Note: Intro -- Preface -- Contents -- Editors and Contributors -- 1 Applied Optimization and Swarm Intelligence: A Systematic Review and Prospect Opportunities -- 1 Introduction -- 2 Swarm Intelligence in Recent Years -- 3 Swarm Intelligence and Applied Optimization -- 3.1 Swarm Intelligence in Transportation and Logistics -- 3.2 Swarm Intelligence in Industry -- 3.3 Swarm Intelligence in Medicine -- 3.4 Swarm Intelligence in Energy -- 4 Challenges and Opportunities -- 5 Conclusions -- References -- 2 A Review on Ensemble Methods and their Applications to Optimization Problems -- 1 Introduction to Ensemble Methods for Optimization -- 2 Techniques in Assembling EEMs -- 3 Main Ensemble Evolutionary Methods Proposed in Literature -- 3.1 Ensemble Differential Evolution as a Competitive Single Population EEM -- 3.2 Ensemble Genetic Algorithms as a Competitive Multi-population EEM -- 3.3 Memetic Algorithms as a Cooperative Single Population EEM -- 3.4 Coral Reef Optimization with Substrate Layer as a Cooperative Multi-population EEM -- 4 Challenges and Future Works in EEM Study -- 5 Conclusions -- References -- 3 A Brief Overview of Swarm Intelligence-Based Algorithms for Numerical Association Rule Mining -- 1 Introduction -- 2 Swarm Intelligence in a Nutshell -- 3 Overview of SI-Based Algorithm for NARM -- 3.1 Particle Swarm Optimization NARM Variants -- 3.2 Ant Colony Optimization NARM Variants -- 3.3 Bat Algorithm NARM Variants -- 3.4 Other NARM Variants -- 4 Analysis of Algorithms for Numerical Association Rule Mining -- 4.1 Representation of Solutions -- 4.2 Definition of the Fitness Function -- 4.3 Discussion -- 5 Conclusions and Future Challenges -- References -- 4 Review of Swarm Intelligence for Improving Time Series Forecasting -- 1 Introduction -- 2 Time Series Analysis -- 2.1 Nature and Use of Forecasts -- 2.2 Forecasting Process. , 2.3 Classical LInear Forecasting Models -- 3 Deep Learning for Time Series Forecasting -- 3.1 Neural Network Architecture -- 3.2 Feed Forward Neural Networks -- 3.3 Recurrent Neural Network and Long Short-Term Memory -- 4 Swarm Intelligence for Time Series Forecasting -- 4.1 Hybridization of Optimization and Time Series Prediction -- 4.2 Particle Swarm Optimization (PSO) Algorithm -- 4.3 Artificial Fish Swarm Algorithm (AFSA) -- 4.4 Artificial Bee Colony Algorithm -- 4.5 Grey Wolf Optimizer -- 4.6 Cuckoo Search -- 4.7 Other SI Algorithms -- 5 Challenges and Opportunities -- 6 Conclusion -- References -- 5 Soccer-Inspired Metaheuristics: Systematic Review of Recent Research and Applications -- 1 Introduction -- 2 Nature-Inspired Computation and Optimization Metaheuristics -- 3 Soccer-Inspired Metaheuristics: A Systematic Review -- 3.1 Football Optimization Algorithm -- 3.2 Soccer Game Optimization -- 3.3 Golden Ball Metaheuristic -- 3.4 Soccer League Competition Algorithm -- 3.5 Soccer League Optimization -- 3.6 World Cup Competition Algorithm -- 3.7 Football Game Inspired Algorithm -- 3.8 Tiki-Taka Algorithm -- 4 Conclusions -- References -- 6 Formal Cognitive Modeling of Swarm Intelligence for Decision-Making Optimization Problems -- 1 Introduction -- 1.1 Cognitive Informatics -- 1.2 Decision-Making -- 1.3 Aims and Structure of This Chapter -- 2 Swarm Intelligence -- 2.1 Particle Swarm Optimization -- 2.2 The Firefly Algorithm -- 2.3 The Cuckoo Search Algorithm -- 2.4 The Bat Algorithm -- 3 Formal Cognitive Modeling of Swarm Intelligence for Decision-Making -- 3.1 Formal Cognitive Model for Decision-Making -- 3.2 A Formal Cognitive Modeling Approach to Swarm Intelligence -- 3.3 Cognitive Model of Swarm Intelligence for Decision-Making -- 4 Discussion and Advantages of Our Cognitive Formalism -- 5 Conclusions and Future Work -- References. , 7 Nature-Inspired Optimization Algorithms for Path Planning and Fuzzy Tracking Control of Mobile Robots -- 1 Introduction -- 2 Optimal Path Planning Problem and Approach to Solve It -- 3 Optimal PI-Fuzzy Controller-Based Tracking Control Problem and Approach to Solve It -- 4 Inclusion of WOA in Optimal Path Planning and Controller Tuning Approaches -- 5 Implementation Details -- 6 Conclusions -- References -- 8 A Hardware Architecture and Physical Prototype for General-Purpose Swarm Minirobotics: Proteus II -- 1 Introduction -- 1.1 Swarm Intelligence -- 1.2 Swarm Robotics -- 1.3 A First Swarm Robotic Prototype: Proteus I -- 1.4 Aims and Structure of This Chapter -- 2 Previous Work -- 3 A General-Purpose Minirobotic Prototype for Swarm Intelligence: Proteus II -- 3.1 Conceptual Design -- 3.2 Physical Arrangement of Components -- 3.3 Hardware Architecture and Main Components -- 3.4 Programming Framework -- 4 Prototype Applicability to Swarm Minirobotics -- 5 Conclusions and Future Work -- References -- 9 Evolving a Multi-objective Optimization Framework -- 1 Introduction -- 2 The jMetal Framework -- 3 Component-Based Evolutionary Algorithm Template -- 4 Visualization -- 4.1 Plotting Fronts -- 4.2 Visualization of Comparative Studies Results -- 5 Automatic Configuration of Metaheuristics -- 6 Asynchronous Parallelism -- 7 Discussion -- 8 Conclusions -- References -- 10 Swarm Intelligence Based Optimum Design of Deep Excavation Systems -- 1 Introduction -- 2 Design of the Deep Excavation Systems -- 2.1 The Design of SRASW According to FHWA-IF-99-015 -- 2.2 The Numerical Analyses for SRASW Design -- 3 Swarm Intelligence and Particle Swarm Optimizer -- 3.1 Swarm Intelligence -- 3.2 Particle Swarm Optimizer (PSO) -- 4 The Optimum Design of a Single-Row Anchored Sheet Wall -- 4.1 Design Parameters -- 4.2 Constraints -- 4.3 Objective Functions. , 4.4 Optimization Process -- 4.5 Design Examples -- 5 Conclusions -- References.

Note: Title -- Preface -- Contents -- Part I Artificial Intelligence and Cryptography -- Turing Test as a Defining Feature of AI-Completeness -- Introduction -- The Theory of AI-Completeness -- Definitions -- Turing Test as the First AI-Complete Problem -- Reducing Other Problems to TT -- Other Probably AI-Complete Problems -- 1st AI-Hard Problem: Programming -- Beyond AI-Completeness -- Conclusions -- References -- Artificial Intelligence Evolved from Random Behaviour: Departure from the State of the Art -- Introduction -- Artificial Intelligence vs. Natural Intelligence -- Definition of Human Intelligence -- Informal Definitions of Machine Intelligence -- Formal Definitions of Machine Intelligence -- A Thought on Artificial Intelligence So-Far-Proposed -- Artificial Intelligence Evolved from Randomness -- Machiavellian Intelligence -- Hibbard's Formal Definition Revisited -- Avidian -- A Modern Interpretation of Turing Test -- During 50 Years Since the Proposal -- An Easy Way to Cheat Human? -- Turing Test These Days -- Biologically Inspired Artificial Intelligence -- A Benchmark to Evaluate Artificial Intelligence -- To Aim a Real Human-Like Machine Intelligence -- Huge Number of Neurons-From Emulation to Simulation -- Toward Real AI by Parallelism -- Conclusions -- References -- Turing: Then, Now and Still Key -- Introduction -- Simplified Model of the Human Brain -- A List of Requirements for Intelligence -- General Mechanisms and Processes for Building a Solution -- Related Work -- Conclusions -- References -- Imitation Programming Unorganised Machines -- Introduction -- Background -- Discrete Dynamical Systems -- Graph-Based Representations -- Unorganised Machines -- Imitation Programming: Cultural Search -- Experimentation -- Asynchrony -- A Comparison with Evolution -- Towards Memristive Hardware -- Implication A-Types -- Synapse. , Conclusions -- References -- Towards Machine Equivalent Consciousness -- Introduction -- Patterns of Human Perceptions -- Sensation of Sight -- Sensation of Hearing -- Sensation of Smell -- Sensation of Taste -- Sensation of Touch -- A Comparison between Human and Machine Perceptions -- Awareness as Perceived Pattern of Physical Energy Changes -- Turing's Ideas for Building a Machine with Self-awareness -- Differences in Drawing Inference between Humans and Machines -- An Unfixable Difference in Drawing Inference -- A Fixable Difference -- Conclusion -- References -- Multicriteria Models for Learning Ordinal Data: A Literature Review -- Introduction -- Terminology and Concepts -- Multicriteria Decision Analysis -- MCDA Methods -- Inductive Learning Algorithms -- Feature Selection Algorithms on Ordinal Data -- Performance Measures -- Conclusion -- References -- Diophantine and Lattice Cryptanalysis of the RSA Cryptosystem -- Introduction -- The RSA Cryptosystem -- Diophantine Approximations -- Diophantine Approximations Cryptanalysis of RSA -- Wiener's Attack on RSA -- de Weger's Generalization of Wiener's Attack -- Another Generalization of Wiener's Attack -- Nassr et al. Generalization of Wiener's Attack -- Lattices -- Small Solution of Polynomial Equations -- Howgrave-Graham's Theorem -- Coppersmith's Theorem -- Herrmann and May's Theorem for Bivariate Modular Linear Equations -- The Small Inverse Problem -- Lattice-Reduction Cryptanalysis of RSA -- Factoring the RSA Modulus with Partial Knowledge of p -- Factoring the RSA Modulus with Small Prime Difference -- Boneh and Durfee's Class of Weak Keys -- Another Generalization of Wiener's Attack on RSA -- Least Significant Bits of d Known -- The \Phi-Hiding Assumption -- Diophantine and Lattice Cryptanalysis of RSA -- Bl\"{o}mer and May's Class of Weak Keys -- Another Class of Weak Keys. , Conclusion -- References -- Artificial Intelligence Methods in Early Childhood Education -- Introduction -- Background -- Educational Technology in Early Childhood: General Issues -- Intelligent Educational Systems -- Intelligent Educational Robots for Young Children -- Case Studies of Integrating IESs in Early Childhood Settings -- Outline of IES Approaches in Early Childhood -- Discussion of Derived Results -- Case Studies of Robot Integration in Early Childhood Settings -- Approaches Integrating Robots in Typical Early Childhood Classrooms -- Robots and Young Children with Special Needs -- General Approaches Concerning Robots and Young Children -- Discussion -- Conclusions -- References -- Recursively Generated Evolutionary Turing Machines and Evolutionary Automata -- Introduction -- Basic Evolutionary Machines -- Computations by Evolutionary Machines -- Construction of Evolutionary Machines -- Conclusion -- References -- On Dynamical Systems of Large Girth or Cycle Indicator and Their Applications to Multivariate Cryptography -- Introduction -- On Cryptography Basics, Cremona Group and Dynamical Systems -- Symmetric Cryptography -- Idea of a Asymmetry -- On the Discrete Logarithm Problem for Special Subgroups of Cremona Group -- On the History of Constructive Multivariate Cryptography -- Dynamical Systems with Large Cycle Indicator, Related Public Keys and Key Exchange Protocols -- On the Case of Ring Extensions -- On the Velocities of Growth of Orders for Polynomial Encryption Maps Based on Dynamical Systems of Large Girth and of Large Cycle Indicator -- Conclusion -- References -- On Extremal Graph Theory, Explicit Algebraic Constructions of Extremal Graphs and Corresponding Turing Encryption Machines -- Introduction -- On Algebraic Graphs, Automata and Turing Machines Related to Algebraic Graph. , Extremal Simple Graphs of Large Girth or Large Cycle Indicator -- On Families of Digraphs of Large Girth or Large Cycle Indicator -- Explicit Algebraic Constructions of Graphs, Digraphs of Large Girth or Large Cycle Indicator and Dynamical Systems -- Polarities of Incidence Structures and Related Dynamical Systems -- Improvement of Constants, Transitivity of Some Turing Machines -- Correlation with Expansion Properties -- On the Recent Implementation of Turing Machines Related to Graph Based Dynamical Systems -- Comparison of Our Symmetric Algorithm with RC4 -- Comparison with DES -- On the Expansion of Speed Evaluation for Some Other Stream Ciphers -- Conclusion -- References -- AIML Knowledge Base Construction from Text Corpora -- Introduction: Turing Test and Conversational Agents -- Turing Test as a Regulative Idea -- Chatbot Early History and General Developments -- Chatbot Applications for Educational Purpose -- AIML Language and Architecture -- Corpus Based Chatbots and Linguistic Issues -- The Corpus -- Building a Glossary: Linguistic Issues -- Corpus Based FAQ -- Steps for Chatter-Bot Generation -- Requirements for the Chatter-Bot -- Input Set Definition -- Chatter-Bot Lexical Knowledge Base Construction -- Chatter-Bot Testing -- Discussion -- Tools and Resources -- References -- Multidisciplinary Trends in Modern Artificial Intelligence: Turing's Way -- Introduction -- Artificial Intelligence: Challenges and Multidisciplinarity -- Symbolic and Connectionist Artificial Intelligence -- In Between AI Approaches: Multi-Agent Systems -- Natural and Artificial Intelligence -- Bio-inspired Methods and Transdisciplinarity -- Dynamic and Nonlinear Artificial Intelligence -- Chaos and Artificial Intelligence -- Chaotic Neural Network Basics -- Clustering Challenges -- Evolution of CNN -- Synchronization Phenomenon and Oscillatory Clusters. , Structure Complexity and Delaunay Triangulation -- Clustering and Classification by CNN -- Fractals and Oscillatory Dynamics -- Chaotic Neural Network and Multidiscilinarity -- Turing Ideas and Hardware Implementation of CNN -- Conclusion -- References -- An Overview of Computational Sparse Models and Their Applications in Artificial Intelligence -- Introduction -- Sparse Signal Optimization -- Sparse Signal Pursuit -- Proximal Gradient Method -- Solving Basis Pursuit via PG -- Applications in Compressive Sensing -- Sparse Learning -- Low Rank Matrix Completion -- Low Rank Matrix Completion -- PG Optimization for MC -- MC Applications: A General Review -- Noisy Depth Maps Fusion via MC -- Low Rank Structure Learning from Corruptions -- Low Rank Structure Learning -- Illumination Decomposition via LRSL -- Discussions on Future Works -- References -- MiTS in Depth: An Analysis of Distinct Tabu Search Configurations for Constructing Mixed Covering Arrays -- Introduction -- Related Work -- Mixed Covering Array Problem -- Proposed Approach -- Creating the Initial Solution -- Tabu List Definitions -- Neighborhood Functions -- Evaluation Function -- Stop Criterion -- Experimental Design: Analysis and Results -- First MiTS Design for MCA -- Second MiTS Design for MCA -- Third MiTS Design for MCA -- Conclusions -- References -- Part II Evolutionary Computation and Metaheuristics -- Metaheuristic Optimization: Nature-Inspired Algorithms and Applications -- Introduction -- Metaheuristics -- Metaheuristic Algorithms -- Ant Algorithms -- Bee Algorithms -- Genetic Algorithms -- Differential Evolution -- Particle Swarm Optimization -- Firefly Algorithm -- Harmony Search -- Bat Algorithm -- Cuckoo Search -- Artificial Neural Networks -- Neural Networks -- Back Propagation Algorithm -- Characteristics of Metaheuristics -- No-Free-Lunch Theorems. , Search for Free Lunches.

Note: Intro -- 359 -- Preface -- List of Contributors -- Table of Contents -- Adjoint-Based Control of Model and Discretization Errors for Gas andWater Supply Networks -- Introduction -- Modelling -- General Aspects -- Gas Supply Networks -- Water Supply Networks -- Error Estimators -- Adaptive Error Control -- Numerical Examples -- Gas Supply Network -- Water Supply Network -- Conclusion and Outlook -- References -- Derivative-Free Optimization for Oil Field Operations -- Introduction -- Basic Methodologies -- Simulation Techniques -- Optimization Problem Statement -- Derivative-Free OptimizationMethods -- Well Control Optimization with Operational Constraints -- Constraint Handling Techniques -- Production Optimization Example -- OptimalWell Placement with Particle Swarm Optimization -- OptimizationMethodology -- Field Development Optimization Example -- Assimilation of Reservoir Data (Inverse Modeling) -- Problem Statement -- Methodologies for Data Assimilation -- Data Assimilation Example -- Concluding Remarks -- References -- Simulation-Driven Design in Microwave Engineering: Application Case Studies -- Introduction -- Surrogate-Based Design Optimization in Microwave Engineering -- Surrogate Models in Microwave Engineering -- Space Mapping -- Simulation-Based Tuning and Tuning Space Mapping -- Shape-Preserving Response Prediction -- Multi-fidelity Optimization Using Coarse-Discretization EM Models -- Optimization Using Adaptively Adjusted Design Specifications -- Surrogate-Based Design Optimization of Microwave Filters -- Optimization of a Microstrip Bandpass Filter Using Space Mapping Technique -- Optimization of a Microstrip Bandpass Filter Using Tuning Space Mapping -- Design of Dual-Band Bandpass Filter Using Shape-Preserving Response Prediction -- Surrogate-Based Design Optimization of Antennas. , Design of UWB Antipodal Vivaldi Antenna Using Coarsely-Discretized EM Models, Kriging and Space Mapping -- Design of Planar Yagi Antenna Using Adaptive Design Specifications -- Multi-fidelity Design of Microstrip Broadband Antenna -- Surrogate-Based Design Optimization of Microwave Transitions -- Multi-fidelity Design of Microstrip-to-Coplanar Waveguide Transition -- Design of Coplanar Waveguide-to-Substrate Integrated Waveguide Transition -- Conclusion -- References -- Airfoil Shape Optimization Using Variable-Fidelity Modeling and Shape-Preserving Response Prediction -- Introduction -- Airfoil Shape Optimization -- Optimization Methodology -- General Description -- Surrogate Modeling Using Shape-Preserving Response Prediction -- Objective Function -- Optimization with SPRP Surrogate -- Optimization Algorithm -- Transonic Airfoil Design -- Case Setup -- Model Setup -- Results and Discussion -- High-Lift Airfoil Design -- Case Setup -- Model Setup -- Results and Discussion -- Summary -- References -- Evolutionary Optimisation Techniques to Estimate Input Parameters in Environmental Emergency Modelling -- Introduction -- The Input Parameter Problem in Environmental Emergency Modelling -- Forest Fire Spread Prediction -- The Input Parameter Problem -- Parameter Estimation with Knowledge-Guided Genetic Algorithm -- Parallel Implementation of Hybrid Genetic Algorithm -- Knowledge Representation -- Knowledge Retrieval -- Knowledge Insertion -- Experimental Evaluation -- Conclusions and Future Work -- References -- Harmony Search Algorithms in Structural Engineering -- Introduction -- Discrete Optimum Design of Steel Space Frames to LRFD-AISC -- The Objective Function -- Strength Constraints -- Displacement Constraints -- Geometric Constraints -- Harmony Search Algorithms -- Standard Harmony Search Algorithm -- Various Harmony Search Algorithms. , Standard Harmony Search with Adaptive Error Strategy (SHSAES) -- Standard Harmony Search with Penalty Function (SHSPF) -- Adaptive Harmony Search with Penalty Function (AHSPF) -- Improved Harmony Search (IHS, Mahdavi) -- Global Best Harmony Search (GBHS, Mahdavi) -- Improved Harmony Search (IHSC, Coelho) -- Dynamic Harmony Search (DHS) -- Design Examples -- Five-Story, Two-Bay Regular Steel Space Frame -- Ten-Story, Four-Bay Steel Space Frame -- Twenty-Story, 1860-Member, Steel Space Frame -- Conclusions -- References -- Waveform Optimization for Integrated Radar and Communication Systems Using Meta-Heuristic Algorithms -- Introduction -- Meta-Heuristic Algorithms -- Particle Swarm Optimization -- Harmony Search -- Adaptive Simulated Annealing -- Artificial Bee Colony Algorithm -- Preliminaries for Waveform Design -- Polyphase Sequences and Their Applications -- Polyphase Sequences for Radar Systems -- Polyphase Sequences for Communication Systems -- Application of Oppermann Sequences for Integrated Radar and Communication Systems -- Performance Measures -- Aperiodic Correlation Measures -- Sidelobe Measures -- Numerical Examples -- Conclusions -- References -- Parameter Estimation from Laser Flash Experiment Data -- Introduction -- The Laser Flash Experiment -- Mathematical Model -- Governing Equations -- Boundary Conditions -- Numerical Methods -- Optimisation Results -- Initial Optimisation Results -- Revision of the Model -- Optimisation Results with the New Model -- Discussion -- References -- Applications of Computational Intelligence in Behavior Simulation of Concrete Materials -- Introduction -- Computational Intelligence -- Genetic Programming -- Artificial Neural Network -- Modeling Process and Parameters Setting -- Model Development Using GP-Based Methods -- Model Development Using ANN-Based Methods -- Finding the Optimum Models. , Case Studies -- Compressive Strength of Concrete -- Elastic Modulus of Concrete -- Discussion -- Conclusions -- References -- A New Approach to Network Optimization Using Chaos-Genetic Algorithm -- Introduction -- Genetic Algorithms -- Chaos Theory -- Chaos Optimization Algorithm (COA) -- Chaos-Genetic Algorithm (CGA) -- Grid Scheduling: Case Study # 1 -- Challenges of Scheduling Algorithms in Grid Computing -- Problem Description -- The Chaos-Genetic Scheduling Algorithm (CGA) -- Experimental Results -- Network-on-Chip (NoC): Case Study # 2 -- Network on Chip -- Problem Description -- Simulation Results -- Performance Analysis of One-Dimensional Chaotic Maps -- Concluding Remarks -- References -- Index.

Note: Intro -- Preface -- Contents -- Editors and Contributors -- Highly Efficient Stochastic Approaches for Computation of Multiple Integrals for European Options -- 1 Introduction -- 2 Problem Settings and Motivation -- 3 Highly Efficient Stochastic Approaches Based on Lattice Rules -- 4 Numerical Examples and Results -- 5 Conclusion -- References -- Spectrum Sensing Data Falsification Attack Reputation and Q-Out-of-M Rule Security Scheme -- 1 Introduction -- 2 Related Work -- 3 Network Model -- 4 Results and Analysis -- 5 Conclusion -- References -- Lean Manufacturing Tools for Industrial Process: A Literature Review -- 1 Introduction -- 2 Research Methodology -- 3 Literature Review -- 3.1 Lean Manufacturing -- 3.2 The Lean Manufacturing Implementation Route -- 3.3 Discussion and Analysis of Results -- 4 Conclusions -- References -- Lambda Computatrix (LC)-Towards a Computational Enhanced Understanding of Production and Management -- 1 Introduction -- 1.1 How Artificial Intelligence (AI) Can Support and Regain Human Society Values -- 1.2 Production and Management -- 1.3 Theorem Proving (TP) -- 1.4 Content and Organization of This Paper -- 1.5 Goal -- 2 Lambda Computatrix (LC) -- 3 Simulation in Production and Management Methods -- 4 Theorem Proving (TP) -- 4.1 AI-Legal -- 4.2 Logistics -- 5 TP in Production and Management, Summary, Conclusions and Outlook -- References -- Behavioral Analysis of Wireless Channel Under Small-Scale Fading -- 1 Introduction -- 2 Small-Scale Fading Causing Factors -- 3 Wireless Channel Model -- 4 Results and Discussions -- 5 Conclusion -- References -- Towards a Framework to Address Enterprise Resource Planning (ERP) Challenges -- 1 Introduction -- 2 Research Question (RQs) -- 3 Methodology -- 4 Review of IS/ERP Frameworks -- 5 Evaluating Emphases and Challenges in the ERP Frameworks. , 5.1 Linking ERPs with IS Success Models -- 5.2 Summary of ERP Challenges -- 5.3 Discussion and Analysis -- 6 The Proposed Framework -- 7 Reasons for Incorporating Formal Methods (FMs) in the Proposed ERP Framework -- 8 Conclusion -- References -- Potentials of Digital Business Models in the Construction Industry-Empirical Results from German Experts -- 1 Introduction -- 2 Digitization in the Construction Industry -- 3 Background and Research Design -- 4 Methodology -- 5 Results -- 6 Conclusion -- References -- An Alternative Auction System to Generalized Second-Price for Real-Time Bidding Optimized Using Genetic Algorithms -- 1 Introduction -- 2 Our Novel Advertising Exchange System -- 2.1 Advertising Exchange System -- 2.2 Development of the Advertisement Exchange System -- 3 Calculating the Optimal Value of the Weights Using a Genetic Algorithm -- 3.1 Representation and Initial Population -- 3.2 Handling Constraints -- 3.3 Fitness Function -- 3.4 Genetic Algorithm Parameter Configuration -- 3.5 Justification for the Chosen Values of the Coefficients, Penalties and Rules -- 4 Experiments and Results -- 4.1 Preparation of the Experiments -- 4.2 Experiment I -- 4.3 Experiment II -- 5 Conclusions and Future Work -- References -- Low-Cost Fuzzy Control for Poultry Heating Systems -- 1 Introduction -- 2 Case Study -- 3 Solution Proposal -- 3.1 Fuzzy Inference Based on Linear Programming -- 3.2 LAMP Server -- 4 Results -- 5 Conclusions -- References -- Towards Empowering Business Process Redesign with Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 2.1 Business Process Redesign -- 2.2 Business Process Modeling -- 2.3 BPMN -- 2.4 Data Mining, Sentiment Analysis, and Opinion Mining in Business Processes -- 3 BPM Lifecycle and SentiProMo Tool -- 3.1 Using Sentiment Analysis in BPR -- 4 Sentiment Analysis Module (SAM) -- 4.1 Evaluation. , 5 Preliminary Results -- 6 Conclusion and Outlook -- References -- An Integration of UTAUT and Task-Technology Fit Frameworks for Assessing the Acceptance of Clinical Decision Support Systems in the Context of a Developing Country -- 1 Introduction -- 1.1 Unified Theory of Acceptance and Use of Technology (UTAUT) -- 1.2 Task-Technology Fit (TTF) -- 2 Background -- 2.1 Theoretical Conceptual Framework -- 3 Methodology -- 3.1 Stage One: Initiated Requirement Generation of the Framework -- 3.2 Stage Two: Discovering the Factors of the Framework Through Perspectives -- 3.3 Stage Three: Validation of a New Proposed Framework -- 4 Data Analysis -- 5 Modified Proposed Framework -- 6 Discussion and Conclusion -- References -- Research Trends in the Implementation of eModeration Systems: A Systematic Literature Review -- 1 Introduction -- 2 Systematic Literature Review -- 3 Results and Findings -- 4 Conclusion -- References -- From E-Government to Digital Transformation: Leadership -- 1 Introduction -- 2 Background -- 2.1 Digital Transformation (DT) -- 2.2 Digital Maturity -- 2.3 Leadership -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- Application of Machine Learning Methods on IoT Parking Sensors' Data -- 1 Introduction -- 2 Related Work -- 3 Data of Parking Sensors -- 4 Application of Machine Learning and Results -- 4.1 Normalization of Parking Sensor Data -- 4.2 XGBoost -- 4.3 Neural Networks Models -- 4.4 Using Clustering to Improve Results -- 5 Conclusion -- References -- A Fast Algorithm for Image Deconvolution Based on a Rank Constrained Inverse Matrix Approximation Problem -- 1 Introduction -- 2 RCIMA Method -- 3 Fast Algorithm to Compute Pseudoinverse and Low-Rank Approximation -- 3.1 Pseudoinverse and Tensor Product Matrix -- 3.2 Low-Rank Approximation and Bilateral Random Projection -- 4 Fast-RCIMA Method. , 5 Numerical Simulation -- 5.1 Speedup and Percent Difference -- 5.2 Numerical Example for Image Deconvolution -- 6 Conclusions -- References -- On-Body Microstrip Patch Antenna for Breast Cancer Detection -- 1 Introduction -- 2 Structure and Design Method -- 2.1 Design of Antenna -- 2.2 Equations Employed in Design of Propounded Antenna -- 2.3 Human Breast Phantom Model and Tissue Properties -- 3 Antenna Characteristics Without Cancerous Tumor -- 3.1 Reflection Coefficient or S11 Parameter -- 3.2 Far-Field Radiation Pattern -- 3.3 VSWR-Voltage Standing Wave Ratio -- 3.4 SAR-Specific Absorption Rate -- 4 Antenna Characteristics with Cancerous Tumor -- 4.1 Reflection Coefficient or S11 Parameter -- 4.2 Other Characteristics -- 5 Conclusion -- References -- Machine Learning with Meteorological Variables for the Prediction of the Electric Field in East Lima, Peru -- 1 Introduction -- 1.1 Context for the Research Study -- 2 Literature Review -- 2.1 Machine Learning -- 2.2 Regression Learner App -- 3 Materials y Methods -- 3.1 Methodology -- 4 Results -- 4.1 Results of Machine Learning Models in Predicting the Electric Field -- 4.2 Description of Solar Radiation with the Electric Field -- 4.3 Description of the UV Level with the Electric Field -- 5 Conclusions -- References -- Enhanced Honeyword Generation Method Using Advanced DNA Algorithm -- 1 Introduction -- 2 Literature Review -- 3 Background Theory -- 3.1 Enhanced Honeyword Generation -- 3.2 Enhanced DNA Algorithm -- 4 Flowchart of the Proposed System -- 5 Testing Results -- 6 Comparative Study -- 6.1 Time Complexity -- 6.2 Flatness -- 6.3 Typo Safety -- 6.4 Storage Overhead -- 7 Conclusion -- References -- A Review: How Does ICT Affect the Health and Well-Being of Teenagers in Developing Countries -- 1 Introduction -- 2 Methodology -- 2.1 Search Strategy -- 2.2 Inclusion and Exclusion Criteria. , 3 Results and Discussions -- 3.1 Adoption of ICT -- 3.2 Gender Gaps -- 3.3 Mobile Health -- 3.4 Detrimental Impacts of ICT -- 4 Conclusion and Future Works -- References -- Multi-image Crowd Counting Using Multi-column Convolutional Neural Network -- 1 Introduction -- 2 Methods -- 2.1 Pre-processing: Region of Interest (ROI) Selection -- 2.2 Pre-processing: Perspective Normalization -- 2.3 Feature Extraction: Multi-column Convolutional Neural Network (MCCNN) -- 2.4 Crowd Counting Using Modified MCNN -- 3 Experimental Setup -- 3.1 Dataset, Network Training, and Performance Criteria -- 4 Results -- 5 Conclusion -- References -- Which Features Are Helpful? The Antecedents of User Satisfaction and Net Benefits of a Learning Management System (LMS) -- 1 Introduction -- 2 Methodology -- 3 Results and Discussion -- 4 Limitations and Recommendations -- References -- Performance Analysis of a Neuro-Fuzzy Algorithm in Human-Centered and Non-invasive BCI -- 1 Introduction -- 2 Theories Involved -- 2.1 Butterworth Band-Pass Filters -- 2.2 Adaptive Neuro-Fuzzy Inference System (ANFIS) -- 3 Materials and Methods -- 3.1 Generation of EEG Raw Signals -- 3.2 Retrieving and Transferring of Generated EEG Data -- 3.3 Pre-processing of Data and Feeding to Algorithm -- 4 Results and Discussion -- 4.1 Simulation Results for First EEG Dataset -- 4.2 Simulation Results for Second EEG Dataset -- 5 Conclusion and Recommendation -- References -- A Workflow-Based Support for the Automatic Creation and Selection of Energy-Efficient Task-Schedules on DVFS Processors -- 1 Introduction -- 2 Energy-Efficient Task Scheduling -- 2.1 Scheduling Problem for Independent Tasks -- 2.2 Bucket-Based Scheduling and Execution -- 2.3 Frequency Scaling for Energy Efficiency -- 3 Schedule Creation and Evaluation Framework -- 3.1 Workflow to Determine a Schedule -- 3.2 Framework Implementation. , 4 Experimental Evaluation.

Note: Intro -- Foreword -- Preface -- Acknowledgments -- Contents -- Contributors -- Acronyms -- 1 An Overview of the Use of Metaheuristics in Two Phase Equilibrium Calculation Problems -- 1.1 Introduction -- 1.2 Analysis of Previous Works -- 1.3 Description of the Problems -- 1.3.1 Calculation of a Reactive Azeotrope in a Ternary System (RA Problem) -- 1.3.2 Calculation of Dew Point Pressures in a Binary System with Double Retrograde Vaporization (DRV Problem) -- 1.4 Description of the Metaheuristics and Statistical Analysis -- 1.4.1 The Differential Evolution Algorithm (DE) -- 1.4.2 The Harmony Search Algorithm (HS) -- 1.4.3 Statistical Analysis -- 1.4.3.1 Comparison of Different Sets of Data -- 1.4.3.2 Paired or Unpaired Data Tests -- 1.4.3.3 Parametric or Non-parametric Tests -- 1.4.3.4 Using Non-parametric Test for Parametric Data -- 1.4.3.5 Non-parametric Unpaired Data Tests -- 1.4.3.6 Representing Results -- 1.5 Results and Discussion -- 1.5.1 Reactive Azeotrope Calculation (RA) -- 1.5.1.1 Fitness Evaluation -- 1.5.1.2 Solution Distance -- 1.5.2 Double Retrograde Vaporization Calculation -- 1.5.2.1 Fitness Evaluation -- 1.5.2.2 Solution Distance -- 1.6 Conclusions -- References -- 2 Reliability-Based Robust Optimization Applied to Engineering System Design -- 2.1 Introduction -- 2.2 Robust Design (RD) -- 2.3 Reliability-Based Optimization (RBO) -- 2.3.1 First Order Reliability Method (FORM) -- 2.3.2 Second-Order Reliability Method (SORM) -- 2.3.3 Sequential Optimization and Reliability Assessment (SORA) -- 2.3.4 Inverse Reliability Analysis (IRA) -- 2.4 Differential Evolution Algorithm (DE) -- 2.5 Methodology -- 2.6 Mathematical and Engineering Applications -- 2.6.1 Nonlinear Limit State -- 2.6.2 Highly Nonlinear Limit State -- 2.6.3 Short Column Design -- 2.6.4 Cantilever Beam Problem -- 2.6.5 Three Bar Truss Problem -- 2.7 Conclusion. , References -- 3 On Initial Populations of Differential Evolution for Practical Optimization Problems -- 3.1 Introduction -- 3.2 The Initialization Schemes -- 3.2.1 The Mersenne Twister Pseudorandom Generator -- 3.2.2 Mersenne Twister and Opposition-Based Learning -- 3.2.3 The Sobol Low-Discrepancy Sequence -- 3.3 Numerical Comparisons -- 3.3.1 The Practical Problems -- 3.3.1.1 Chemical Equilibrium Problem -- 3.3.1.2 Lennard-Jones Potential -- 3.3.1.3 Fertilizer Experiment Parameter Estimation -- 3.3.2 Implementation and Setup -- 3.3.3 Computational Results -- 3.4 Conclusions -- References -- 4 Application of Enhanced Particle Swarm Optimization in Euclidean Steiner Tree Problem Solving in RN -- 4.1 Introduction -- 4.2 Definition of Euclidean Steiner Tree Problem (ESTP) -- 4.2.1 Smith's Algorithm -- 4.3 Particle Swarm Optimization -- 4.4 Resolution of the Euclidean Tree Problem in RN with the Particle Swarm Optimization -- 4.4.1 Definition of a Particle -- 4.4.2 Overview of the Proposed Resolution -- 4.4.3 Use of the Minimum Spanning Tree and Geometry to Obtain Topology -- 4.4.3.1 Vectorial Calculus of a Steiner Point from Three Given Points -- 4.4.4 A Modified Particle Swarm Optimization for ESTP Resolution -- 4.4.4.1 Particle Velocity Based on the Spatial Characteristics of Steiner's Points -- 4.5 Computational Results -- 4.5.1 Computational Test Environment -- 4.5.2 Test Methodology -- 4.5.2.1 Results: Set of 1000 Points-Execution Time -- 4.5.2.2 Results: Set of 1000 Points-Cost Function -- 4.5.2.3 Results: Set of 10,000 Points-Execution Time -- 4.5.2.4 Results: Set of 10,000 Points-Cost Function -- 4.6 Discussion on the Experimental Results -- 4.6.1 Solution Quality -- 4.6.2 Computational Effort -- 4.7 Conclusion and Future Work -- References. , 5 Rotation-Based Multi-Particle Collision Algorithm with Hooke-Jeeves Approach Applied to the Structural Damage Identification -- 5.1 Overview -- 5.2 Hybrid Algorithm for SDI -- 5.2.1 Rotation-Based Multi-Particle Collision Algorithm with Hooke-Jeeves -- 5.2.2 Multi-Particle Collision Algorithm -- 5.2.2.1 Perturbation Function -- 5.2.2.2 Exploitation Function -- 5.2.2.3 Scattering Function -- 5.2.2.4 Blackboard Updating Function -- 5.2.3 Opposition-Based Learning and Some Derived Mechanisms -- 5.2.3.1 Rotation-Based Learning and Rotation-Based Sampling -- 5.2.3.2 Integration of MPCA and RBS -- 5.2.4 Hooke-Jeeves Pattern Search Method -- 5.2.4.1 Exploratory Move -- 5.2.4.2 Pattern Move -- 5.3 Vibration-Based Damage Identification Problem as an Optimization Problem -- 5.4 Damage Identification in a Cantilevered Beam -- 5.4.1 Cantilevered Beam -- 5.4.2 Experimental Results: Damage Identification from a Full Dataset -- 5.4.2.1 Case 1: Single Damage -- 5.4.2.2 Case 2: Mixed Multi-Damage -- 5.4.3 Experimental Results: Damage Identification from a Reduced Dataset -- 5.4.3.1 Case 1: Single Damage -- 5.4.3.2 Case 2: Mixed Multi-Damage -- 5.5 Final Remarks -- References -- 6 Optimization in Civil Engineering and Metaheuristic Algorithms: A Review of State-of-the-Art Developments -- 6.1 Introduction -- 6.2 Optimization and Metaheuristic Algorithms -- 6.2.1 Genetic Algorithm -- 6.2.2 Simulated Annealing -- 6.2.3 Particle Swarm Optimization -- 6.2.4 Harmony Search -- 6.2.5 Firefly Algorithm -- 6.2.6 Cuckoo Search -- 6.2.7 Bat Algorithm -- 6.2.8 Flower Pollination Algorithm -- 6.2.9 Other Metaheuristic Algorithms Used in Civil Engineering -- 6.3 Applications and Optimization in Civil Engineering -- 6.3.1 Truss Structures -- 6.3.2 Reinforced Concrete Members -- 6.3.3 Frame Structures -- 6.3.4 Bridges -- 6.3.5 Tuned Mass Damper -- 6.3.6 Construction Management. , 6.3.7 Hydraulics and Infrastructures -- 6.3.8 Transportation Engineering -- 6.3.9 Geotechnics -- 6.4 Conclusions -- References -- 7 A Bioreactor Fault Diagnosis Based on Metaheuristics -- 7.1 Introduction -- 7.2 Fault Diagnosis Formulated as an Optimization Problem -- 7.3 Description of the Bioreactor Benchmark Problem -- 7.3.1 FDI Formulation for the Benchmark Problem -- 7.4 Description of the Metaheuristics for the Benchmark Problem Fault Diagnosis -- 7.4.1 Ant Colony Optimization with Dispersion (ACO-d) -- 7.4.1.1 Description of the Algorithm for Continuous Problems -- 7.4.2 Differential Evolution with Particle Collision(DEwPC) -- 7.4.3 Description of the Algorithm -- 7.4.3.1 Mutation -- 7.4.3.2 Crossover -- 7.4.3.3 Selection -- 7.4.3.4 Selection with Absorption-Scattering with a Calculated Probability -- 7.4.4 Covariance Matrix Adaptation Evolution Strategy ( μw, λ) CMA-ES -- 7.4.4.1 Mutation -- 7.4.4.2 Selection -- 7.5 Test Cases Considered and Parameters Used in theMetaheuristics -- 7.5.1 Implementation of ACO-d -- 7.5.2 Implementation of DEwPC -- 7.5.3 Implementation of (μw,λ) CMA-ES -- 7.6 Results -- 7.6.1 Comparison with Other FDI Methods -- 7.7 Conclusions -- References -- 8 Optimization of Nuclear Reactors Loading Patterns with Computational Intelligence Methods -- 8.1 Introduction -- 8.2 Related Work -- 8.2.1 Particle Swarm Optimization -- 8.2.2 Cross-Entropy Algorithm -- 8.2.3 Population-Based Incremental Learning -- 8.2.4 Artificial Bee Colonies -- 8.3 Loading Pattern Optimization -- 8.4 Some Optimization Metaheuristics Applied to the LP Optimization -- 8.4.1 Particle Swarm Optimization (PSO) -- 8.4.2 Cross-Entropy Algorithm (CE) -- 8.4.3 Population-Based Incremental Learning (PBIL) -- 8.4.4 Artificial Bee Colonies (ABC) -- 8.5 Results and Discussion -- 8.5.1 Short-Run Results (PSO and CE) -- 8.5.2 Long-Run Results (PBIL and ABC). , 8.6 Conclusion -- Appendix -- Random Keys (RK) -- References -- 9 Inverse Problem of an Anomalous Diffusion Model Employing Lightning Optimization Algorithm -- 9.1 Introduction -- 9.2 Direct Problem Formulation and Solution -- 9.3 Inverse Problem -- 9.3.1 Maximum Likelihood -- 9.3.2 Lightning Optimization Algorithm (LOA) -- 9.3.2.1 Key Stages -- 9.4 Results and Discussion -- 9.5 Conclusions -- References -- 10 Study of the Impact of the Topology of Artificial Neural Networks for the Prediction of Meteorological Data -- 10.1 Introduction -- 10.2 Materials and Methods -- 10.2.1 Artificial Neural Networks -- 10.2.1.1 Artificial Neural Networks of Complex Topology -- 10.3 Methods -- 10.4 Results -- 10.5 Concluding Remarks -- References -- 11 Constructal Design Associated with Genetic Algorithm to Maximize the Performance of H-Shaped Isothermal Cavities -- 11.1 Introduction -- 11.2 H-Shaped Construct: Constructal Design and Numerical Formulation -- 11.3 Optimal H-Shaped Cavities -- 11.4 Conclusions -- References -- 12 Co-design System for Tracking Targets Using Template Matching -- 12.1 Introduction -- 12.2 Template Matching -- 12.3 Software Development -- 12.3.1 Genetic Algorithms -- 12.3.2 Particle Swarm Optimization -- 12.3.3 Comparison Between GA and PSO -- 12.4 Hardware Architecture -- 12.4.1 Dedicated Co-processor -- 12.4.1.1 First Stage -- 12.4.1.2 Second Stage -- 12.4.1.3 Third Stage -- 12.4.1.4 Square-Root Computation -- 12.4.1.5 Division Computation -- 12.4.2 Memory Controllers -- 12.5 Performance and Results -- 12.6 Conclusions -- References -- 13 A Hybrid Estimation Scheme Based on the Sequential Importance Resampling Particle Filter and the Particle Swarm Optimization (PSO-SIR) -- 13.1 Introduction -- 13.2 Physical Problem and Mathematical Formulation -- 13.3 Inverse Problem Formulation and Solution. , 13.3.1 Principle of the Sequential Monte Carlo Based Estimation.

Note: Intro -- Preface -- Contents -- Editors and Contributors -- Automated Diagnosis of Multiple Sclerosis Lesions in Brain MRI Using 3D-FLAIR Acquisition -- 1 Introduction -- 2 Method Description -- 2.1 Image Acquisition -- 2.2 Multiple Sclerosis Lesions Diagnosis -- 3 Discussion -- 4 Conclusion -- References -- Geographical Information System Readiness Assessment Framework in the South African Private Health Sector for Pre- to Post-COVID-19 Pandemic Management -- 1 Introduction -- 2 Related Study -- 3 Research Model -- 4 Methodology -- 5 Data Analysis -- 5.1 Reliability Test -- 5.2 Descriptive Statistics -- 5.3 Correlation of Constructs -- 5.4 Hypothesis Testings -- 6 Findings and Conclusion -- References -- Analysis of Quality Website Content and Twitter Content Quality as Public Service Tools at the Local Level in DKI Jakarta Province, Indonesia -- 1 Introduction -- 2 Literature Review -- 2.1 e-Government -- 2.2 e-Services Public -- 2.3 Website Quality -- 3 Method -- 4 Result -- 4.1 City Government/Regency Government Website Quality -- 4.2 Social Media on Government: Official Twitter -- 5 Conclusion -- References -- Design and Implementation of an IoT-Based Electric Power Smart Meter for Monitoring and Control at Home Level -- 1 Introduction -- 2 Materials and Methodology -- 2.1 Program Configuration -- 2.2 Microcontroller Configuration -- 3 Designing Codes for the Correct Operation of the Smart Meter -- 3.1 Energy Reading -- 3.2 Python and PHP Code for Sending and Receiving Data -- 3.3 HTML Code for Data Consultation -- 3.4 Database Structure HTML Code for Data Consultation -- 4 Customer Monitoring of the Smart Meter -- 4.1 Creation of the Tunnel to the Network by Ngrok -- 4.2 Monitoring from Web Server -- 5 Result -- 6 Conclusions -- References -- Security Strategy and Research of Power Protection Equipment Based on SELinux -- 1 Introduction. , 2 SELinux Security Architecture -- 2.1 Flask Architecture -- 2.2 Basic Concepts of SELinux -- 3 SELinux Security Model -- 4 SELinux Policy Configuration -- 4.1 SELinux Policy Description Language -- 5 Safety Policy Configuration and Implementation of Power Protection Equipment -- 5.1 Introduction to Electrical Protection Equipment -- 5.2 Design and Implementation of Safety Policy for Power Protection Equipment -- 5.3 Division of Administrator Roles for Power Protection Equipment -- 5.4 Independent Processes Isolation of Power Protection Equipment -- 5.5 Restriction to File and Hardware for Power Protection Equipment Application -- 6 Conclusions -- References -- Towards an Advanced Integrated Security Framework for Cloud Computing -- 1 Introduction -- 1.1 Research Question and Objective -- 2 Research Methodology -- 3 Literature Review -- 3.1 Documented Cloud Security Threats -- 3.2 Identified Cloud Security Frameworks -- 3.3 Cloud Forensic Security -- 3.4 Autonomic Computing -- 3.5 Virtualising Cloud Security -- 4 Analyses of Table 2 Frameworks -- 5 Towards the AIC2s Framework -- 6 Towards Formalising the AIC2s Framework -- 7 Operationalising the AIC2s Framework -- 8 Conclusions -- References -- Nutrition-Mental Health Association Using Big Data Techniques -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Methodology -- 4.1 Data Set -- 4.2 Method -- 5 Results -- 6 Conclusion -- References -- An Optimized TWIN Battery Resource Management Scheme in IEEE 802.16e Networks -- 1 Introduction -- 2 The Proposed TWIN Battery Resource Management Scheme -- 2.1 The Analytical Modelling of the Optimized TWIN Battery Resource Management Scheme -- 3 Performance Evaluation and Results -- 3.1 Effect of Both Tmin and Tmax on the Arrival Rate -- 4 Conclusion -- References -- A Content-Based Recommender System for Hidden Cultural Heritage Sites Enhancing. , 1 Introduction -- 2 Background -- 2.1 Recommender Systems -- 3 Related Works -- 3.1 Average Rating Filling -- 3.2 Stochastic Gradient Descent -- 3.3 Biased Stochastic Gradient Descent -- 4 The Proposed Approach -- 4.1 The Creation of the User Profile -- 4.2 Rating Forecasts -- 4.3 Numerical Results -- 5 Conclusions and Future Works -- References -- An IoT-Based Framework for Smart Agriculture Managing and Product Enhancing -- 1 Introduction -- 2 Background -- 3 The Proposed Approach -- 4 Experimental Results -- 5 Conclusions -- References -- An Approach Based on Context and Situation Awareness to Improve Functional Safety in Complex Scenarios -- 1 Introduction -- 2 The System Architecture -- 2.1 Management and Semantic Interpretation of a Knowledge Base -- 2.2 Context and Situation Awareness Management -- 2.3 Orchestration Layer -- 2.4 Other Aspects -- 3 Experimental Phase -- 4 Conclusion -- References -- Development of an Augmented Reality Application as Support in Antenna Characterization -- 1 Introduction -- 2 Design -- 2.1 Antenna Design -- 2.2 App Augmented Reality -- 3 Results -- 4 Conclusions -- References -- Classification of Finite Groupoids of Order 3 by Using Image Patterns -- 1 Introduction -- 2 Building Image Patterns -- 3 Classification of Groupoids of Order 3 by Random Selection of Their Patterns -- 4 Conclusion -- Appendix I -- References -- Barycentric Lagrange Interpolation Matrix-Vector Form Polynomial for Solving Volterra Integral Equations of the Second Kind -- 1 Introduction -- 2 Barycentrique Lagrange Matrix-Vector Interpolation -- 3 The Convergence in the Mean -- 4 Error Estimation -- 5 Computational Results -- 6 Conclusion -- References -- Using client's Characteristics and Their Financial Products to Predict Their Usage of Banking Electronic Channels -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Data. , 5 Results -- 6 Conclusion -- References -- Business Process Re-Engineering: Strategies for Health Management Services in Puskesmas -- 1 Introduction -- 2 Literature Review -- 3 Research Method -- 4 Result and Discussions -- 4.1 Recruitment of New Doctor Admissions -- 4.2 Payment for Drug Purchases -- 5 Conclusion -- References -- Classification of Music by Genre Using Probabilistic Models and Deep Learning Models -- 1 Introduction -- 2 Related Work -- 3 Music Features -- 3.1 Feature Extraction and Representation -- 3.2 Magnitude-Based Features -- 3.3 Tempo-Based Features -- 3.4 Pitch-Based Features -- 3.5 Chordal Progression Features -- 4 Feature Selection -- 5 Automatic Music Genre Classification -- 6 Conclusion and Recommendations -- References -- Categorizing Code Review Comments Using Machine Learning -- 1 Introduction -- 2 Background Study -- 3 Research Methodology -- 3.1 Data Accumulation -- 3.2 Data Labeling -- 3.3 Preprocessing -- 3.4 Training Model -- 3.5 Cross Validation -- 4 Results and Discussion -- 4.1 Classification Results -- 4.2 Precision, Recall and F1-Score for Categories of Data Set -- 5 Conclusion -- References -- Human Praying Structure Classifıcation with Transfer Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection Process -- 3.2 Data Pre-Processing -- 4 Model Architecture -- 5 Model Evaluation -- 5.1 Training Process -- 5.2 Optimizer Selection -- 5.3 Simulation Parameter -- 5.4 Performance Evaluation -- 5.5 Prediction Result -- 6 Conclusion and Future Work -- References -- Evaluating the Performance of Hybrid Quantum-Classical Convolutional Neural Networks on NISQ Devices -- 1 Introduction -- 2 Related Work -- 2.1 Quantum Convolutional Neural Networks -- 3 Methodology -- 3.1 Data -- 3.2 Models -- 3.3 Metrics -- 3.4 Design Platform and Environments -- 4 Results and Discussion -- 5 Conclusion. , References -- Behavior Patterns of Bantul Regency Government Employees in Adoption e-Government Transformation -- 1 Introduction -- 2 Literature Review -- 2.1 e-Government -- 2.2 Technology Adoption -- 2.3 Umega -- 3 Research Method -- 4 Result and Discussion -- 5 Conclusion -- References -- Music Genre Classification: A Comparative Study Between Deep Learning and Traditional Machine Learning Approaches -- 1 Introduction -- 1.1 Motivation -- 1.2 Research Problem -- 1.3 Research Overview -- 1.4 Previous Work Results -- 2 Methodology -- 2.1 GTZAN Dataset -- 2.2 Features -- 2.3 Deep Learning Approach -- 2.4 Traditional Machine Learning Approaches -- 2.5 Evaluation Metrics -- 3 Results and Discussion -- 3.1 Classification Results -- 3.2 Evaluation of Results -- 4 Conclusion and Recommendations -- References -- The Behavior Patterns of the Yogyakarta Special Region Government Official in Reacting to e-Government Transformation -- 1 Introduction -- 2 Literature Review -- 3 Methods -- 4 Result -- 4.1 Profile Respondent -- 4.2 Reliability -- 4.3 Path Coefficients and Hypothesis Testing -- 5 Conclusion -- References -- Proposed Framework for Implementing Cloud Computing in Yemeni Hospitals -- 1 Introduction -- 1.1 Cloud Computing Deployment Models -- 1.2 Cloud Computing Service Models -- 1.3 Software as a Service (SaaS) -- 1.4 Platform as a Service (PaaS) -- 1.5 Infrastructure as a Service (IaaS) -- 1.6 Cloud Computing in Healthcare -- 2 Related Work -- 3 The Proposed Framework -- 3.1 Description of the Proposed Framework -- 3.2 Scenario -- 4 Conclusion -- References -- A Bayesian Approach to Understanding the Influence of Traffic Congestion Given the Road Structure -- 1 Introduction -- 2 Related Work -- 2.1 Underlying Structure of Traffic -- 2.2 Structure Learning -- 2.3 Machine Learning in Traffic Prediction -- 3 Method and Data -- 3.1 Method -- 3.2 Data. , 4 Process and Results.

Note: Intro -- Preface -- Contents -- Editors and Contributors -- Techniques of Time Series Modeling in Complex Systems -- 1 Introduction -- 2 Discussion -- References -- Examining the Server's Load Average When Trying to Attack the Firewall -- 1 Introduction -- 2 Related Works -- 3 Theoretical Explanation -- 4 Experimental Environment -- 5 Results and Interpretation -- 6 Conclusions -- References -- Blockchain as a Technology Contributor: A Survey -- 1 Introduction -- 2 Literature Review -- 2.1 Advantages of Blockchain -- 2.2 Challenges of Blockchain -- 3 Blockchain Protocols -- 4 Future Discussion -- 5 Conclusion -- References -- GeLaP: German Labeled Dataset for Power Consumption -- 1 Introduction -- 2 Use Case and Disaggregation-BLADL -- 3 Methodology of Data Collection -- 3.1 Measuring Instruments -- 3.2 Data Transmission and Storage -- 3.3 Ethics and Privacy Considerations -- 4 Dataset Description -- 5 Households Overview -- 6 Data Quality Reflection -- 7 Related Datasets Survey -- 8 Conclusion and Future Work -- References -- Smart Platform Designed to Improve Poultry Productivity and Reduce Greenhouse Gas Emissions -- 1 Introduction -- 2 Solutions for Poultry Sector -- 2.1 Smart Poultry Management Systems and Role of Computer Vision and Machine Learning -- 2.2 Multi-criteria Decision-Making in the Poultry Production and Importance of GHG Reduction -- 3 Smart Platform for Improvement of Poultry Productivity and Reduction of Greenhouse Gas Emissions -- 3.1 Challenges of Implementation -- 3.2 Available Preliminary Data and Experimental Object -- 4 Conclusions -- References -- RPL-OC: Extension of RPL Protocol for LLN Networks Based on the Operator Calculus Approach -- 1 Introduction -- 2 Related Work -- 3 RPL-OC Approach -- 4 Performance Evaluation -- 5 Conclusions -- References -- Evaluating Challenges in Using Big Data in Healthcare. , 1 Introduction -- 2 Literature Review -- 2.1 Overall Challenges of Big Data -- 2.2 Application of Big Data in Healthcare -- 2.3 Challenges for Healthcare Industry -- 3 Thematic Analysis -- 4 Conclusion and Future Work -- References -- Hardware Control of the Electron Beam Energy Density by the Heating Spot -- 1 Introduction -- 2 Experimental Study -- 3 Conclusion -- References -- A Machine Learning Model for Predicting Fetal Hemoglobin Levels in Sickle Cell Disease Patients -- 1 Introduction -- 2 Background -- 2.1 Polymorphism and Hemoglobin Regulating Genes -- 2.2 Sickle Cell Anemia -- 3 Our Approach -- 3.1 Machine Learning Approach -- 3.2 Training/Test Set -- 4 Implementation -- 4.1 Previous Model Accuracy -- 4.2 K-Nearest Neighbors Algorithm Implementation -- 4.3 Model Data Processing -- 4.4 Alternative Algorithms Comparison -- 5 Results and Evaluation -- 5.1 Accuracy -- 5.2 K-Value Evaluation -- 5.3 Training Set Size and Cross-Validation -- 6 Conclusions -- 6.1 Model Applications -- 6.2 Future Work -- References -- Simulations of Instationary Schrodinger Equation with Coupled Time- and Space Splitting Methods -- 1 Introduction -- 2 Time-Space Splitting Method for Instationary Schrödinger Equations -- 3 Numerical Results -- 4 Conclusion -- References -- Prediction of Movie Success Using Twitter Temporal Mining -- 1 Introduction -- 2 Related Works -- 3 Movie Success Prediction Models -- 3.1 TweetAMovie Dataset Collection -- 3.2 Feature Preparation -- 3.3 Proposed Prediction Models -- 4 Experiments and Results -- 4.1 Experiments Results -- 5 Conclusion -- References -- The Model of Business Intelligence Development by Applying Cooperative Society Based Financial Technology -- 1 Introduction -- 2 Material and Method -- 2.1 Cooperative Society World Data -- 2.2 Relationships and BI Models to FinTech -- 3 Result and Discussions -- 4 Conclusion. , References -- A Computational Intelligent Cognition System Under Uncertainty -- 1 Introduction -- 1.1 Conception -- 1.2 Motivation, Novelty, and Contribution of the Study -- 2 The Self-Developing Computational Systemic Cognitive Memory -- 2.1 The Model of Self-Developing Computational Systemic Cognitive Memory -- 3 The Self-Developing Computational System Model of Situational Control of Mental Cognition -- 3.1 The Model of Situational Fuzzy Control of Mental Cognition -- 4 The CSSC Modeling Under Uncertainty -- 4.1 The Model of CSSC Modeling Process -- 4.2 Modeling of the CSSC -- 4.3 The Model of Computational Mapping Rules for the CSSC Modeling -- 5 Conclusion -- References -- State-of-the-Art of the Impact of HIV and Its Treatment on the Voice of PLHIV -- 1 Introduction -- 2 The Variability of the Voice in RAL -- 2.1 Technology-Related Variability -- 2.2 Conversation-Related Variability -- 2.3 Speaker-Related Variability -- 3 Does HIV and its Treatment Have an Impact on the Voice? -- 3.1 Difference Voice, Speech as Well as Their Disorders -- 3.2 Neurological Disorders and Voice Disorders -- 3.3 HIV and Voice Disorders in PLHIV -- 3.4 Medicines and Voice Disorders in PLHIV -- 4 Discussion -- 4.1 The Updated Models -- 4.2 Double Identification -- 5 Conclusion -- References -- Specifics of Digitalization Strategies for Risk Management Systems as a Transformation Factor of Russian Companies' Management Systems in the Context of the COVID-19 Pandemic -- 1 Introduction -- 2 Role and Significance of Digital Technology in Strategic Management and Risk Management Systems of Russian Companies in the Context of Pandemic -- 3 Research Method -- 4 Analysis of the Content of Processes of Introducing Digital Technology in Russian Companies' Strategic Management and Risk Management Systems in the Context of the Pandemic -- 5 Conclusion -- References. , Application of Adjusted Differential Evolution in Optimal Sensor Placement for Interior Coverage -- 1 Introduction -- 2 Mathematical Problem Formulation -- 3 A Suboptimal Sensor Location Method for IC -- 4 An Adjusted Discrete Differential Evolution for IC -- 5 Experimental Results -- 6 Conclusion -- References -- Minimizing Costs of Transportation Problems Using the Genetic Algorithm -- 1 First Section -- 1.1 Introduction -- 1.2 Research Method -- 1.3 Optimization -- 1.4 Transportation Problem -- 1.5 Genetic Algorithm -- 1.6 The Relationship Between the Genetic Algorithm and the Transfer -- 1.7 Solution -- 1.8 Results -- 1.9 Discussion -- References -- Analysis of the Most Promising Parametric Linear Methods for Studying Intellectual Competence -- 1 Introduction -- 1.1 Research Questions -- 1.2 Purpose of the Study -- 2 Study Participants -- 3 Research methods -- 3.1 Methodology for Diagnosing Conceptual Abilities: "Conceptual Synthesis" [9] -- 3.2 Methods for Identifying Metacognitive Abilities: -- 3.3 The Author's Method of Diagnostics of Intentional Abilities: "Mood" -- 3.4 Author's Methodology for Assessing Intellectual Competence: "Interpretation" -- 4 Results -- 4.1 Discriminant Analysis of Conceptual, Metacognitive, and Intentional Components of Intellectual Competence -- 4.2 Factor Structure of Intellectual Competence (Conceptual, Metacognitive, and Intentional Components) -- 4.3 Regression (Multiple) Analysis of the Components of Intellectual Competence (Conceptual, Metacognitive, and Intentional Components) -- 5 Findings -- References -- Enabling Cloud Computing to Facilitate Health Analytics Application from Local Hospitals in Thailand -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Query for Cancer, Hypertension, and Diabetic Patients -- 3.3 Data Cleaning Process. , 3.4 Relational Diagram and Violation Mapping -- 4 Results -- 5 Conclusion -- References -- Neural Network-Based TID Controller for Wheeled Mobile Robot Trajectory Tracking -- 1 Introduction -- 2 Kinematic Model of a Robot -- 3 Proposed NN-Based TID Controller -- 4 Results and Discussions -- 4.1 Case 1: Circular Trajectory -- 4.2 Case 2: Lemniscate Trajectory -- 4.3 Case 3: B Spline Trajectory -- 4.4 Case 4: Straight Line Trajectory -- 5 Conclusion -- References -- Do You Trust Me? Value and Governance in Data Sharing Business Models -- 1 Introduction -- 2 Research Questions -- 3 Methodology -- 4 Literature Review -- 4.1 Data-Sharing Literature -- 4.2 Data Governance Literature -- 4.3 Business Models Literature -- 5 Factors Determining Data Sharing -- 5.1 Intra-organizational -- 5.2 Inter-organizational -- 6 Conclusion -- References -- Knowledge Transfer in Intercultural Technical Communication in View of Translation Synergetic Paradigm -- 1 Introduction -- 2 Problem Statement and Research Goals -- 3 Methodology and Research Methods -- 4 Results and Discussions -- 5 Conclusion -- References -- User Experience Framework for Teachers Using Mobile Technologies in Resource-Constrained Environments -- 1 Introduction -- 2 Literature Review -- 2.1 User Experience -- 2.2 Exploring the UX Components -- 3 Research Methodology -- 4 Data Analysis and Findings -- 4.1 Results: User (Teacher) -- 4.2 Results: System (Mobile Technologies) -- 4.3 Results: Context (Resource-Constrained Environment-School) -- 5 Conclusion -- References -- Two-Phase Approach for Solving the Rich Vehicle Routing Problem Based on Firefly Algorithm Clustering -- 1 Introduction -- 2 Literature Review -- 3 Case Study -- 3.1 Phase I: Clustering -- 3.2 Phase II: Cluster Routing -- 4 Results -- 5 Conclusion -- References. , Controlled Social Network Adaptation: Subjective Elements in an Objective Social World.

Note: Intro -- Preface -- Organization -- General Chair -- Steering Committee -- Technical Program Chairs -- Program Committee -- Publicity Chair -- Publications Chair -- Web Chair -- Local Organizing Committee -- Contents -- Main Track -- Long Distance In-Links for Ranking Enhancement -- 1 Introduction -- 2 PageRank -- 3 Results -- 3.1 Simulation Settings -- 3.2 Simulation Results -- 4 Conclusions -- References -- Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency -- 1 Introduction -- 2 Background and Related Work -- 3 Proposed TRACE Approach -- 4 Experimental Setup -- 5 Results and Discussion -- 6 Conclusions and Future Work -- References -- Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures -- 1 Introduction -- 2 Background and Related Work -- 2.1 Adversarial Sample Crafting Techniques -- 2.2 Dynamic Time Warping -- 3 Attack Strategies for DTW Based kNN Classifiers -- 4 Experiments -- 4.1 Results and Discussion -- 5 Conclusions and Future Work -- A Appendix: Computation of P(c|Uv) gradient -- References -- Slot Co-allocation Optimization in Distributed Computing with Heterogeneous Resources -- 1 Introduction and Related Works -- 2 Resource Selection Algorithm -- 2.1 Problem Statement -- 2.2 Window Search Procedure -- 3 Simulation Study -- 3.1 Simulation Environment Setup -- 3.2 General Algorithms Comparison -- 3.3 Dependable Resources Allocation -- 4 Conclusions and Future Work -- References -- About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework -- 1 Introduction -- 2 The Observer Pattern -- 3 Proposed Architecture -- 3.1 Algorithm Templates in jMetal -- 3.2 Observer Pattern-Based Architecture -- 4 Implementation Details -- 5 Discussion -- 6 Conclusions -- References. , Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform -- 1 Introduction -- 2 Notation and Problem Formulation -- 3 Distributed Approach -- 4 Experimental Results and Discussions -- 4.1 Speedup and Efficiency -- 4.2 Analysis of Inferred Networks -- 5 Conclusions -- References -- Finding Best Compiler Options for Critical Software Using Parallel Algorithms -- 1 Introduction -- 2 Problem Description -- 3 Our Proposed Approach -- 4 Experimental Design -- 5 Experimental Analysis -- 5.1 Quality Analysis -- 5.2 Analysis of the Selected Flags -- 6 Conclusions -- References -- Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks -- 1 Introduction -- 2 Background -- 3 Evolving Spiking Neural Networks -- 4 Proposed Approach -- 5 Computer Experiments -- 6 Results and Discussion -- 7 Conclusions and Future Work -- References -- Energy -- A Hybrid Ensemble of Heterogeneous Regressors for Wind Speed Estimation in Wind Farms -- 1 Introduction -- 2 Data and Predictive Variables -- 3 A Hybrid Ensemble of Heterogeneous Regressors -- 3.1 Machine Learning Regressors Involved -- 3.2 Final Hybrid Heterogeneous Regressors Bank -- 4 Experimental Part -- 4.1 Results -- 5 Conclusions -- References -- Bio-inspired Approximation to MPPT Under Real Irradiation Conditions -- 1 Introduction -- 2 A Photovoltaic Model Under Real Conditions -- 3 Experimental Design -- 4 MPPT Based on the P& -- O Algorithm -- 5 MPPT Based on the ABC Algorithm -- 6 Results of the Simulation -- 7 Conclusions -- References -- Industry -- Decision Making in Industry 4.0 Scenarios Supported by Imbalanced Data Classification -- 1 Introduction -- 2 Description of the Use Case -- 3 Hypothesis Generation Process -- 4 Imbalanced Classification -- 4.1 Preprocessing Techniques for Imbalanced Data -- 4.2 Cost-Sensitive Classifiers. , 4.3 Ensemble Techniques for Imbalanced Data -- 5 Results and Discussion -- 6 Conclusions and Future Research -- References -- A Hybrid Optimization Algorithm for Standardization of Maintenance Plans -- Abstract -- 1 Introduction -- 2 Standardization of Maintenance Plans -- 3 The Hybrid Algorithm -- 3.1 Baseline Data -- 3.2 Plans vs Visits -- 3.3 Rules Procedures -- 3.4 Greedy Algorithms -- 3.5 Final Balance -- 4 Use Case -- 5 Conclusion -- References -- Labelling Drifts in a Fault Detection System for Wind Turbine Maintenance -- 1 Introduction -- 2 Non-stationary Data in Traditional Machine Learning -- 2.1 Concept Drift Theory -- 2.2 Adaptation Techniques -- 3 Proposed Methodology: Drift Labelling -- 3.1 Platform Overview -- 3.2 ELM Ensemble -- 3.3 Preliminary Results -- 4 Conclusions and Further Work -- References -- Time Series Forecasting in Turning Processes Using ARIMA Model -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Characterization of the Signal -- 3.2 Outlier Detection -- 3.3 Filtering -- 3.4 Abnormal Behavior Detection -- 3.5 Forecasting -- 4 Results -- 5 Conclusions and Future Work -- References -- A New Distributed Self-repairing Strategy for Transient Fault Cell in Embryonics Circuit -- 1 Introduction -- 2 Self-repairing Strategies of Embryonics Hardware -- 2.1 Cell Elimination Self-repairing Strategy (CESS) -- 2.2 Fault-Cell Reutilization Self-repairing Strategy (FCRSS) -- 3 Circuit Modules -- 3.1 Controller -- 3.2 Configuration Register (CR) -- 3.3 Assistant Reroute Module -- 4 Simulation and Reliability Analysis -- 4.1 I/O Simulation Results -- 4.2 Hardware Consumption and Time Consumption -- 4.3 Reliability Analysis -- 5 Conclusions -- References -- Mobility and Smart Cities -- Solving the Open-Path Asymmetric Green Traveling Salesman Problem in a Realistic Urban Environment -- 1 Introduction. , 1.1 Background and Research Contribution -- 2 Problem Definition -- 2.1 Quantifying CO2 Emission -- 3 Description of the Simulation Environment -- 4 Experiments and Results -- 5 Conclusions and Further Work -- References -- Road Traffic Forecasting Using NeuCube and Dynamic Evolving Spiking Neural Networks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Initialization and Unsupervised Learning -- 2.2 Supervised Learning and Regression Outputs -- 3 Experiments and Results -- 4 Conclusions and Future Work -- References -- A Preliminary Study on Automatic Algorithm Selection for Short-Term Traffic Forecasting -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- Solving an Eco-efficient Vehicle Routing Problem for Waste Collection with GRASP -- 1 Introduction -- 2 Eco-efficient Vehicle Routing Problem -- 3 Solution Approach -- 3.1 Determining Fill Level -- 3.2 Designing Routes -- 4 Computational Experiments and Results -- 5 Conclusions and Further Works -- References -- Fostering Agent Cooperation in AmI: A Context-Aware Mechanism for Dealing with Multiple Intentions -- 1 Introduction -- 2 Background -- 2.1 Planning and Cooperation -- 2.2 Contextual Planning System (CPS) -- 3 Collective Contextual Planning System (CCPS) -- 3.1 Formal Framework -- 4 Experiments -- 4.1 Scenario -- 4.2 Situations and Expected Outcomes -- 4.3 Results -- 5 Conclusion and Future Work -- References -- Robotics and Video Games -- Distributed Formation Tracking of Multi Robots with Trajectory Estimation -- 1 Introduction -- 2 Graph Theory -- 3 Consensus Algorithm with Time Varying Reference State -- 4 Controller Design for Formation of Multi Robots Based on Extended Consensus Algorithm -- 5 Communication Failure -- 6 Simulation Analysis -- 6.1 Kinematic Linearization -- 6.2 Simulation Results -- 7 Conclusions -- References. , Applying Evolutionary Computation Operators for Automatic Human Motion Generation in Computer Animation and Video Games -- 1 Introduction -- 1.1 Aims and Structure of the Paper -- 2 The Skeletal Model -- 3 The Method -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- A General-Purpose Hardware Robotic Platform for Swarm Robotics -- 1 Introduction -- 1.1 Aims and Structure of This Paper -- 2 Some Popular Swarm Intelligence Algorithms -- 2.1 Particle Swarm Optimization -- 2.2 Bat Algorithm -- 2.3 Firefly Algorithm -- 2.4 Cukoo Search Algorithm -- 3 Hardware Robotic Platform for Swarm Robotics -- 3.1 Hardware Architecture and Components -- 3.2 Programming Framework -- 4 Support Features for Swarm Intelligence Algorithms -- 5 Conclusions and Future Work -- References -- Internet of Things -- A Deep Learning Approach to Device-Free People Counting from WiFi Signals -- 1 Introduction -- 2 Preliminaries and Related Work -- 3 Proposed CNN Model for Device-Free People Counting -- 4 Experimental Setup -- 5 Results and Discussion -- 6 Conclusions -- References -- Evolutionary Algorithms for Design of Virtual Private Networks -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Mathematical Foundations -- 4 Evolutionary Algorithms -- 5 Experimental Results -- 6 Conclusion -- Acknowledgment -- References -- Forming Groups in the Cloud of Things Using Trust Measures -- 1 Introduction -- 2 Related Work -- 3 The Trust Model -- 4 The Distributed Grouping Algorithm -- 5 Experiments -- 6 Conclusions -- References -- Terrorism and War: Twitter Cascade Analysis -- 1 Introduction -- 2 Dataset Description: War and Terrorism -- 3 Dataset Analysis -- 4 Modeling the Retweet Dynamics -- 5 Conclusions -- References -- A Genetic Algorithm with Local Search Based on Label Propagation for Detecting Dynamic Communities -- 1 Introduction -- 2 Related Work. , 3 Algorithm Description.