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Note: Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Förderkennzeichen BMBF 50 OR 1103. - Engl. Berichtsbl. u.d.T.: LoCuSS: Completing a volume-limited sample of massive galaxy clusters with XMM-NEWTON and Subaru , Systemvoraussetzungen: Acrobat reader. , Zsfassung in dt. u. engl. Sprache

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Note: Intro -- Preface -- Contents -- Editors and Contributors -- Influencing User Intention of Plant-Based Sensing System Adoption in Public Vocational High Schools of Indonesia Using TAM -- 1 Introduction -- 2 Literature Review -- 2.1 The Plant-Based Sensing System Proposed -- 2.2 The Theory of Technology Acceptance Model -- 3 Methodology -- 4 Research Model and Hypothesis -- 4.1 External Variable of Model -- 4.2 Perceived Ease of Use, Perceived Usefulness, Attitude, and Behavioral Intention -- 5 Results -- 5.1 Reliability Analysis -- 5.2 Regression Analysis -- 6 Conclusion -- References -- An Empirical Study of Critical Success Factors for the Adoption of m-Government Services in Tanzania -- 1 Introduction -- 2 Literature Review and Hypothesis Development -- 2.1 m-Government Services in Tanzania -- 2.2 Mobile Services Acceptance Model (MSAM) -- 2.3 Hypotheses Development -- 3 Methodology -- 4 Findings -- 5 Discussion -- 6 Conclusion -- References -- Smart City Based on LoRaWAN: Coverage Study for Cusco Urban Area -- 1 Introduction -- 2 LoRaWAN Technology -- 3 Cusco Urban Area Coverage Simulation -- 4 Data Collection -- 5 Analysis of Experimental Measurements -- 5.1 Efficiency Analysis for SF12 -- 5.2 RSSI Analysis for SF12 -- 5.3 Efficiency and RSSI Analysis for SF7 -- 6 Conclusion -- References -- Digital Transformation in Education in Knowledge Society -- 1 Introduction -- 1.1 Basic Considerations -- 2 Materials and Methods -- 3 Results -- 4 Conclusion -- References -- Induction Motor Overload Recognition Based on Sound Analysis -- 1 Introduction -- 2 Related Works -- 3 The Corpus -- 4 The Experiments -- 4.1 Frame-by-Frame Classification -- 4.2 One-Second Segment Classification -- 4.3 Half-a-Second Segment Classification -- 4.4 The Selected Classifier -- 5 Conclusions -- References. , Simulation of an All-Terrain Vehicle Driving Experience Using Virtual Reality -- 1 Introduction -- 2 Materials and Methods -- 2.1 Conception of the Virtual Experience -- 2.2 Learning Programming Tools -- 2.3 Virtual Environment Validation -- 2.4 Conception of the Immersive Environment -- 3 Results -- 4 Discussion -- 5 Conclusions and Recommendations -- References -- Safety-Centric and Smart Outdoor Workplace: A New Research Direction and Its Technical Challenges -- 1 Introduction -- 2 The Need of Dedicated Focus on Smart Outdoor Workplace -- 2.1 Smart Workplace -- 2.2 Smart Outdoor Workplace -- 2.3 Divergent Technology Streams -- 3 Technical Challenges -- 3.1 Diverse and Incompatible Sensors and Devices -- 3.2 Growing Gap Between Battery Technologies and Power Requirements -- 4 Research Prospects Driven by the Identified Challenges -- 4.1 Sandwich Approach to a Knowledge Architecture for Smart Outdoor Workplace -- 4.2 Model-Driven Simulation and Optimization of Energy Consumption in Smart Outdoor Workplace -- 5 Conclusions and Future Work -- References -- Devising Auxiliary Glyph Schemas Combined with XOR Filters for Improvised Font Delivery and Reliable Dynamic Font Augmentation -- 1 Introduction -- 2 Background and Related Work -- 3 Methodology and Algorithm -- 3.1 Basic Font Subsetting Solution and Problems -- 3.2 Client Side: Proposed Data Structures -- 3.3 Font Subsetting and Augmentation Workflows Using Proposed Solution -- 3.4 Flow for an Application Session with the Proposed Solution -- 3.5 XOR Filter Processing for Subset or Font Portion Serving on Server Side -- 4 Conclusion -- References -- Multiple Sequence Alignment Algorithms in Bioinformatics -- 1 Introduction -- 2 Multiple Sequence Alignment (MSA) -- 3 Multiple Sequence Alignment Algorithms (MSA) -- 3.1 ClustalW -- 3.2 Clustal Omega -- 3.3 T-Coffee -- 3.4 MAFFT -- 3.5 Kalign. , 3.6 MUSCLE -- 3.7 Probcons -- 3.8 Genetic Algorithms -- 4 Evaluation of MSA -- 5 Conclusion -- References -- Design and Implementation of a Machine Learning-Based Technique to Detect Unipolar and Bipolar Depression Using Motor Activity Data -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Underwater Magnetic Release System -- 1 Overview -- 2 System Components -- 2.1 The Software -- 3 Power Considerations -- 4 Design Specifics -- 5 Conclusion -- References -- An Optimal Route for People with Ambulant Disabilities Using Mathematical Risk Modeling and Analytic Hierarchy Process -- 1 Introduction -- 2 Methods -- 2.1 Factors Affecting the Selection of Best Route -- 2.2 Mathematical Risk Modeling -- 2.3 AHP Technique -- 3 Results and Discussion -- 4 Conclusion -- References -- The Innovation in Manufacturing Areas of Electronics Industry of Mexicali Using PLC -- 1 Introduction -- 2 Technological Innovation -- 3 Technology Development -- 4 Improving Competitiveness -- 5 Software Quality in the Electronics Industry -- 6 Limitations of the Investigation -- 7 Methodology -- 8 Results -- 9 PLC Analysis -- 10 Correlation Analysis of Industrial Parameters -- 11 Conclusions -- References -- Assistive Autonomous Electric Vehicle for Disaster Management -- 1 Introduction -- 2 Mechanical System Design -- 2.1 Overview -- 2.2 Frame Design -- 2.3 Assembly for the Wheels -- 2.4 Sensors Stand -- 2.5 Body Housing -- 3 Electronics System Design -- 3.1 Brief Overview -- 3.2 Electronic Suite Description -- 4 Working of the Circuit -- 5 Software and Control System -- 5.1 Brief Overview -- 5.2 Main Software Pipeline -- 5.3 Lane Detection and Path Mapping -- 5.4 Object Discovery Pipeline -- 5.5 Arduino Communication -- 5.6 Motor Driving -- 6 Advantage and Applications -- 6.1 Advantages -- 6.2 Applications. , 7 Conclusion -- References -- On the Existing and New Potential Methods for Partial Discharge Source Monitoring in Electrical Power Grids -- 1 Introduction -- 2 Theoretical Aspects -- 2.1 Spectrogram -- 2.2 Wavelet Transform -- 2.3 Compressive Sensing -- 2.4 Phase-Diagram-Based Analysis -- 3 Experimental Configuration and Results -- 4 Conclusions -- References -- Efficient Approach for Block-Based Copy-Move Forgery Detection -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Experimental Results -- 5 Discussion and Conclusion -- References -- Smart IoT Sensor Network for Monitoring of Cultural Heritage Monuments -- 1 Introduction -- 2 Sensor Design -- 3 Visualization Platform -- 4 Conclusions -- References -- MorArch: A Software Architecture for Interoperability to Improve the Communication in the Edge Layer of a Smart IoT Ecosystem -- 1 Introduction -- 2 Present Context and Previous Works -- 2.1 Interoperability Architectures -- 2.2 Interoperability Protocols -- 3 Proposal -- 4 Experiments -- 4.1 File System -- 4.2 Data Flow Inside Our Fog Ecosystem -- 4.3 Results -- 5 Conclusions -- References -- A Design of an IoT-Based Smart Home with Auto-sanitization System -- 1 Introduction -- 2 Literature Review -- 3 Methodology and Modeling -- 4 Working Procedure -- 4.1 Remote Access -- 4.2 Voice Command Access -- 5 Implementation of the Prototype -- 5.1 Software Implementation -- 5.2 Hardware Implementation -- 5.3 Visual Models of a Smart Home with Auto-sanitization -- 6 Future Developments, Scopes, and Social Impact -- 7 Results and Data Analysis -- 8 Conclusion -- References -- An Experiment Study on Federated Learning Testbed -- 1 A Novel PPML Framework: Federated Learning -- 2 Methodology and System Implementation -- 3 Results on Efficiency Test -- 3.1 Training Speed -- 3.2 Communication Cost -- 4 Privacy Analysis -- 5 Conclusion. , References -- Visual Quality Comparison of Ocean Wave Effects at Different Camera Distances -- 1 Introduction -- 2 Material and Method -- 2.1 Setting in Houdini -- 2.2 Setting in Unreal -- 2.3 Minor Conclusion -- 3 Result -- 4 Conclusion -- References -- Control System to International Parental Child Abduction, Case: Colombia -- 1 Introduction -- 2 Background -- 3 Design and Method for Colombia -- 4 Results -- 5 Analysis of the Results -- 6 Conclusions and Further Work -- References -- It is not Always Ethical: Data Manipulation to Justify Public Policy Choices in COVID-19 Response -- 1 Introduction -- 2 Background -- 3 Cases of COVID-19 Data Manipulation -- 4 Florida's COVID-19 Data Portal -- 5 Georgia's COVID-19 Data Portal -- 6 Arizona's COVID-19 Data Portal -- 7 Texas, Virginia, and Vermont's COVID-19 Data Portals -- 8 Implications of Data Manipulation -- 9 Conclusion -- References -- BPMN2EVENTB Supporting Transformation from BPMN2.0 to Event B Using Kermeta -- 1 Introduction -- 2 The Proposed Approach -- 3 Subset of Mapping Rules BPMN-Event B -- 4 Illustration -- 5 Conclusion and Future Work -- References -- Teaching Neuroscience Through Flipped Classroom: Systematizing an Experience with Students of the Professional Career of Elementary Education -- 1 Introduction -- 1.1 Contributions of Neuroscience to Education -- 1.2 Teaching Neuroscience Through Digital Resources -- 2 Methodology -- 2.1 Procedures -- 2.2 Participants -- 2.3 Measures -- 3 Results -- 3.1 Analysis of Means and Variation Coefficients -- 3.2 Exploratory Analysis with Boxplots -- 3.3 Analysis of Some Items -- 4 Discussion -- 5 Conclusions and Future Works -- References -- Low-Cost IoT Platform for Telemedicine Applications -- 1 Introduction -- 2 Related Works -- 3 Case of Study -- 4 Implementation of the Proposal -- 4.1 Wearable Device -- 4.2 Android TV App -- 4.3 Cloud Service. , 5 Discussion of Results.

Note: Intro -- Organizing Committee -- Preface -- Contents -- About the Editors -- 1 Comparison of Different Image Segmentation Techniques on MRI Image -- 1.1 Introduction -- 1.2 Methodology -- 1.2.1 Preprocessing -- 1.2.2 Segmentation Techniques -- 1.3 Results and Discussion -- 1.4 Conclusion -- References -- 2 PSO-ANN-Based Computer-Aided Diagnosis and Classification of Diabetes -- 2.1 Introduction -- 2.1.1 Literature Survey -- 2.2 Feature Selection Approaches -- 2.3 Particle Swarm Optimization (PSO) -- 2.4 Proposed Feature Selection Algorithm -- 2.5 Experimental Results -- 2.6 Conclusion -- References -- 3 Round Robin Scheduling Based on Remaining Time and Median (RRRT& -- M) for Cloud Computing -- 3.1 Introduction -- 3.2 Related Works -- 3.3 Scheduling Algorithms -- 3.4 Experimental Setup and Result Discussions -- 3.4.1 Experimental Setup -- 3.4.2 Performance Metrics -- 3.4.3 Result Discussions -- 3.5 Summary -- References -- 4 Business-Driven Blockchain-Mempool Model for Cooperative Optimization in Smart Grids -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Virtual Power Plant Dispatch Schedules -- 4.3.1 Cost Function Based Optimization -- 4.4 Blockchain -- 4.4.1 Consensus -- 4.5 Consensus and Cooperative Scheduling -- 4.6 Mempool Model -- 4.7 Evaluation and Future Work -- 4.8 Conclusion -- References -- 5 Research of Institutional Technology Diffusion Rules Based on Patent Citation Network-A Case Study of AI Field -- 5.1 Introduction -- 5.2 Data and Method -- 5.3 Results and Discussion -- 5.3.1 Comparative Analysis of Technical Force -- 5.3.2 Technology Diffusion Network and Visualization -- 5.3.3 Measurement of Technology Diffusion Capacity -- 5.4 Conclusion and Limitation -- References -- 6 Impact on the Information Security Management Due to the Use of Social Networks in a Public Organization in Ecuador -- 6.1 Introduction. , 6.2 Materials and Methods -- 6.2.1 Materials -- 6.2.2 Methods -- 6.3 Results -- 6.4 Discussion -- 6.5 Future Work and Conclusion -- References -- 7 Appropriate Security Protocols to Mitigate the Risks in Electronic Money Management -- 7.1 Introduction -- 7.2 Materials and Methods -- 7.2.1 Materials -- 7.2.2 Methods -- 7.3 Results -- 7.4 Discussion -- 7.5 Future Works and Conclusion -- 7.5.1 Future Works -- 7.5.2 Conclusions -- References -- 8 Acceptance and Readiness of Thai Farmers Toward Digital Technology -- 8.1 Introduction -- 8.2 Research Model -- 8.3 Method -- 8.3.1 Questionnaire Instrument -- 8.3.2 Data Analysis -- 8.4 Results -- 8.5 Conclusion -- References -- 9 Neural Network Classifier for Diagnosis of Diabetic Retinopathy -- 9.1 Introduction -- 9.2 Classification -- 9.3 Conclusion -- References -- 10 Comparative Analysis of Data Mining Classification Techniques for Prediction of Heart Disease Using the Weka and SPSS Modeler Tools -- 10.1 Introduction -- 10.2 Literature Review -- 10.2.1 Data Mining Classification Techniques -- 10.3 Experimental Analysis -- 10.3.1 Dataset -- 10.3.2 Result Analysis -- References -- 11 An Automated Framework to Uncover Malicious Traffic for University Campus Network -- 11.1 Introduction -- 11.2 Study Goals -- 11.3 Methodology -- 11.4 Experimental Setup -- 11.5 Observations and Analysis of Framework in Campus Network on Real-Time Basis -- 11.5.1 Dashboard Visualization for Analysis -- 11.6 Conclusion -- 11.7 Future Scope -- References -- 12 Comparative Analysis of K-Means Algorithm and Particle Swarm Optimization for Search Result Clustering -- 12.1 Introduction -- 12.2 Related Work -- 12.3 Experimental Result and Analysis -- 12.3.1 Dataset Details -- 12.3.2 Preprocessing -- 12.3.3 Performance Evaluation -- 12.4 Conclusion -- References. , 13 Design and Implementation of Rule-Based Hindi Stemmer for Hindi Information Retrieval -- 13.1 Introduction -- 13.2 Stemming Approaches -- 13.2.1 Affix Removal Approach -- 13.2.2 N-Gram -- 13.2.3 Suffix Stripping Approach -- 13.2.4 Suffix Substitution Approach -- 13.2.5 Brute-Force Approach -- 13.2.6 Hybrid Approach -- 13.3 Related Work -- 13.4 Proposed Methodology and Implementation -- 13.5 Analysis and Conclusion -- References -- 14 Research on the Development Trend of Ship Integrated Power System Based on Patent Analysis -- 14.1 Introduction -- 14.2 Data and Methods -- 14.3 Results and Discussion -- 14.3.1 Life Cycle Analysis of Patent Technology Development of Foreign Ship Integrated Power System -- 14.3.2 Analysis of Patent Technology Research and Development Direction of Foreign Ship Integrated Power System -- 14.4 Summary -- References -- 15 Detection of Data Anomalies in Fog Computing Architectures -- 15.1 Introduction -- 15.2 Fog Architecture Overview -- 15.3 Anomaly Detection -- 15.3.1 Anomalies -- 15.3.2 Preliminaries for Detection Algorithm -- 15.3.3 Detection Procedure -- 15.4 Computation Algorithm -- 15.5 Related Work -- 15.6 Conclusion -- References -- 16 Cloud Data for Marketing in Tourism Sector -- 16.1 Introduction -- 16.2 Consumer Behavioral Study for the Tourism Industry -- 16.3 Sources of Data -- 16.3.1 Methods of Sourcing Data from Internet -- 16.4 Model for Marketing Data Capture -- 16.4.1 Prediction Theories -- 16.4.2 Marketing -- 16.5 Results -- 16.6 Conclusion -- References -- 17 Road Travel Time Prediction Method Based on Random Forest Model -- 17.1 Introduction -- 17.2 The Principle of Random Forest Algorithm -- 17.3 The Principle of DBSCAN -- 17.4 The Prediction Model of RF-DBSCAN -- 17.4.1 Data Sources -- 17.4.2 Feature Selection -- 17.4.3 The Principle of RF-DBSCAN -- 17.4.4 Comparison of Experiment Results. , 17.5 Conclusions -- References -- 18 Video Synchronization and Alignment Using Motion Detection and Contour Filtering -- 18.1 Introduction -- 18.1.1 Overview -- 18.1.2 Problem Statement -- 18.1.3 Objectives -- 18.1.4 Existing System -- 18.1.5 Proposed System -- 18.2 Literature Survey -- 18.3 System Design -- 18.4 Dataflow of Video Change Detection -- 18.5 Class Diagrams -- 18.6 Experimental Results -- 18.7 Conclusion -- References -- 19 Mutichain Enabled EHR Management System and Predictive Analytics -- 19.1 Introduction -- 19.2 Related Work -- 19.2.1 Verifying the Authenticity of Returned Drugs by Tracking Supply of Authorized Drugs in Supply Chain -- 19.2.2 Transparency and Traceability of Consent in Clinical Trials -- 19.2.3 Incentivized Access to Medical Data -- 19.3 Problem Setting -- 19.4 Proposed Architecture -- 19.4.1 Multichain -- 19.4.2 Off-Chain Storage -- 19.4.3 Hashing -- 19.4.4 Data Analysis -- 19.4.5 Machine Learning -- 19.4.6 Workflow -- 19.5 Conclusion -- References -- 20 Quick Insight of Research Literature Using Topic Modeling -- 20.1 Introduction -- 20.2 Literature Survey -- 20.3 Methodology -- 20.3.1 Preprocessing-Natural Language Processing -- 20.3.2 Topic Modeling -- 20.3.3 Latent Dirichlet Allocation -- 20.4 System Development -- 20.5 Experimental Results -- 20.6 Conclusion -- References -- 21 Secure Cloud-Based E-Healthcare System Using Ciphertext-Policy Identity-Based Encryption (CP-IBE) -- 21.1 Introduction -- 21.1.1 An Overview -- 21.2 Related Work -- 21.3 Proposed Methodology -- 21.3.1 Developing an Efficient Data Storage Scheme -- 21.3.2 Developing a Ciphertext Database Scheme -- 21.4 Conclusion -- References -- 22 Security Vulnerabilities of OpenStack Cloud and Security Assessment Using Different Software Tools -- 22.1 Introduction -- 22.2 Software Architecture -- 22.2.1 Components of OpenStack. , 22.2.2 OpenStack Usage in Cloud Platform -- 22.3 Vulnerabilities in OpenStack -- 22.3.1 Known Vulnerabilities in OpenStack -- 22.3.2 Assessment for Security -- 22.3.3 Network Vulnerability Scanners -- 22.4 Conclusion -- References -- 23 Smart Physical Intruder Detection System for Highly Sensitive Area -- 23.1 Introduction -- 23.2 Literature Survey -- 23.3 Proposed Methodology -- 23.3.1 Working of PIR Motion Sensor -- 23.3.2 Face Recognition Using Viola-Jones Algorithm and KNN Algorithm -- 23.4 Conclusion and Future Scope -- References -- 24 Two-level Classification of Radar Targets Using Machine Learning -- 24.1 Introduction -- 24.2 Phased Array Radar -- 24.3 Design of Multilevel Classifier -- 24.3.1 Signal Level Classification: Level ``0'' -- 24.3.2 Classification Level 1 Using Raw Detection -- 24.3.3 Level 2 Classifier Using Track Data -- 24.4 Fusion of Information with Signal Level Classifier -- 24.5 Simulation and Results -- 24.5.1 Results for Level 1 Classification -- 24.5.2 Classification Level 2 Using Radar Track and Signal Data -- 24.6 Conclusion -- References -- 25 A Cognitive Semantic-Based Approach for Human Event Detection in Videos -- 25.1 Introduction -- 25.2 Methodology -- 25.2.1 Frame Generation -- 25.2.2 Fuzzy C-Mean Clustering (FCM) -- 25.2.3 Feature Extraction -- 25.2.4 CNN Classifier -- 25.3 Test Results and Discussions -- 25.4 Conclusions -- References -- 26 Analysis of Adequate Bandwidths to Guarantee an Electoral Process in Ecuador -- 26.1 Introduction -- 26.2 Materials and Methods -- 26.2.1 Materials -- 26.2.2 Methods -- 26.3 Results -- 26.4 Discussion -- 26.5 Work Futures and Conclusions -- References -- 27 Load and Renewable Energy Forecasting for System Modelling, an Effort in Reducing Renewable Energy Curtailment -- 27.1 Introduction -- 27.2 Literature Review -- 27.3 Proposed Work. , 27.3.1 Neural Network-Based Load Forecasting.

Note: Intro -- Conference Organization Commitees -- Preface -- Contents -- Editors and Contributors -- A Framework for Early Recognition of Alzheimer's Using Machine Learning Approaches -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Model Diagram -- 3.2 CatBoost Classifier -- 3.3 Model Evaluation -- 4 Environmental Setup -- 5 Results and Discussion -- 5.1 Accuracy -- 5.2 Precision -- 5.3 Recall -- 5.4 F1-Score -- 6 Conclusion and Future Direction -- References -- On the Studies and Analyzes of Facial Detection and Recognition Using Machine Learning Algorithms -- 1 Introduction -- 2 Related Study -- 3 Facial Detection and Recognition Methods -- 3.1 Machine Learning Approach -- 3.2 Deep Learning Approach -- 4 Implementation -- 4.1 Face Detection: Haar Cascade Detection Algorithm -- 4.2 Face Recognition: Local Binary Pattern Histogram (LBPH) Algorithm -- 4.3 Detection and Recognition by GoogLeNet -- 5 Results and Discussion -- 5.1 Haar Cascade Face Detection (Machine Learning Approach) -- 5.2 LBPH Face Recognition in Real Time (Machine Learning Approach) -- 5.3 GoogLeNet Image-Based Analysis (Deep Learning Approach) -- 6 Conclusion -- References -- IPL Analysis and Match Prediction -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Processing the Datasets -- 3.2 Match Analysis -- 3.3 Visualization -- 3.4 Match Prediction -- 3.5 User Interface Creation -- 4 Results and Discussion -- 5 Conclusion -- References -- Application of ANN Combined with Machine Learning for Early Recognition of Parkinson's Disease -- 1 Introduction -- 2 Literature Work -- 3 Methodology -- 4 Experimental Setup -- 5 Performance Analysis and Experimentation Results -- 6 Conclusion and Future Work -- References -- People Count from Surveillance Video Using Convolution Neural Net -- 1 Introduction -- 2 Literature Review -- 3 Dataset. , 4 Proposed Methodology -- 5 Results -- 6 Conclusion -- References -- Detection of Pneumonia and COVID-19 from Chest X-Ray Images Using Neural Networks and Deep Learning -- 1 Introduction -- 2 Related Work -- 3 CNN Architectures -- 4 Proposed CNN Model -- 5 Experimentation and Results -- 5.1 Dataset -- 5.2 Experiment Setup -- 5.3 Results -- 5.4 Performance Evaluation -- 6 Conclusion -- References -- Plant Leaf Disease Detection and Classification Using Deep Learning Technique -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System Architecture -- 3.1 Image Acquisition -- 3.2 Image Preprocessing -- 3.3 Feature Extraction Using CNN -- 3.4 Detect and Classify Disease -- 4 Result and Analysis -- 5 Conclusion -- References -- Breast Mass Classification Using Convolutional Neural Network -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 About Dataset -- 3.2 Architecture of CNN -- 4 Results and Discussion -- 5 Conclusions -- References -- Deep Generative Models Under GAN: Variants, Applications, and Privacy Issues -- 1 Introduction -- 2 Generative Adversarial Networks (GANs) -- 2.1 GAN Architecture -- 2.2 Objective Function -- 3 Existing Models and Applications -- 3.1 GAN Models -- 3.2 Applications -- 4 GANs in Privacy -- 4.1 Privacy in Data -- 4.2 Privacy in Model -- 5 Future Works -- 6 Conclusion -- References -- Fusion-Based Celebrity Profiling Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Evaluation Measure -- 3.3 Stylistic Features -- 3.4 Word Embedding -- 3.5 Method -- 4 Results and Discussion -- 5 Conclusion -- References -- DeepLeaf: Analysis of Plant Leaves Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Feature Extraction -- 3.2 CNN and VGG16 -- 4 Results and Discussion -- 4.1 Comparative Analysis with Respect to Accuracy -- 5 Conclusion. , References -- Potential Assessment of Wind Power Generation Using Machine Learning Algorithms for Southern Region of India -- 1 Introduction -- 2 Wind Power Technology -- 3 Methodology -- 3.1 Linear Regression -- 3.2 Support Vector Regression -- 3.3 K-Nearest Neighbour Algorithm -- 3.4 Decision Trees Regression -- 4 Performance Indices -- 4.1 Mean Absolute Error (MAE) -- 4.2 Mean Square Error (MSE) -- 4.3 Root Mean Square Error (RMSE) -- 4.4 R2 Score -- 5 Results and Discussions -- 6 Conclusions -- References -- OCR-LSTM: An Efficient Number Plate Detection System -- 1 Introduction -- 1.1 Tesseract -- 1.2 Opencv -- 1.3 Lstm -- 2 Literature Review -- 2.1 Problem Statement -- 2.2 Objective -- 3 System Model -- 3.1 Conversion of RGB Image to Gray Scale Image -- 3.2 Bilateral Filter -- 3.3 Lstm -- 4 Results and Discussion -- 5 Conclusions -- References -- Artificial Neural Network Alert Classifier for Construction Equipments Telematics (CET) -- 1 Introduction -- 2 Related Works -- 3 Problem Statement -- 4 System Model -- 4.1 Problem Formulation -- 5 Proposed Design and Methodology -- 6 Results and Discussion -- 6.1 Data Set -- 6.2 Results -- 7 Conclusions -- References -- Hybrid Approach of Modified IWD and Machine Learning Techniques for Android Malware Detection -- 1 Introduction -- 2 Related Works -- 3 Proposed Modified Version of IWD Algorithm -- 3.1 Step 1: The Static Parameters and Dynamic Parameters are Initialized -- 3.2 Step 2: Modified Edge Selection Process -- 3.3 Step 3: Updating Velocity and Soil Values -- 3.4 Step 4: Reinforcement and Termination Phase -- 4 Feature Selection Procedure Using Modified IWD -- 5 Dataset Prepossessing and Experimental Environment -- 5.1 Dataset and Preprocessing -- 5.2 Experimental Environment -- 6 Performance Evaluation Matrix -- 7 Result and Discussions -- 8 Conclusion and Future Work -- References. , Intuitionistic Fuzzy 9 Intersection Matrix for Obtaining the Relationship Between Indeterminate Objects -- 1 Introduction -- 2 Preliminary Concepts -- 2.1 Intuitionistic Fuzzy Set -- 2.2 Intuitionistic Fuzzy Topological Spaces -- 2.3 Related Studies -- 3 Intuitionistic Fuzzy 9 Intersection Matrix -- 4 Application of the Proposed Definitions -- 4.1 Importance of the Proposed Definition -- 4.2 Intuitionistic Fuzzy 9 Intersection Matrix -- 5 Conclusion and Future Work -- References -- A Hybrid Model of Latent Semantic Analysis with Graph-Based Text Summarization on Telugu Text -- 1 Introduction -- 2 Related Work -- 3 Latent Semantic Analysis -- 4 Text Rank Algorithm -- 5 Proposed Algorithm -- 6 Evaluation and Experimental Results -- 7 Conclusion -- References -- A Combined Approach of Steganography and Cryptography with Generative Adversarial Networks: Survey -- 1 Introduction -- 2 Background Works -- 3 Advanced Techniques -- 4 Fallouts and Discussion -- 5 Conclusion -- References -- Real-Time Accident Detection and Intimation System Using Deep Neural Networks -- 1 Introduction -- 2 Literature Review -- 3 Methods -- 4 Results and Discussion -- 5 Conclusion -- References -- Design of Cu-Doped SnO2 Thick-Film Gas Sensor for Methanol Using ANN Technique -- 1 Introduction -- 2 Proposed Experiment -- 3 Result and Discussion -- 4 Conclusion -- References -- Detect Traffic Lane Image Using Geospatial LiDAR Data Point Clouds with Machine Learning Analysis -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Land-Usage/Land-Coverage Change Analysis -- 4 Interpretation Concept -- 5 Conclusion and Future Scope -- References -- Classification of High-Dimensionality Data Using Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Machine Learning Techniques -- 3.1 Naive Bayes Algorithm -- 3.2 Support Vector Machine (SVM). , 3.3 K-Nearest Neighbor (KNN) Algorithm -- 3.4 Principal Component Analysis (PCA) -- 4 Proposed Model -- 5 Performance Evaluation Metrics -- 6 Result Analysis -- 7 Conclusion -- References -- To Detect Plant Disease Identification on Leaf Using Machine Learning Algorithms -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Dataset and Attributes -- 5 Application of the Outcomes -- 6 Result Analysis -- 7 Conclusion -- References -- Association and Correlation Analysis for Predicting the Anomaly in the Stock Market -- 1 Introduction -- 2 Related Work -- 3 Data Preparation -- 4 Methodology -- 4.1 Data Mining Association Rule -- 5 Results and Discussion -- 6 Conclusion -- References -- Early Identification of Diabetic Retinopathy Using Deep Learning Techniques -- 1 Introduction -- 1.1 Types of Diabetic Retinopathy -- 2 Literature Review -- 3 Methodology -- 4 Experimentation Setup -- 5 Dataset -- 6 Image Processing -- 6.1 Input Fundus Images -- 6.2 Gray Fundus Images -- 6.3 Gaussian Blur -- 7 Convolution Neural Network Models -- 7.1 Training Using ResNet50 and VGG16 -- 8 Result -- 8.1 Result of ResNet50 -- 8.2 Result of VGG16 -- 8.3 Comparison of Results -- 9 Conclusion -- 10 Future Work -- 11 Competing Interest -- References -- Performance Evaluation of MLP and CNN Models for Flood Prediction -- 1 Introduction -- 2 Study Area -- 3 Methodology -- 3.1 Mlp -- 3.2 CNN -- 3.3 Evaluating Constraint -- 4 Results and Discussions -- 5 Conclusion -- References -- Bidirectional LSTM-Based Sentiment Analysis of Context-Sensitive Lexicon for Imbalanced Text -- 1 Introduction -- 2 Related Work -- 2.1 Classification of Sentiments -- 2.2 Techniques of Supervised Learning -- 2.3 Techniques with No Supervision -- 2.4 Techniques for Semi-Supervised Learning -- 2.5 Ensemble Techniques -- 3 Proposed Methodology -- 3.1 Bidirectional Long Short-Term Memory (BLSTM). , 3.2 Calculating Sentiment Scores.

Note: Intro -- Organization -- Chief Patrons -- Patrons -- Organizing Chairs -- Publicity Chairs -- Advisory Committee -- Technical Program Committee -- Preface -- Contents -- About the Editors -- Faster Result Retrieval from Health Care Product Sales Data Warehouse Using Materialized Queries -- 1 Introduction -- 2 Implementation of MQDB for Bioteknika Healthcare Pvt. Ltd -- 3 Experimental Results -- 4 Conclusion -- References -- Sense Scheduling for Robotics Cognitive Intelligence -- 1 Introduction -- 2 Related Work -- 3 Human Though Process Test -- 4 Proposed System Architecture -- 5 Proposed Methodology -- 6 Result and Discussion -- 7 Conclusion -- 8 Conclusion -- References -- Feature Selection Using Ant Colony Optimization and Weighted Visibility Graph -- 1 Introduction -- 2 Review of Literature -- 3 Proposed Work and Experiment -- 3.1 Feature Extraction -- 3.2 Feature Selection -- 4 Performance Analysis -- 4.1 Precision, Recall, Specificity, and F1-Score -- 4.2 Accuracy -- 4.3 False Positive Rate(FPR) and False Negative Rate(FNR) -- 5 Conclusion -- References -- From Generic to Custom: A Survey on Role of Machine Learning in Pharmacogenomics, Its Applications and Challenges -- 1 Introduction -- 2 Genomics -- 2.1 Understanding the Disease -- 2.2 Challenges -- 2.3 Data Sharing -- 3 Pharmacogenomics -- 4 Machine Learning in Pharmacogenomics -- 4.1 Genome-Wide Association Study (GWAS) -- 4.2 Evolutionary Conservation -- 4.3 Applications of Genomics in Diabetes -- 5 Conclusion -- References -- Personalised Structure Balance Theory-Based Movie Recommendation System -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Pre-processing Module -- 3.2 Product-Based Recommendation Module -- 3.3 User-Based Recommendation Module -- 3.4 Prediction Module -- 4 Results -- 5 Conclusion -- References. , Machine Learning Techniques for the Investigation of Phishing Websites -- 1 Introduction -- 2 Literature Review -- 3 Materials and Method -- 3.1 Dataset -- 3.2 Data Preparation and Preprocessing -- 4 Experimental Results and Discussion -- 5 Conclusion and Future Work -- References -- Feature Extraction and Classification of Gestures from Myo-Electric Data Using a Neural Network Classifier -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Data Acquisition -- 3.2 Data Segmentation -- 3.3 Feature Extraction and Classification -- 4 Discussion and Results -- 5 Conclusion -- References -- Text-Convolutional Neural Networks for Fake News Detection in Tweets -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Data Preprocessing -- 3.2 Embedding Matrix -- 3.3 Classification -- 4 Experiments -- 4.1 Dataset -- 4.2 Feature Extraction -- 5 Results and Discussion -- 6 Conclusion -- References -- Effect of Soil and Climatic Attribute on Greenhouse Gas Emission from Agriculture Sector -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Data Acquisition -- 3.2 Database Creation -- 3.3 Data Preprocessing -- 3.4 Feature Extraction -- 3.5 Analysis of Features -- 3.6 Prediction Model -- 4 Result Analysis -- 4.1 Crop-Wise GHGs Emission -- 4.2 Season-Wise GHGs Emission -- 4.3 Most Influencing Parameter for Prediction of GHGs Emission -- 4.4 Using Deep Learning Approach -- 5 Conclusion -- References -- Optimal Image Feature Ranking and Fusion for Visual Question Answering -- 1 Introduction -- 2 Related Work -- 2.1 Visual Question Answering -- 2.2 Image Feature Extraction -- 3 Ranking and Feature Fusion (RFF) Framework -- 3.1 Overall Architecture -- 3.2 Feature Ranking -- 3.3 Feature Fusion -- 4 Results and Discussions -- 5 Conclusion -- References -- An Investigation on Indoor Navigation Systems -- 1 Introduction. , 2 Path Selection Taxonomy -- 2.1 Uninformed Search Algorithm -- 2.2 Informed Search Algorithm -- 3 Object or Obstacle Detection Taxonomy -- 3.1 CNN Algorithm -- 3.2 RCNN Algorithm -- 3.3 Fast RCNN Algorithm -- 3.4 Faster RCNN Algorithm -- 3.5 YOLO -- 4 Conclusion -- References -- Conceptualization and Design of Remotely-Accessible Hardware Interface (RAHI) Laboratory -- 1 Introduction -- 1.1 Background and Problem Identification -- 1.2 Literature Review and Proposed Solution -- 2 Technical Description -- 2.1 Server -- 2.2 Raspberry Pi and Hardware -- 2.3 Web Application -- 3 Discussion -- 3.1 Testing -- 3.2 Analysis -- 4 Future Scope -- 5 Conclusion -- References -- A Non-invasive approach for Driver Drowsiness Detection using Convolutional Neural Networks -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References -- Disaster Severity Analysis from Micro-Blog Texts Using Deep-NN -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Input Layer -- 3.2 Convolution Layer -- 3.3 Max-Pooling Layer -- 3.4 RNN Layer -- 3.5 Fully Connected Layer -- 4 Experimental Setup -- 4.1 Preparation of Datasets -- 4.2 Word-Embeddings -- 4.3 Network Training -- 5 Results and Discussion -- 6 Conclusion -- References -- WEKA Result Reader-A Smart Tool for Reading and Summarizing WEKA Simulator Files -- 1 Introduction -- 2 The WEKA Result Reader (WRR) -- 3 Performance Evaluation -- 3.1 Application-Level Testing of WRR Tools -- 3.2 System-Level Testing of WRR Tools -- 4 Conclusion -- References -- Predicting Reliability of Web Services Using Hidden Markov Model -- 1 Introduction -- 2 Models of NHPP -- 3 Hidden Markov Model for Reliability Model -- 3.1 Modeling the Failure Process with HMM -- 3.2 Parameter Estimation -- 3.3 Restoration of Hidden States. , 3.4 Bayesian Information Criterion (BIC) -- 4 Experiments -- 5 Conclusion -- References -- Optimal Contrast and Size-Invariant Recursive VCS Using Perfect Reconstruction of White Pixels -- 1 Introduction -- 2 Recursive Visual Cryptography Scheme -- 2.1 The RVCS Model -- 2.2 Working Example of RVCS -- 3 The Proposed Model: Size-Invariant RVCS with PRWP -- 3.1 Experimental Results -- 3.2 Analysis of Experimental Results -- 4 Conclusion -- References -- Performance Analysis of Brain Imaging Using Enriched CGLS and MRNSD in Microwave Tomography -- 1 Introduction -- 1.1 Related Works -- 2 Formulation of the Proposed Forward Process -- 3 Importance of Enriched CGLS and MRNSD Regularization Methods -- 4 Numerical Results and Discussion -- 4.1 Simulation Setup and Dataset -- 4.2 Performance Analysis on Varying Number of Antennas and Frequencies -- 4.3 Performance Analysis on Noise Distortion -- 5 Conclusion -- References -- Analysis and Identification of EEG Features for Mental Stress -- 1 Introduction -- 2 Methodology -- 2.1 Brief Procedure -- 2.2 Feature Extraction -- 2.3 Feature Selection -- 3 Results -- 4 Discussion -- 5 Conclusion -- 6 Future Work -- References -- Blockchain-Based Grievance Management System -- 1 Introduction -- 2 Benefits Over Current System -- 3 Approach -- 3.1 Working -- 3.2 System Architecture -- 3.3 Mathematical Model -- 4 Implementation -- 5 Conclusion -- References -- Utility of Neural Embeddings in Semantic Similarity of Text Data -- 1 Introduction -- 2 Neural Embedding Techniques -- 3 Methodology -- 4 Data Management -- 5 Experimental Results -- 5.1 Similarity Score Distribution -- 5.2 D-Prime -- 6 Conclusion -- References -- Big Data and Machine Learning Analytics to Detect Epileptic Seizures with Minimum Delay Using Random Window Optimization -- 1 Introduction -- 2 Big Datasets and Machine Learning. , 3 Epileptic Seizure Detection -- 4 Related Work -- 5 Methods -- 5.1 Support Vector Machine -- 5.2 Artificial Neural Network -- 6 Methodology -- 6.1 Top-K Amplitude Measure -- 6.2 Multiwindow Measure -- 6.3 Workflow -- 7 Results and Discussion -- 8 Conclusion -- References -- An Efficient Evaluation of Spatial Search on Road Networks Using G-Tree -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 G-Tree Indexing for Finding SPSP Based on Distance -- 4 Experimental Evaluation and Results -- 5 Conclusion -- References -- Investigation into the Efficacy of Various Machine Learning Techniques for Mitigation in Credit Card Fraud Detection -- 1 Introduction -- 2 Related Works -- 2.1 Machine Learning Algorithms -- 3 Proposed Methodology -- 4 Experimental Study -- 4.1 Credit Card Dataset -- 4.2 Design of Experiments -- 4.3 Performance Evaluation Measures -- 5 Results and Discussions -- 6 Conclusion and Future Work -- References -- Temporal Modeling of On-Street Parking Data for Detection of Parking Violation in Smart Cities -- 1 Introduction -- 2 Related Work -- 3 Data Collection and Preliminary Analysis -- 4 Problem Formulation -- 5 Proposed Approach -- 5.1 Proposed Detection Model -- 5.2 Proposed Algorithm -- 6 Simulation Results and Analysis -- 7 Conclusion and Future Work -- References -- Performance Optimization of Big Data Applications Using Parameter Tuning of Data Platform Features Through Feature Selection Techniques -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 4 Experiments and Results -- 5 Conclusion -- References -- Development of Emotional Decision-Making Model Using EEG Signals -- 1 Introduction -- 2 Methodology -- 2.1 Design of Experiment -- 3 Decision-Making Model -- 4 Conclusion -- References -- HMM Classifier Object Recognizing System in Brain-Computer Interface -- 1 Introduction -- 2 State of Art Development. , 3 Background.