- 4…Conclusion -- Acknowledgments -- A.x(118). Appendix: A -- A.x(118). Appendix: B -- References -- 12 Comparison of Edge Detection Algorithm for Part Identification in a Vision Guided Robotic Assembly System -- Abstract -- 1…Introduction -- 2…Related Work -- 3…System Structure -- 4…Edge Detection -- 4.1 Sobel Operator -- 4.2 Robert's Cross Operator -- 4.3 Prewitt's Operator -- 4.4 Laplacian of Gaussian Operator -- 4.5 Canny's Edge Detection Algorithm. , 5…Region Growing Algorithm -- 6…Shape Descriptor -- 7…Results and Discussion -- 7.1 Result of Canny's Operator -- 7.2 Result of LOG Operator -- 7.3 Result of Prewitt Operator -- 7.4 Result of Sobel Operator -- 7.5 Result of Roberts Operator -- 7.6 Comparision of Results -- 8…Conclusions -- References.

Anmerkung: Intro -- Committee Members -- Preface -- Contents -- About the Editors -- IOT, Big Data and Cloud Computing -- Big Data: A Boon to Fight Against Cancer Using Map Reduce Framework -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 3.1 MapReduce Architecture -- 4 Conclusion -- References -- Security Attacks and Its Countermeasures in RPL -- 1 Introduction -- 2 Related Work -- 3 About RPL -- 3.1 Control Messages in RPL -- 3.2 Traffic and Modes of Operation in RPL -- 4 Attacks in RPL -- 4.1 Attacks Against Resources -- 4.2 Attacks Against Topology -- 4.3 Attacks Against Traffic -- 5 Analysis -- 6 Conclusion and Future Scope -- References -- An Optimal Policy with Parabolic Demand Carry Forwarded with Three-Parameter Weibull Distribution Deterioration Rate, Scarcity and Salvage Value -- 1 Introduction -- 2 Model Formulation -- 2.1 Assumptions -- 2.2 Notations -- 2.3 Mathematical Formulation -- 3 Numerical Examples -- 3.1 Sensitivity Analysis -- 4 Conclusion -- References -- Information Actions Use for System Activity: Action Modeling Schemas -- 1 Introduction -- 2 The Need in Information Actions Use for System Activity -- 3 Action Modeling Schemas for the Theory of Information Actions Use for System Activity -- 4 Conclusion -- References -- High Security Object Integrity and Manipulation of Conceal Information by Hiding Partition Technique -- 1 Introduction -- 2 Requirements of Hiding Information Digitally -- 3 Digital Image Forensic Techniques for Feature Extraction -- 4 Spatial Transform Techniques -- 5 Conclusion -- References -- Performance Evaluation of FSO Under Different Atmospheric Conditions -- 1 Introduction -- 2 Simulation Setup -- 2.1 Simulation Result and Analysis -- 3 Conclusion -- References -- Smart Communication -- Design and Performance Analysis of High Reliability QOS-Oriented Adaptive Routing Protocol for MANET. , 1 Introduction -- 2 MANET -- 2.1 MANETS Characteristics -- 2.2 Application Areas of MANETS -- 2.3 Link Stability -- 3 Literature Survey -- 4 QOS-Oriented Adaptive Routing Protocol for 'MANET' -- 4.1 Formulas -- 4.2 Algorithm -- 5 Results -- 6 Conclusion -- References -- Circular Patch Antenna with Perturbed Slots for Various Wireless Applications -- 1 Introduction -- 2 Parameters for the Proposed Design -- 3 Results of the Proposed Antenna -- 4 Conclusion -- References -- A Secure Handshaking AODV Routing Protocol (SHS-AODV) with Reinforcement Authentication in MANET -- 1 Introduction -- 2 Ad Hoc on Demand Distance Vector -- 2.1 Path Discovery -- 2.2 Reverse-Path Setup -- 2.3 Forward-Path Setup -- 2.4 Route Table Management -- 2.5 Path Maintenance -- 2.6 Local Connectivity Management -- 3 Literature Survey -- 4 SHS-AODV Routing Protocol -- 4.1 Key Generation -- 4.2 Elliptic Curve Cryptographic Algorithm (Ecc) -- 4.3 Algorithm -- 5 Results -- 5.1 Simulation Environment -- 5.2 Performance Metrics -- 6 Conclusion -- References -- AI-Powered Smart Routers -- 1 Introduction -- 2 Related Work -- 2.1 Ununified Routing (Loosely Coupled Mono-Cum-Multi-agent Evolution Strategies) -- 2.2 Unified Routing (Close-Coupled Single-Cum-Multi-agent Evolution Strategies) -- 3 AI-Powered Network Routing -- 3.1 Regenerative Control Paradigm -- 3.2 Unified and Ununified AI-Powered Networking -- 4 Brainy (SMART/Intelligent) Network -- 4.1 Unified and Ununified AI-Powered Networking -- 5 Simulation -- 6 AI-Powered and Brainy Hardware Routers -- 6.1 Framework Design Formulation -- 6.2 Simulation Results -- 7 Conclusion -- References -- Modified Sierpinski Gasket Monopole Fractal Antenna for Sub 6 GHz 5G Applications -- 1 Introduction -- 2 Evaluation of Antenna Design -- 3 Performance Analysis of Proposed Antenna -- 4 Performance Analysis of Proposed Antenna -- 5 Conclusion. , References -- Design of a Dual-Ring Resonator Antenna for WBAN Applications -- 1 Introduction -- 2 Implementation of Dual-Ring Resonator -- 3 Results -- 4 Conclusion -- References -- Performance Analysis of MIMO Antenna for Isolation Improvement -- 1 Introduction -- 2 Single Antenna Design Calculations -- 3 Design of MIMO Antenna -- 4 Analysis of the Space Diversity of MIMO Antenna -- 5 Analysis of Prototype Orthogonal MIMO -- 6 Conclusion -- References -- Low Power and High-Speed Full Adder with Complemented Logic and Complemented XOR Gate -- 1 Introduction -- 2 Review of Full Adders -- 2.1 Hybrid Full Adder [9] -- 3 Proposed Full Adder -- 3.1 Sum Output Generation Using XNOR Cell -- 3.2 Carry Output Using XNOR Cell -- 4 Delay Analysis -- 5 4-Bit Adder -- 6 Power Analysis -- 7 Conclusion -- References -- Determining the Number of Bit Encryption That Is Optimum for Image Steganography in 8 Bit Images -- 1 Introduction -- 2 Various Techniques of Image Steganography -- 2.1 LSB Method -- 2.2 Palette-Based Technique -- 2.3 Secure Cover Selection -- 3 Terms Used -- 4 Proposed Method -- 5 Result -- 6 Discussion -- 7 Conclusion -- References -- Design and Analysis of 2nd-Order Bandpass Filters Using SIW and Microstrip Patch Transitions with Stub Matching -- 1 Introduction -- 2 Design-1 -- 3 Design 2 -- 4 Results Analysis -- 5 Conclusions -- References -- Planar Split Ring Resonating Antenna Design -- 1 Introduction -- 2 Antenna Design -- 3 Simulation Results -- 4 Conclusion -- References -- Pentagonal Microstrip Patch Antenna with Circular Slot for 9 GHz Applications -- 1 Introduction -- 2 Design of Pentagonal Patch with Slot -- 3 Results of the Proposed Antenna -- 4 Conclusion -- References -- Simulation and Analysis of an Optical Communication System Implementing DCF with Various Pulse Generators -- 1 Introduction -- 2 Simulation and Design. , 3 Result and Discussion -- 4 Conclusion -- References -- Simulation and Analysis of an 8 Channel CWDM Optical Network Suitable for Smart City Applications -- 1 Introduction -- 1.1 Multiplexing -- 1.2 DWDM -- 1.3 CWDM -- 2 Simulation Setup -- 3 Result and Discussion -- 4 Conclusion -- References -- Design of Low-Power Dynamic Threshold MOSFET (DTMOS) Push-Pull Inverter -- 1 Introduction -- 2 Proposed Design and Analysis -- 3 Simulation Results -- 4 Conclusion -- References -- Epileptic Seizure Detection Using Deep Learning Architecture -- 1 Introduction -- 2 Literature Review -- 3 Method Initiation with Improved Techniques -- 3.1 Data Extraction -- 3.2 Data Classification -- 4 Proposed Model -- 5 Result and Discussion -- 6 Conclusion -- References -- Ultra High Rate Inter-Satellite Optical Wireless Transmission Using DP-QPSK -- 1 Introduction -- 2 Modulation Format and Inter-Satellite Link -- 3 Proposed Set up -- 4 Results and Discussion -- 5 Conclusion -- References -- Investigation on Reactive Power Compensation Using STATCOM -- 1 Introduction -- 2 Research Method -- 2.1 Block Description and Operational Strategy -- 2.2 Network Description and Simulation -- 3 Results and Discussion -- 4 Conclusion -- References -- Smart Energy Systems -- Optimization of Set-Point Deviation and Current Ripple of PMSM by CCS-MPC Method -- 1 Introduction -- 2 PMSM Model Description -- 3 Model Description of CCS-MPC Method -- 4 Results and Discussion -- 5 Conclusion -- References -- Comparative Study, Design and Performance Analysis of Grid-Connected Solar PV System of Two Different Places Using PV syst Software -- 1 Introduction -- 2 Grid-Tied PV System -- 3 Methodology -- 3.1 PV Syst Software -- 3.2 Case Study -- 4 Input Requirement -- 4.1 Location -- 4.2 Tilt Angle -- 4.3 Albedo -- 4.4 Module and Inverter Specification -- 4.5 Economics Analysis. , 5 Simulation and Result -- 6 Conclusion -- References -- Transparent Solar Cell: A Powerful Device of Upcoming Era -- 1 Introduction -- 2 Discussion -- 2.1 Working Principle of Transparent Solar Cells -- 2.2 Different Types of Transparent Solar Cell -- 3 Applications -- 4 Conclusion -- References -- Machine Learning Techniques and Applications -- An Adaptive Firefly Optimization Algorithm for Human Gait Recognition -- 1 Introduction -- 2 Framework of the Proposed Approach -- 2.1 Gait Template Extraction -- 2.2 Introduction to Standard Firefly Algorithm (FA) -- 2.3 Adaptive Firefly Algorithm for Feature Selection -- 2.4 Pseudo-Code of an Adaptive Firefly Algorithm for Feature Selection -- 2.5 Combination of PCA and LDA -- 3 Experimental Analysis -- 3.1 Parameter Setting -- 3.2 Performance Evaluation Metrics of Classification -- 3.3 Results and Discussion -- 4 Conclusion -- References -- Job Prediction Astrology for Using Classification Techniques in Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Set (HOROSCOPE) -- 3.2 Feature Extraction -- 4 Data Processing Techniques -- 4.1 Logistic Regression -- 4.2 Naïve Bayes Classification -- 4.3 DTNB -- 5 Experiments and Analysis -- 6 Conclusion -- References -- Developed Face and Fingerprint-Based Multimodal Biometrics System to Enhance the Accuracy by SVM -- 1 Introduction -- 1.1 Face Recognition -- 1.2 Fingerprint Recognition -- 1.3 Fusion -- 2 Literature Review -- 3 Methodology -- 3.1 Face -- 3.2 Finger -- 3.3 Principal Component Analysis -- 3.4 SVM Classifier -- 4 Result and Experiments -- 5 Conclusion -- References -- A Survey on Deep Learning Techniques for Anomaly Detection in Human Activity Recognition -- 1 Introduction -- 2 Deep Learning -- 3 Methods and Implementation -- 4 Discussions -- 5 Conclusion -- References. , Evaluation of Different Paradigms of Machine Learning Classification for Detection of Breast Carcinoma.

Anmerkung: Intro -- ICAIHC Committee -- Preface -- Acknowledgements -- Contents -- About the Editors -- 1 An Adaptive Fuzzy-Based Clustering Model for Healthcare Wireless Sensor Networks -- 1.1 Introduction -- 1.1.1 Resource Management in WSN -- 1.2 Related Work -- 1.3 Proposed Model -- 1.3.1 Fuzzy Sets and Neuro-fuzzy Logic Theory -- 1.4 Simulation and Results -- 1.5 Conclusion and Future Work -- References -- 2 Artificial Pancreas (AP) Based on the JAYA Optimized PI Controller (JAYA-PIC) -- 2.1 Introduction -- 2.2 Problem Statements Formulations -- 2.2.1 Clinical Information -- 2.2.2 Simulation Model -- 2.2.3 MID -- 2.2.4 Patient Output -- 2.3 Control Algorithms -- 2.3.1 Development of JAYA-PIC -- 2.4 Results -- 2.4.1 JAYA-PIC Action in Patient -- 2.4.2 Analysis of Control Actions -- 2.5 Conclusions -- References -- 3 Security Issues and Solutions for Reliable WBAN-Based e-Healthcare Systems: A Systematic Review -- 3.1 Introduction -- 3.2 Methodology -- 3.3 Secured WBAN Requirements -- 3.3.1 Security Paradigms for WBAN -- 3.3.2 Security Needs in WBAN -- 3.4 Security Solutions -- 3.5 Case Studies on WBAN Prototypes -- 3.6 Conclusion -- References -- 4 Brain Tumour Detection by Multilevel Thresholding Using Opposition Equilibrium Optimizer -- 4.1 Introduction -- 4.2 Multilevel Thresholding Based on Entropy -- 4.2.1 Multilevel Thresholding: A Mathematical Approach -- 4.2.2 Entropy Functions -- 4.3 Opposition Equilibrium Optimizer (OEO) -- 4.4 Proposed Brain Tumour Detection Method Using OEO-Based Multilevel Thresholding Approach -- 4.5 Results and Discussion -- 4.6 Conclusion -- References -- 5 RescuePlus -- 5.1 Introduction -- 5.2 Literature Review -- 5.3 Existing Solution -- 5.4 Proposed Solution -- 5.5 Result -- 5.6 Future Scope -- 5.7 Conclusion -- References -- 6 Skeletal Bone Age Determination Using Deep Learning -- 6.1 Introduction -- 6.2 Methodology. , 6.2.1 Data Set Selection -- 6.2.2 Data Pre-processing -- 6.3 Custom Model -- 6.3.1 Model Architecture -- 6.3.2 Approaches -- 6.4 Experiments -- 6.4.1 Loss Functions -- 6.4.2 Comparing with Pre-trained Models -- 6.5 Conclusion -- References -- 7 Chimp Optimization Algorithm-Based Feature Selection for Cardiac Image-Based Heart Disease Diagnosis -- 7.1 Introduction -- 7.2 Chimp Optimization Algorithm-Based Feature Selection for Heart Disease Diagnosis -- 7.2.1 Pre-processing -- 7.2.2 Feature Extraction -- 7.2.3 Feature Selection Using ChOA -- 7.2.4 Classification Using SVNN -- 7.3 Results and Discussion -- 7.4 Conclusion -- References -- 8 The Hospitality Industry's Impact on the COVID-19 Epidemic: A Case Study of Ukraine -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Research Methods -- 8.4 Results -- 8.4.1 State and Legal Measures -- 8.5 Conclusion -- References -- 9 Society in Front of a COVID-19 Pandemic: India Versus Ukraine -- 9.1 Introduction -- 9.1.1 Research Background -- 9.2 Research Methods and Materials -- 9.3 Results -- 9.3.1 The Speed of Virus Spreading -- 9.3.2 The Risk and Danger Rate Estimation -- 9.4 The Level of Trust in the National Healthcare System and the Satisfaction of Government's Response to COVID-19 Situation -- 9.5 The Emotions and General Psychological State of Respondents -- 9.6 Conclusions -- Notes -- References -- 10 Breast Cancer Detection Using Concatenated Deep Learning Model -- 10.1 Introduction -- 10.2 Proposed Methodology -- 10.2.1 Convolutional Neural Network -- 10.2.2 LSTM -- 10.3 Result Analysis -- 10.3.1 Dataset Description -- 10.4 Conclusion -- References -- 11 Recommendation of Pesticides Based on Automation Detection of Citrus Fruits and Leaves Diseases Using Deep Learning -- 11.1 Introduction -- 11.2 Related Work -- 11.3 Proposed Work -- 11.3.1 Image Acquisition and Preprocessing. , 11.3.2 Image Segmentation -- 11.3.3 Diseases Prediction -- 11.3.4 Experimental Results -- 11.3.5 Fertilizer Recommendation -- 11.4 Conclusion -- References -- 12 Comprehensive Information Retrieval Using Fine-Tuned Bert Model and Topic-Assisted Query Expansion -- 12.1 Introduction -- 12.2 Review of Literature -- 12.3 Comprehensive Information Retrieval -- 12.3.1 BERT Model -- 12.3.2 Topic Modelling Using Latent Dirichlet Allocation -- 12.3.3 The Proposed CIR Architecture -- 12.4 The Proposed Approach -- 12.5 Experimental Results -- 12.5.1 Dataset -- 12.5.2 Evaluation Metrics -- 12.5.3 Performance Evaluations -- 12.5.4 Performance Comparison -- 12.5.5 Discussions -- 12.6 Conclusion -- References -- 13 Diabetic Retinopathy Detection Using CNN Model -- 13.1 Introduction -- 13.2 Related Work -- 13.3 Dataset Used -- 13.3.1 Overview -- 13.3.2 Augmentation -- 13.4 Defining CNN Model -- 13.4.1 Summary of Model Architecture -- 13.4.2 Model Layers -- 13.4.3 Loss Function -- 13.5 Result -- 13.6 Conclusion -- References -- 14 Digi-CANE-An IoT Savior for Visually Sensitive -- 14.1 Introduction -- 14.2 Literature Survey -- 14.3 Objective -- 14.4 General Flowchart -- 14.5 The Sensory Architecture -- 14.5.1 Emergency Sensor (Gyroscope) -- 14.5.2 Cane Module -- 14.5.3 Ultrasonic Sensor -- 14.5.4 Buzzer -- 14.5.5 Arduino Uno -- 14.5.6 Working -- 14.6 Circuit Diagram -- 14.6.1 Hardware Details -- 14.6.2 Working of Ultrasonic Sensor (HC-SR04) -- 14.6.3 Software Requirement Arduino IDE -- 14.7 Conclusion and Future Scope -- References -- 15 Link Performance in Community Detection Using Social Network -- 15.1 Introduction -- 15.2 Literature Review -- 15.3 Methods -- 15.4 Metrics -- 15.5 Experimental Results -- 15.6 Discussion -- 15.7 Conclusion -- References -- 16 Analyze Ego-Centric Nodes in Social Network Using Machine Learning Technique -- 16.1 Introduction. , 16.2 Review of Literature -- 16.3 Materials and Method -- 16.4 Link Influence Strategies -- 16.5 Result and Discussion -- 16.6 Conclusion -- 16.7 Future Enhancement -- References -- 17 5G Revolution Transforming the Delivery in Healthcare -- 17.1 Introduction -- 17.2 Literature Review -- 17.3 Features of 5G Technology -- 17.4 Problems Posed by Current Healthcare Industry -- 17.4.1 Lack of Universal Access -- 17.4.2 Long-Term Chronic Care Burden -- 17.4.3 Aging Population -- 17.4.4 Resource Constraints and Healthcare Disparities -- 17.5 Areas in Healthcare that 5G Will Boost -- 17.5.1 Imaging -- 17.5.2 Diagnostics -- 17.5.3 Data Analytics and Treatment -- 17.6 New Realms that 5G Will Enable -- 17.7 Real-World Trials -- 17.8 Positive Impacts of 5G on Our Healthcare System -- 17.9 Recommendations -- 17.10 Conclusion and Future Works -- References -- 18 A Systematic Review of AI Privileges to Combat Widen Threat of Flavivirus -- 18.1 Significance of AI in Flavivirus Disease Eradication -- 18.1.1 AI in Healthcare -- 18.1.2 Flavivirus-A Detailed Synopsis -- 18.1.3 Flavivirus Characteristics -- 18.1.4 Flavivirus Lifecycle -- 18.1.5 Flavivirus Epidemiology -- 18.2 Detection and Estimation of Flavivirus Disease with Machine Learning Models -- 18.3 Conclusions and Future Direction -- References -- 19 Early Detection of Sepsis Using LSTM Neural Network with Electronic Health Record -- 19.1 First Section -- 19.2 Method -- 19.2.1 Sepsis Data Preprocessing -- 19.2.2 LSTM Model -- 19.3 Result and Discussion -- 19.4 Conclusion -- References -- 20 Detection of COVID-19 Infection from Clinical Findings Using Machine Learning Algorithm -- 20.1 Introduction -- 20.2 Related Works -- 20.3 Materials and Methods -- 20.3.1 Medical Dataset Used -- 20.3.2 Data Preprocessing -- 20.3.3 Feature Selection -- 20.3.4 Classification Algorithms. , 20.4 Performance Evaluation and Results -- 20.4.1 Evaluation Measures -- 20.4.2 Results -- 20.5 Conclusion -- References -- 21 Development of Real-Time Cloud Based Smart Remote Healthcare Monitoring System -- 21.1 Introduction -- 21.2 System Framework -- 21.3 System Modeling -- 21.4 Results and Discussion -- 21.5 Conclusion -- References -- 22 Performance Analysis of Hyperparameters of Convolutional Neural Networks for COVID-19 X-ray Image Classification -- 22.1 Introduction -- 22.2 CNN and Its Optimizers -- 22.3 Experimental Results -- 22.4 Conclusion -- References -- 23 Sequence Rule Mining for Insulin Dose Prediction Using Temporal Dataset -- 23.1 Introduction -- 23.2 Literature Review -- 23.3 Definitions -- 23.3.1 Sequential Rule Mining -- 23.3.2 Support and Confidence -- 23.3.3 Sequence Rule Mining Algorithms -- 23.4 Methodology -- 23.5 Experiment Work -- 23.5.1 Dataset Used -- 23.5.2 Result and Discussion -- 23.6 Conclusion -- 23.7 Future Scope -- References -- 24 Ensemble Deep Learning Approach with Attention Mechanism for COVID-19 Detection and Prediction -- 24.1 Introduction -- 24.2 Related Work -- 24.3 Proposed Model -- 24.4 Data sets, Experiments, and Results -- 24.5 Conclusion and Future Scope -- References -- 25 Semantic Segmentation of Cardiac Structures from USG Images Using Few-Shot Prototype Learner Guided Deep Networks -- 25.1 Introduction -- 25.2 Proposed Work -- 25.2.1 Prototype Learner -- 25.2.2 Segmentor -- 25.3 Experiments -- 25.3.1 Dataset Description and Measures Used -- 25.3.2 Parameters -- 25.3.3 Results and Analysis -- 25.4 Conclusion -- References -- 26 Quantification of Homa Effect on Air Quality in NCR, India: Pollution and Pandemic Challenges in Cities and Healthcare Remedies -- 26.1 Introduction -- 26.1.1 Air Quality Global Challenge in Twenty-First Century -- 26.1.2 How Yajna and Vedic Rituals May Curb Pollution. , 26.2 Literature Review.