Hybrid Intelligent Systems: 22nd International Conference on Hybrid Intelligent Systems (HIS 2022), December 13–15, 2022

Description

This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 97 selected papers from the 22nd International Conference on Hybrid Intelligent Systems (HIS 2022) and 26 papers from the 18th International Conference on Information Assurance and Security, which was held online, from 13 to 15 December 2022. A premier conference in the field of artificial intelligence and machine learning applications, HIS–IAS 2022, brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 35 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering. HIS - IAS Organization Preface Contents Hybrid Intelligent Systems Bibliometric Analysis of Studies on Lexical Simplification 1 Introduction 2 Related Work 3 Methodology 4 Results and Discussion 5 Conclusion References Convolutional Neural Networks for Face Detection and Face Mask Multiclass Classification 1 Introduction 2 Related Works 3 Proposed Method 3.1 General Architecture Description 3.2 Database 3.3 Creating a Model for Classification of Face Mask 4 Experimental Results 5 Conclusions References A Robust Self-generating Training ANFIS Algorithm for Time Series and Non-time Series Intended for Non-linear Optimization 1 Introduction 1.1 Materials and Methods 1.2 Inventory Model for EOQ 1.3 Groundwater Level Fluctuations 1.4 ANFIS Architecture 2 Results and Discussion References An IoT System Design for Industrial Zone Environmental Monitoring Systems 1 Introduction 2 IoT System Design 2.1 Design of IoT Devices 2.2 Design of IoT Gateway 2.3 IoT Cloud 2.4 User Applications 3 Experimental Results 3.1 Experimental Setup 4 Conclusion References A Comparison of YOLO Networks for Ship Detection and Classification from Optical Remote-Sensing Images 1 Introduction 2 Background 3 System Implementation 3.1 Dataset 3.2 Implementation 3.3 Training Results 3.4 Comparison Analysis 4 Conclusions References Design and Implementation of Transceiver Module for Inter FPGA Routing 1 Introduction 2 UART Transmitter Module 3 UART Receiver Module 4 UART Transceiver Module 5 Inter FPGA Routing 5.1 Working 6 Results and Discussion 7 Conclusion References Intelligent Multi-level Analytics Approach to Predict Water Quality Index 1 Introduction 2 Building IM12CP-WQI 2.1 Data Preprocess Stage 2.2 Determine Weights of Concentrations and Number of Model (DWM-Bat) 2.3 Develop MARS(DMARS) 2.4 Evaluation Stage 3 Experiment and Results 4 Discussion 5 Conclusions References Hybridized Deep Learning Model with Optimization Algorithm: A Novel Methodology for Prediction of Natural Gas 1 Introduction 2 Main Tools 2.1 Optimization Techniques [9–11] 2.2 Particle Swarm Optimization Algorithm (PSO) 2.3 Genetic Algorithm (GA) 2.4 Ant Lion Optimizer (ALO) 2.5 Gaining-Sharing Knowledge-Based Algorithm (GSK) [12, 16] 2.6 Prediction Techniques 2.7 The Decision Tree (DT) 2.8 Extra Trees Classifier (ETC) 2.9 Random Forest (RF) 2.10 Extreme Gradient Boosting (XGBoost) 3 Proposed Method (HPM-STG) 4 Results 4.1 Description of Dataset 4.2 Result of Preprocessing 4.3 Checking Missing Value [21] 4.4 Correlation [19, 20] 4.5 Results of DXGBoost-GSk 5 Conclusions References PMFRO: Personalized Men’s Fashion Recommendation Using Dynamic Ontological Models 1 Introduction 2 Related Works 3 Proposed System Architecture 4 Implementation and Performance Evaluation 5 Conclusion References Hybrid Diet Recommender System Using Machine Learning Technique 1 Introduction 2 Related Works 3 Proposed Methodology 3.1 Data Collection 3.2 Data Processing 4 Experimental Results and Discussion 4.1 Dataset 5 Conclusion References QG-SKI: Question Classification and MCQ Question Generation Using Sequential Knowledge Induction 1 Introduction 2 Related Work 3 Proposed System Architecture 4 Implementation, Results and Performance Evaluation 5 Conclusion References A Transfer Learning Approach to the Development of an Automation System for Recognizing Guava Disease Using CNN Models for Feasible Fruit Production 1 Introduction 2 Related Works 3 Methodology 3.1 Image Acquisition 3.2 Image Preprocessing 3.3 Model Description 4 Result and Discussion 4.1 Detailed of Environmental Setup 4.2 Experiment Result of Distinct Models 4.3 Comparative Analysis with Other Existing Works 5 Conclusion and Future Works References Using Intention of Online Food Delivery Services in Industry 4.0: Evidence from Vietnam 1 Introduction 2 Literature Review 2.1 Using Intention of Online Food Delivery Service (OFD) 2.2 Perceived Ease of Use (PEU) 2.3 Attitude (ATT) 2.4 Perceived Risk (PR) 2.5 Time Saving (TS) 2.6 Social Influence (SI) 3 Method 4 Results 4.1 Akaike Information Criterion (AIC) 4.2 Discussion 5 Conclusion References A Comprehensive Study and Understanding—A Neurocomputing Prediction Techniques in Renewable Energies 1 Introduction 2 Related Work 3 Theoretical Background 3.1 Multi Variant Analysis 3.2 Long Short-Term Memory Algorithm (LSTMA) 4 Methodology 4.1 Description of Dataset 4.2 Preprocessing the Data 4.3 Built in Parallel Multi Predictor 4.4 Performance Evaluation 5 Results and Discussion 6 Conclusion and Future Works References Predicting Participants' Performance in Programming Contests Using Deep Learning Techniques 1 Introduction 2 Literature Review 2.1 Academic Performance Prediction 2.2 Contest Performance Prediction 3 Proposed System 3.1 Dataset Collection 3.2 Frameworks 3.3 Models Configuration 4 Experiment and Result Discussion 4.1 Evaluation Metrics 4.2 Experimental Results 5 Discussion 6 Conclusion and Future Work References Fuzzy Kernel Weighted Random Projection Ensemble Clustering For High Dimensional Data 1 Introduction 2 Proposed Approach 2.1 Brief Overview 2.2 Kernel Fuzzy C-Means (KFCM) 2.3 Ensemble Generation Process 2.4 Consensus Clustering 3 Experiments 3.1 Synthetic Datasets 3.2 Evaluation Metrics 3.3 Comparison With The State of-Art Methods 3.4 Execution Time 4 Conclusion References A Novel Lightweight Lung Cancer Classifier Through Hybridization of DNN and Comparative Feature Optimizer 1 Introduction 2 Literature Review 3 Methodology 3.1 Dataset and Preprocessing 3.2 Feature Extraction 3.3 Comparative Feature Optimizer 3.4 Network Architecture and Optimization 4 Experimental Results and Evaluation 5 Conclusion and Discussion References A Smart Eye Detection System Using Digital Certification to Combat the Spread of COVID-19 (SEDDC) 1 Introduction 2 Related Work 3 The Proposed Mobile Application 3.1 Software Architecture 3.2 Application Features 3.3 Eye Detection Algorithm 3.4 Application Scenario 4 Limitation and Challenges 5 Conclusions References Hyperspectral Image Classification Using Denoised Stacked Auto Encoder-Based Restricted Boltzmann Machine Classifier 1 Introduction 2 Literature Survey 3 Proposed Method 3.1 Band Selection Segmentation 3.2 Classification 4 Results and Discussions 5 Conclusions References Prediction Type of Codon Effect in Each Disease Based on Intelligent Data Analysis Techniques 1 Introduction 2 Related Work 3 Theoretical Background 3.1 Fast Frequency Sub-graph Mining Algorithm (FFSMA) 3.2 Feature Selection 3.3 Deep Prediction Neuro Computing Techniques 4 Proposed Method 4.1 Step of Proposed Method 4.2 Data Preprocessing (Feature Selection) 4.3 Selecting Different Records 5 Results and Discussion 6 Conclusion References A Machine Learning-Based Traditional and Ensemble Technique for Predicting Breast Cancer 1 Introduction 2 Related Works 3 Classifier and Ensemble Models 3.1 Random Forest 3.2 Gradient Boosting 4 Research Methodology 5 Experimental Results 6 Conclusion and Future Work References Recommender System for Scholarly Articles to Monitor COVID-19 Trends in Social Media Based on Low-Cost Topic Modeling 1 Introduction 2 Overview 2.1 Social Network Analysis for Crisis Management 2.2 Scholarly Paper Recommendation 3 Proposed Approach 3.1 Multilingual Topic Modelling 3.2 Search Engine-Based Recommendation 4 Conclusion and Future Works References Statistical and Deep Machine Learning Techniques to Forecast Cryptocurrency Volatility 1 Introduction 2 Problem Description 3 Methodology and Experimentation 4 Results 5 Conclusions References I-DLMI: Web Image Recommendation Using Deep Learning and Machine Intelligence 1 Introduction 2 Related Works 3 Proposed System Architecture 4 Implementation 5 Results and Performance Evaluation 6 Conclusions References Uncertain Configurable IoT Composition With QoT Properties 1 Introduction 1.1 Motivation Scenario 2 Background 2.1 Quality-of-Things Model 2.2 Configurable IoT Composition and Workflow Patterns 3 State of the Art 4 Configurable Composition Based QoT with Uncertainty Awareness 4.1 Overview Of The QoT-Composition Architecture 4.2 The Composition Patterns Definition 4.3 QoT Probability Aggregation Formulas for Composition Patterns 5 Conclusion References SR-Net: A Super-Resolution Image Based on DWT and DCNN 1 Introduction 2 Background 2.1 Single Image Super-Resolution 2.2 Discrete Wavelet Transform 3 State of the Art 4 Proposed Method 5 Experimental Results 6 Conclusion References Performance of Sine Cosine Algorithm for ANN Tuning and Training for IoT Security 1 Introduction 2 Preliminaries and Related Works 2.1 Tuning the Parameters of an Artificial Neural Networks 2.2 Swarm Intelligence 3 Proposed Method 3.1 Basic SCA 3.2 Solution Encoding 4 Experimental Findings and Discussion 4.1 Datasets 4.2 Experimental Setup 4.3 Experimental Results 5 Conclusion References A Review of Deep Learning Techniques for Human Activity Recognition 1 Introduction 2 Methodology and Paper Selection 3 Review of Literature 3.1 Daily and Sports Related Action Recognition 3.2 Surveillance 3.3 Sign Language Recognition 4 Challenges in HAR and Research Directions 5 Conclusion References Selection of Replicas with Predictions of Resources Consumption 1 Introduction 2 Replica Selection 3 Instance Generator 4 Computational Experiments 5 Conclusions References VGATS-JSSP: Variant Genetic Algorithm and Tabu Search Applied to the Job Shop Scheduling Problem 1 Introduction 2 Related Work 3 Job Shop Scheduling Problem 4 Genetic Algorithm and Tabu Search to Solve Job Shop Scheduling Problem 4.1 Genetic Algorithm 4.2 Tabu Search 4.3 Genetic Algorithms for Job Shop Scheduling Problem 4.4 Tabu search for Job Shop Scheduling Problem 5 Benchmarks and Results 5.1 Benchmarks 5.2 Results 6 Conclusion References Socio-fashion Dataset: A Fashion Attribute Data Generated Using Fashion-Related Social Images 1 Introduction 2 Data Description 2.1 Data Collection 2.2 Data Statistics 3 Data Analysis 4 Data Applications 5 Background 6 Conclusion References Epileptic MEG Networks Connectivity Obtained by MNE, sLORETA, cMEM and dsPM 1 Introduction 2 Materials and Methods 3 Conclusion and Discussion References Human Interaction and Classification Via K-ary Tree Hashing Over Body Pose Attributes Using Sports Data 1 Introduction 2 Related Work 3 Design and Method 3.1 Preprocessing 3.2 Human Detection 3.3 Body Pose Estimation 3.4 Machine Learning-Based Features 3.5 Data Optimization and Classification 4 Experimental Settings and Evaluation 5 Conclusion References Bi-objective Grouping and Tabu Search 1 Introduction 2 The Problem 2.1 Algorithm Description 3 Model 3.1 Formulation 3.2 Tabu Search Proposal 3.3 Data Structures 4 Algorithm 4.1 Neighborhood Function 4.2 Results 5 Conclusions References Evacuation Centers Choice by Intuitionistic Fuzzy Graph 1 Introduction 2 Preliminaries 3 Antibase Set 4 Method for Finding Minimal Intuitionistic Fuzzy Antibases 5 Example 6 Conclusion and Future Scope References Movie Sentiment Analysis Based on Machine Learning Algorithms: Comparative Study 1 Introduction 2 State of the Art 3 Methodology 4 Preprocessing Step 5 Machine Learning Algorithms 5.1 Data Set 5.2 Metrics of evaluation 5.3 Machine Learning Algorithms 6 Comparison 6.1 Kappa 6.2 Accuracy 7 Conclusion References Fish School Search Algorithm for Constrained Optimization 1 Introduction 2 Fish Schooling Inspired Search Procedures 2.1 Fish School Search Algorithm 2.2 Weight-Based Fish School Search Algorithm 3 rwFSS 4 Experiments 5 Conclusion References Text Mining-Based Author Profiling: Literature Review, Trends and Challenges 1 Introduction 2 Text Mining-Based Author Profiling Main Approaches 2.1 Linguistic Approach 2.2 Statistical Approach 2.3 Hybrid Approach 3 Summary and Discussion 4 Conclusion References Prioritizing Management Action of Stricto Sensu Course: Data Analysis Supported by the k-means Algorithm 1 Introduction 2 Proposed Methodology 3 Experimental Results 3.1 General Data 3.2 K-means Clustering 4 Final Considerations References Prediction of Dementia Using SMOTE Based Oversampling and Stacking Classifier 1 Introduction 2 Literature Review 3 Methodology 3.1 Preprocessing of Dataset 3.2 EDA on Dataset 3.3 Use of SMOTE 3.4 ML Classifiers for Classification 4 Result and Discussion 5 Conclusion References Sentiment Analysis of Real-Time Health Care Twitter Data Using Hadoop Ecosystem 1 Introduction 1.1 Social Networking and Smart Solutions 2 Background and State of the Art 3 Design Methodology 3.1 Flume Collection of Tweets from Twitter 3.2 Feature Extraction and Extraction of Hashtags 3.3 Sentiment Analysis 3.4 Extracting the Tweets 3.5 Tokenizing the Tweets 3.6 Sentiment Word Detection and Classification of Tweets 4 Simulated Results 4.1 Loading the Tweets and Feature Extraction 5 Conclusion References A Review on Applications of Computer Vision 1 Introduction 2 Computer Vision Applications 2.1 Astronomy 2.2 Medical Science 2.3 Food Grains 2.4 Manufacturing 2.5 Autonomous Vehicles 3 Limitations and Challenges 4 Conclusion References Analyzing and Augmenting the Linear Classification Models 1 Introduction 2 The Concept of Distance 2.1 Definition of Metric 3 Metric on Linear Space 3.1 Normal Linear Space 3.2 Metric Structure Concept 4 Different Types of Points in Metric Structure 4.1 Connectedness 5 The Two-Variable Linear Model 6 Case Study: Learning Disability 6.1 Data Collection 6.2 Implementation and Results 7 Conclusion 7.1 The Linear Regression Model 7.2 Numeric Prediction: Linear Regression 7.3 Linear Classification: Logistic Regression References Literature Review on Recommender Systems: Techniques, Trends and Challenges 1 Introduction 2 Recommender System Main Approaches 2.1 Collaborative-Filtering Based Approaches 2.2 Content-Based Filtering 2.3 Hybrid Filtering 3 Discussion 3.1 Cold-Start Problem 3.2 Sparsity Problem 3.3 Scalability 3.4 Approaches Evaluation 4 Conclusion References Detection of Heart Diseases Using CNN-LSTM 1 Introduction 2 Proposed Work 2.1 Pre-processing 2.2 Signal Segmentation 2.3 Features Extraction 2.4 Deep Neuronal Network (DNN) 3 Experimental Results 3.1 Database 3.2 Results and Discussion 4 Conclusion References Incremental Cluster Interpretation with Fuzzy ART in Web Analytics 1 Introduction 2 Fuzzy ART 3 Proposed Methodology 4 Experimental Case Study 4.1 Data Structure 4.2 Comparison of Data Structures 4.3 Findings 5 Conclusion References TURBaN: A Theory-Guided Model for Unemployment Rate Prediction Using Bayesian Network in Pandemic Scenario 1 Introduction 2 Related Works 3 Proposed Model: TURBaN 3.1 Missing Value Handling 3.2 Temporal Dis-Aggregation and Interpolation 3.3 Multivariate Modeling of Unemployment Rate Tme Series 3.4 Prediction 4 Experimentation 4.1 Study Area and Datasets 4.2 Baselines and Experimental Set-up 4.3 Performance Metrics 4.4 Results and Discussions 5 Conclusions References Pre-training Meets Clustering: A Hybrid Extractive Multi-document Summarization Model 1 Introduction 2 Background 3 Methodology 3.1 Extracting the Key Texts from Each Document Using the T5 Pre-trained Transformer Model 3.2 Extracting the Salient Texts Using the K-Means Clustering Strategy with the Help of Key Texts Extracted in the Above Section 3.3 Final Summary Generation 4 Results and Evaluation 4.1 Dataset Used 4.2 Performance Evaluation Metrics 4.3 Discussion on Results 5 Conclusion References GAN Based Restyling of Arabic Handwritten Historical Documents 1 Introduction 2 Generative Adversarial Networks 3 Related Works 4 Proposed Framework 4.1 Data Collection 4.2 Data Pre-processing 4.3 Cycle GAN-Based Restyling 4.4 Arabic Data Extraction 5 Experiments 6 Conclusion References A New Filter Feature Selection Method Based on a Game Theoretic Decision Tree 1 Introduction 2 A Game Based Decision Tree for Feature Selection (G-DTfs) 2.1 Game Based Data Split at Node Level 2.2 Assigning Attribute's Importance for Feature Selection 3 Numerical Experiments 3.1 Experimental Set-Up 3.2 Numerical Results 4 Conclusions References Erasable-Itemset Mining for Sequential Product Databases 1 Introduction 2 Related Works 3 Problem Definition 4 The Proposed Algorithm 5 Experiments 6 Conclusions and Future Work References A Model for Making Dynamic Collective Decisions in Emergency Evacuation Tasks in Fuzzy Conditions 1 Introduction 2 Evacuation Planning 3 Definition of Fuzzy Conditions and Analysis of Existing Solutions 4 Dynamic Decision Making Model 5 Algorithm for Making Dynamic Decisions 6 Experimental Part of the Study 7 Conclusion References Conversion Operation: From Semi-structured Collection of Documents to Column-Oriented Structure 1 Introduction 1.1 Related Works 2 Formal Model of the Conversion Operation 2.1 Conversion Rules 2.2 Conversion Operation Algorithm 3 Experiments 3.1 Experimental Protocol 3.2 A New Component with Talend for Big Data 3.3 Evaluation of the Conversion Process 4 Conclusion References Mobile Image Compression Using Singular Value Decomposition and Deep Learning 1 Introduction 2 Performance Parameters 2.1 Compression Ratio (CR) 2.2 Mean Square Error (MSE) 2.3 Peak Signal to Noise Ratio (PSNR) 3 Theory 3.1 Singular Value Decomposition 3.2 ResNet-50 4 Literature Survey 5 The Dataset 6 Methodology 6.1 Relation between Energy Versus Rank Graph and The Number of Focal Points 6.2 Use of ResNet-50 to Predict the Rank 7 Results and Discussions 8 Conclusion and Future work References Optimization of Traffic Light Cycles Using Genetic Algorithms and Surrogate Models 1 Introduction 2 The Scheduling Traffic Lights Problem 3 Experimental Methodology 3.1 Dataset 3.2 Surrogate Models 3.3 Model Selection 3.4 Integration in the Genetic Algorithm 4 Experimental Results 4.1 Dataset 4.2 Model Selection 4.3 Models Integration into Genetic Algorithm 5 Conclusions and Future Works References The Algorithm of the Unified Mechanism for Encoding and Decoding Solutions When Placing VLSI Components in Conditions of Different Orientation of Different-Sized Components 1 Introduction 2 Optimal Search Criteria 3 Encoding and Decoding Mechanism 4 Example of the Encoding and Decoding Mechanism 5 Conclusion References Machine Learning-Based Social Media Text Analysis: Impact of the Rising Fuel Prices on Electric Vehicles 1 Introduction 2 Related Work 2.1 EVs Related Researches 2.2 Machine Learning Methods 3 Materials and Method 3.1 Data Collection 3.2 Data Preprocessing 3.3 ML Classification Methods 4 Models Evaluation Metrics 5 Performance Evaluation 6 Conclusion References MobileNet-Based Model for Histopathological Breast Cancer Image Classification 1 Introduction 2 Related Works 3 System Overview 3.1 BreakHis Histopathological Breast Cancer Dataset 3.2 Data Augmentation 3.3 System Architecture 4 Experiment Results 5 Conclusion References Investigating the Use of a Distance-Weighted Criterion in Wrapper-Based Semi-supervised Methods 1 Introduction 2 Related Work 3 The Proposed Approach 3.1 Distance-Weighted Criterion (DwC) 3.2 Distance-weighted Criterion-Confidence (DwC-C) 3.3 Distance-Weighted Criterion-Agreement (DwC-A) 4 Experimental Methodology 5 Experimental Results 5.1 Experimental Results—First Analysis 5.2 Experimental Results—Second Analysis 6 Final Remarks References Elections in Twitter Era: Predicting Winning Party in US Elections 2020 Using Deep Learning 1 Introduction 2 Related Work 3 Proposed Framework 4 Experimental Setup 4.1 Data Preprocessing 4.2 Bidirectional LSTM Classifier 4.3 VADER Algorithm for Sentiment Analysis 4.4 Hybrid CNN-LSTM Classifier 4.5 GRU Classifier 4.6 Performance Measures 5 Experimental Results 6 Conclusion References Intuitionistic Multi-criteria Group Decision-Making for Evacuation Modelling with Storage at Nodes 1 Introduction 2 Basic Concepts and Definitions of Intuitionistic Fuzzy Sets 3 Emergency Evacuation in Fuzzy Environment 3.1 MAGDM Algorithm in Intuitionistic Environment for Ranking the Shelters for Evacuation 3.2 Emergency Evacuation Based on the Maximum Dynamic Flow Finding 4 Case Study 5 Conclusion and Future Study References Task-Cloud Resource Mapping Heuristic Based on EET Value for Scheduling Tasks in Cloud Environment 1 Introduction 1.1 Scheduling of Tasks 2 Heuristic Algorithms 3 TCRMEET Algorithm 3.1 An Illustration 4 Results and Discussion 5 Conclusion and Future Work References BTSAH: Batch Task Scheduling Algorithm Based on Hungarian Algorithm in Cloud Computing Environment 1 Introduction 1.1 Literature Review 2 BTSAH Algorithms 3 Results and Discussion 4 Conclusion and Future Work References IoT Data Ness: From Streaming to Added Value 1 Introduction 2 Architectures for Data Management 3 Data Observability Challenges within IIoT Data Management 4 An Intelligible Data Mesh Based Architecture for IIoT Environments 5 Conclusions and Future Work References Machine Learning-Based Social Media News Popularity Prediction 1 Introduction 2 Related Works 2.1 Predicting Popularity on Social Media News 2.2 Predicting Fake News on Social Media 3 Proposed System 3.1 Dataset Collection and Preprocessing 3.2 Applied Frameworks 3.3 Models' Configuration 4 Experiment and Result Analysis 4.1 Experiment Setup 4.2 Features Selection 4.3 Experiment Result 5 Conclusion and Discussion References Hand Gesture Control of Video Player 1 Introduction 1.1 Need for Hand Gesture Control 2 Design/Implementation 2.1 Design Approach 2.2 Economic Feasibility 2.3 Technical Feasibility 2.4 Operational Feasibility 3 System Specifications 3.1 Hardware Specifications 3.2 Software Specifications 4 Results and Discussions 5 Conclusion References Comparative Analysis of Intrusion Detection System using ML and DL Techniques 1 Introduction 2 Literature Survey 3 Methodology 3.1 Data Pre-processing 3.2 Best Feature Selection 3.3 Machine Learning Models 3.4 Why Ensemble Learning? 4 Experiments and Analysis 4.1 Training with Selected K Features 4.2 Result and Analysis 5 Conclusion and Future Work References A Bee Colony Optimization Algorithm to Tuning Membership Functions in a Type-1 Fuzzy Logic System Applied in the Stabilization of a D.C. Motor Speed Controller 1 Introduction 2 Related Works 3 Bee Colony Optimization Algorithm 4 Fuzzy Logic Controller Problem 5 Proposed Design of the T1FLS 5.1 State of the Art for the T1FLS 5.2 Proposed Design of the T1FLS 6 Results in the Experimentation 7 Conclusions References Binary Classification with Genetic Algorithms. A Study on Fitness Functions 1 Introduction and Problem Statement 2 Proposed Method—Genetic Algorithm 3 Numerical Experiments 4 Conclusions and Further Work References SA-K2PC: Optimizing K2PC with Simulated Annealing for Bayesian Structure Learning 1 Introduction 2 Theoretical Background 2.1 BN Structure Learning 2.2 K2PC Algorithm 2.3 Simulated Annealing 3 Proposed SA-K2PC 4 Experimental Results and Evaluation 4.1 Used Reference Networks 4.2 Structural Difference Based Evaluation 4.3 Effectiveness Evaluation 5 Conclusion References A Gaussian Mixture Clustering Approach Based on Extremal Optimization 1 Introduction 2 Noisy Extremal Optimization—GM 2.1 Gaussian Mixture Model 2.2 Noisy Extremal Optimization Gaussian Mixture 2.3 Noise 3 Numerical Experiments 4 Conclusions References Assessing the Performance of Hospital Waste Management in Tunisia Using a Fuzzy-Based Approach OWA and TOPSIS During COVID-19 Pandemic 1 Introduction 2 Related Works 3 The Proposed Approach 3.1 Fuzzy Ordered Weighted Average (OWA) Approach 3.2 Fuzzy Technique for the Order of Preference by Similarity of Ideal Solution (TOPSIS) Approach 3.3 HCWM Organization Flowchart 4 Case Study 4.1 Selection of Criteria 4.2 Final Weight of the Criteria 4.3 Calculation of the HOSPITAl’s HCWM Index Using the Confusing TOPSIS or TOPSIS Model 5 Analysis and Discussion of Results 6 Conclusion References Applying ELECTRE TRI to Sort States According the Performance of Their Alumni in Brazilian National High School Exam (ENEM) 1 Introduction 2 Methodology 3 Modelling and Results 3.1 To Define the Object of Study 3.2 To Elicit the Criteria Set 3.3 To Define the Criteria Weights 3.4 To Define the Elements to Be Sorted 3.5 To Evaluate the Alternatives Under Each Criterion 3.6 To Define the Categories or Groups Into which the 27 States Should Be Sorted 3.7 To Define the Profiles that Delimits Each Category 3.8 To Have the Brazilian States Sorted 4 Conclusion 5 Appendix References Consumer Acceptance of Artificial Intelligence Constructs on Brand Loyalty in Online Shopping: Evidence from India 1 Introduction 2 Literature Review 2.1 Relation of Perceived Ease of Use, Trust and Experience on Brand Loyalty in Online Shopping 3 H1: Perceived Ease of Use Has a Significant Positive Effect on Brand Loyalty 4 H2: Experience Has a Significant Positive Effect on Brand Loyalty 5 H3: Trust Has a Significant Positive Effect on Brand Loyalty 5.1 Research Methodology 6 Analysis 7 Results and Discussion 8 Conclusion References Performance Analysis of Turbo Codes for Wireless OFDM-based FSO Communication System 1 Introduction 2 System Model 3 Channel Model 4 Simulation Results 5 Conclusion References Optimal Sizing and Placement of Distributed Generation in Eastern Grid of Bhutan Using Genetic Algorithm 1 Introduction 2 Problem Formulation 2.1 Load Flow Equation 2.2 Optimal DG Allocation 3 Optimization 3.1 Genetic Algorithm 3.2 Optimal Allocation of Distributed Generation (Mathematical Model) 3.3 Impacts of Distributed Generation on Distribution Network 4 Optimization 4.1 Load Flow Analysis of Eastern Grid of Bhutan 4.2 Case 1: With 4 DGs 4.3 Case 2: With 5 DGs 5 Conclusion References ANN Based MPPT Using Boost Converter for Solar Water Pumping Using DC Motor 1 Introduction 2 Configuration of System 3 Design of SPV Array 4 PID Controller and PWM Generator 5 Boost Converter Design 6 Neural Nework 7 Training of Neural Network 8 Result and Discusssion 9 Conclusion References Sentiment Analysis from TWITTER Using NLTK 1 Introduction 1.1 1.1. SENTIMENT ANALYSIS 1.2 Natural Language Processing Approach 2 Relevant Study 3 Proposed Method 3.1 Data Collection 4 Data Processing 5 Data Extraction 6 Experimental Results 7 Conclusion References Cardiac Anomaly Detection Using Machine Learning 1 Introduction 2 Relevant Study 3 Proposed methods 4 Experimental Results 5 Conclusion References Toxic Comment Classification 1 Introduction 2 Relevant Study 3 Proposed Methodology 3.1 Dataset 3.2 Type of Machine Learning Problem 3.3 Performance Metric 3.4 Machine Learning Objectives and Constraints 4 Experimental Results 5 Conclusion References Topic Modeling Approaches—A Comparative Analysis 1 Introduction 2 Research Methodology 2.1 Research Questions 2.2 Search Strategy 2.3 Search Results 3 Analysis of Topic Modeling Approach 3.1 Topic Modeling in Sentiment Analysis 3.2 Topic Modeling in Scientific Research 3.3 Topic Modeling in Bioinformatics 3.4 Topic Modeling in Software Engineering 4 Discussion and Future Directions 5 Conclusion References Survey on Different ML Algorithms Applied on Neuroimaging for Brain Tumor Analysis (Detection, Features Selection, Segmentation and Classification) 1 Introduction 1.1 A Subsection Sample 2 Significance of ML in Neuroimaging 3 Conclusion References Visual OutDecK: A Web APP for Supporting Multicriteria Decision Modelling of Outranking Choice Problems 1 Introduction 2 Background 2.1 The Choice Outranking Problem 2.2 The ELECTRE I 3 The Visual Outdeck Interface 3.1 Example's Parameters 3.2 The Initial Screen of OutDecK 4 Conclusion References Concepts for Energy Management in the Evolution of Smart Grids 1 Introduction 2 Smart Grids Concepts and Challenges 3 Smart Grid Integration with Electric Vehicles 4 Outcome References Optimized Load Balancing and Routing Using Machine Learning Approach in Intelligent Transportation Systems: A Survey 1 Introduction 2 Related Works 3 Research Articles for Study 4 Conclusion References Outlier Detection from Mixed Attribute Space Using Hybrid Model 1 Introduction 2 Inter Quarter Range (IQR) 2.1 Related Work 3 Algorithm Hybrid Inter Quartile Range (Hybrid IQR) 4 Experimental Results 5 Conclusion 6 Future Scope References An ERP Implementation Case Study in the South African Retail Sector 1 Introduction 1.1 Problem Statement 2 Literature Review 2.1 Research Methodology 2.2 SAP ERP Modern Business Process Model 2.3 Prototype of an ERP System: Using Java Scrip Web Responses 3 Conclusion References Analysis of SARIMA-BiLSTM-BiGRU in Furniture Time Series Forecasting 1 Introduction 2 Literature survey 3 Proposed work 3.1 SARIMA 4 Dataset 4.1 Training Phase 4.2 Testing Phase 5 Results and Discussion 5.1 Settings 5.2 Evaluation Parameters 6 Conclusion and Future Work References VANET Handoff from IEEE 80.11p to Cellular Network Based on Discharging with Handover Pronouncement Based on Software Defined Network (DHP-SDN) 1 Introduction 2 Related Works 3 SDN-VANET Architecture and Issues 3.1 SDN-VANET Based Architecture 3.2 SDN-VANET Architectural Issues 4 Regulator Contrivances 4.1 Offloading Decision Making and Evaluation of Stay Time 5 Proposed Handoff Scheme 6 Performance Analysis 6.1 Result Analysis 7 Conclusion References An Automatic Detection of Heart Block from ECG Images Using YOLOv4 1 Introduction 2 Related Researches 3 Materials and Methods 3.1 Dataset 3.2 Pre-processing 3.3 Train-Test Split 3.4 Detection Using YOLOv4 4 Result and Observation 4.1 Model Selection 4.2 Model Evaluation 5 Conclusion and Future Work References Attendance Automation System with Facial Authorization and Body Temperature Using Cloud Based Viola-Jones Face Recognition Algorithm 1 Introduction 2 Literature Survey 3 Proposed Work 3.1 Data Collection 3.2 Data Preparation 4 Face Recognition 4.1 Attendance Marking 4.2 User Interface 5 Experimental Results and Discussion 6 Conclusion References Accident Prediction in Smart Vehicle Urban City Communication Using Machine Learning Algorithm 1 Introduction 2 Related Work 3 Proposed System 3.1 Random Forest Approach 3.2 Proposed Approach 4 Results and Discussions 5 Correlation of Diver and Drivers Age 6 Conclusions References Analytical Study of Starbucks Using Clustering 1 Introduction 2 Literature Review 3 Research Methodology 4 Results and Discussions 5 Conclusions References Analytical Study of Effects on Business Sectors During Pandemic-Data Mining Approach 1 Introduction 2 Background 3 Research Methodology 4 Results and Discussion 5 Conclusions References Financial Big Data Analysis Using Anti-tampering Blockchain-Based Deep Learning 1 Introduction 2 Background 3 Proposed Method 3.1 Feature Extraction: 3.2 Anti-tampering Model 3.3 Deep Learning-Based BC Transaction 4 Results and Discussions 5 Conclusions References A Handy Diagnostic Tool for Early Congestive Heart Failure Prediction Using Catboost Classifier 1 Introduction 2 Literature Survey 3 Proposed Methodology 3.1 Dataset Collection 3.2 Data Analyzing 3.3 Feature Selection and Exploratory Data Analysis 3.4 Fitting into the Model 4 Results and Discussion 5 User Interface 6 Conclusion References Hybrid Convolutional Multilayer Perceptron for Cyber Physical Systems (HCMP-CPS) 1 Introduction 2 Literature Survey 3 Hybrid Convolutional Multilayer Perceptron for Cyber Physical Systems (HCMP-CPS) Model 3.1 Dataset 3.2 Data Pre-processing 3.3 Exploratory Data Analysis 3.4 Data Splitting 3.5 Hybrid Model Creation 4 Results and Discussion 5 Conclusion References Information Assurance and Security Deployment of Co-operative Farming Ecosystems Using Blockchain 1 Introduction 1.1 Blockchain 1.2 Consensus Algorithms 1.3 Related Work 1.4 Motivation and Contribution 2 The Proposed System 3 Implementation Using Smart Contract 3.1 Solidity 3.2 Truffle and Ganache 3.3 Code Analysis 3.4 Results 4 Advantages of Our Solution 5 Conclusion References Bayesian Consideration for Influencing a Consumer's Intention to Purchase a COVID-19 Test Stick 1 Introduction 2 Literature Review 2.1 Perceived usefulness (PU) 2.2 Price Expectations (PE) 2.3 Satisfaction (SAT) 2.4 Global Pandemic Impact (GPI) 2.5 Perceived Risk (PR) 3 Methodology 3.1 Sample Size 3.2 Bayesian Information Criteria 4 Results 4.1 Reliability Test 4.2 BIC Algorithm 4.3 Model Evaluation 5 Conclusions References Analysis and Risk Consideration of Worldwide Cyber Incidents Related to Cryptoassets 1 Introduction 2 Analysis 2.1 Classification Methodology 2.2 Classification of Incidents 3 Results 3.1 Total Number of Incidents and Total Economic Damage 3.2 Classification by the Object of Damage 3.3 Classification by the Cause of Damage 4 Discussion 5 Conclusion References Authenticated Encryption Engine for IoT Application 1 Introduction 2 Related Work 3 Overview of Lightweight Encryption and Authentication Algorithm 3.1 Authenticated Encryption in Encrypt then MAC Mode 3.2 PRESENT Lightweight Encryption Algorithm 3.3 SPONGENT Lightweight Hashing Algorithm 4 Proposed Design for Implementation of AE 4.1 Proposed Design for Authenticated Encryption (AE) 4.2 Description of PRESENT Encryption Algorithm FSM 4.3 Description of SPONGENT Lightweight Hashing Algorithm FSM 5 Results 6 Conclusion References Multi-layer Intrusion Detection on the USB-IDS-1 Dataset 1 Introduction 2 Related Works 3 Methods 3.1 Logistic Regression 3.2 Random Forest 3.3 Catboost 4 Datasets and Experimental Results 4.1 Dataset 4.2 Experimental Results 5 Conclusions References Predictive Anomaly Detection 1 Introduction 2 Adaptive Anomaly Detection 3 Anomaly Detection Based on Time Series Forecasting 3.1 Time Series Forecasting 3.2 Expanding Windows 3.3 Threshold-Based Anomaly Detection 4 Assessment 5 Related Work 6 Conclusion References Quantum-Defended Lattice-Based Anonymous Mutual Authentication and Key-Exchange Scheme for the Smart-Grid System 1 Introduction 2 Related Work 3 Preliminaries 3.1 Lattice-Based Cryptography 3.2 System Model 4 Proposed Work 4.1 System Setup 4.2 Registration 4.3 Mutual Authentication and Key-Exchange (MAKE) 5 Security Analysis 6 Conclusion References Intelligent Cybersecurity Awareness and Assessment System (ICAAS) 1 Introduction 2 Related Work 3 Challenges 4 ICAAS: Proposal and Mechanism 4.1 Data Acquisition 4.2 Psyber-Security 4.3 Security Recommender 4.4 Supplies Recommender 5 Experimental Evaluation 6 Conclusion and Future Work References A Study on Written Communication About Client-Side Web Security 1 Introduction 2 Background 2.1 Advantages and Misconceptions of the HTTPS Protocol 2.2 End User Cybersecurity Behavior 3 Materials and Methods 3.1 Data Sources 3.2 Analysis 4 Results 4.1 Issues with Terminology 4.2 Problems with Guidance 5 Discussion 5.1 Theoretical and Practical Implications 5.2 Limitations and Future Work 6 Conclusion References It's All Connected: Detecting Phishing Transaction Records on Ethereum Using Link Prediction 1 Introduction 2 Related Works 3 Methodology 3.1 Problem Definition 3.2 Proposed Phishing Detection Framework 4 Research questions and Experimental Setup 4.1 Research questions 5 Results 5.1 Comparing The Proposed Model with State-Of-The-Art Baselines (RQ1) 5.2 Alternative Technical Options for The Proposed Link Prediction Model (RQ2) 5.3 Feature Importance (RQ3) 5.4 Limitations 6 Conclusion and Future Work References An Efficient Deep Learning Framework FPR Detecting and Classifying Depression Using Electroencephalogram Signals 1 Introduction 1.1 Key Highlights 2 Literature Review 3 Methodology 4 Result 5 Conclusion References Comparative Study of Compact Descriptors for Vector Map Protection 1 Introduction 2 The Ramer-Douglas-Peucker Algorithm and Its Modification 2.1 Description of Algorithms 2.2 Comparative Study of the Original and Modified Algorithm 3 Description of the Compact Descriptors to be Analyzed 4 Experimental Investigation 4.1 Map Transformations 4.2 Summary of the Obtained Results 4.3 Detailed Results for Descriptor 2 5 Conclusion References DDoS Detection Approach Based on Continual Learning in the SDN Environment 1 Introduction 2 Related Works 3 Proposed System 3.1 Notation 3.2 Dataset Creation 3.3 Dataset Effectiveness 4 Case Study 4.1 Dataset Creation 4.2 Dataset Effectiveness 5 Conclusion References Secure e-Voting System—A Review 1 Introduction 1.1 Cryptography 1.2 e-Voting System 1.3 e-Voting System Security Requirements 2 Related Work 2.1 Possible Attacks in e-Voting Systems 2.2 Cryptographic Techniques Used to Secure the e-Voting System 2.3 Comparison of Related Literature Based on the Security Requirements References Securing East-West Communication in a Distributed SDN 1 Introduction 2 Related Work 3 Proposed Solution 3.1 The Principal Idea 3.2 Mining Decision Process 3.3 The Reputation Process 4 Evaluation 4.1 Algorithm Mining Process 4.2 Evaluation Results 5 Conclusions References Implementing Autoencoder Compression to Intrusion Detection System 1 Introduction 2 Previous Works 3 Autoencoder for IDS 3.1 Preprocessing 3.2 Autoencoder Process 3.3 Evaluation Process 4 Experimental Result 4.1 Compression 4.2 Overall Performance 5 Conclusion References Secure East-West Communication to Authenticate Mobile Devices in a Distributed and Hierarchical SDN 1 Introduction 2 Related Work 3 The Proposed Approach 3.1 Overview 3.2 The Proposed Approach 4 Performance Evaluation 4.1 Analytical Evaluation 4.2 Experimentation 5 Conclusion References Cyber Security Issues: Web Attack Investigation 1 Introduction 2 Background 2.1 Web Attacks and Security Risks 2.2 Web Security Resistance Strategies 2.3 Machine Learning Task in Web Attack 2.4 Methods for Identifying Web Attacks 3 Research Issues and Future Directions 3.1 Hybrid Learning Scheme 3.2 Generalized Strategy for Web Attacks Detection 3.3 Analysis in Intrusion Detection Solutions 3.4 Proposed Technique to Solve Attack 3.5 Experiment Benchmarks 3.6 Experiment Results 4 Discussion 5 Conclusion References Encrypting the Colored Image by Diagonalizing 3D Non-linear Chaotic Map 1 Introduction 2 Literature Review 3 Proposed Chaos System 4 Diagonalizing of the Proposed Chaotic Map 5 Encryption and Decryption Algorithms 5.1 The Image Encryption Algorithm (IEA) 5.2 The Image Decryption Algorithm (IDA) 6 Results and Analysis 7 Security Analysis 7.1 The Key Size 7.2 The Sensitivity Analysis of the Secret Keys 7.3 Analyzing the Correlation of Adjacent Pixels 7.4 Peak Signal-to-Noise Ratio (PSNR) Analysis 8 Conclusion References Study of Third-Party Analytics Services on University Websites 1 Introduction 2 Setting of the Study 3 Results 4 Discussion 5 Conclusions References A Systematic Literature Review on Security Aspects of Virtualization 1 Introduction 1.1 Cloud Computing 2 Research Goals and Research Questions 2.1 Research Goal 2.2 Research Questions 3 Research Methodology 3.1 Inclusion Criteria 3.2 Exclusion Criteria 4 Results and Discussion 4.1 Administrative Aspects 4.2 Technical Aspects 4.3 Mitigation Measures 4.4 Proposed Model 5 Related Works 6 Conclusions and Future Works References Detection of Presentation Attacks on Facial Authentication Systems Using Intel RealSense Depth Cameras 1 Introduction 2 Related Works 3 Dataset Preparation 4 Features Used for Liveness Detection 5 Experiments and Discussion 5.1 Experimental Conditions 5.2 Source vs. Normalized Depth Data 5.3 Fast Calculation of Features Inside of the Face Oval 5.4 Dependence of the Distance to the Object on Detection Quality 5.5 Feature Check on the WMCA Dataset 6 Conclusion References Big Data Between Quality and Security 1 Introduction 2 Big Data Quality 2.1 Quality Concept in the Big Data Context 2.2 Big Data Quality Challenges 3 Big Data Security 4 Big Data Between Quality and Security 4.1 The Conflict Between Quality and Security 4.2 Quality at the Service of Security in Big Data 4.3 Security at the Service of Quality in Big Data 5 An AI-Based Approach to Manage Quality and Security of Data in the Big Data Context 5.1 Data Preprocessing 5.2 Machine Learning Algorithms Used 5.3 Results and Discussion 6 Conclusion References Learning Discriminative Representations for Malware Family Classification 1 Introduction 2 Related Work 2.1 Static Analysis 2.2 Dynamic Analysis 3 Methodology 3.1 Program Behaviour 3.2 Graph Modelling of Program Behaviour 3.3 Graph Representation Learning Methods 4 Performance Evaluation 4.1 The Dataset 4.2 The Results 4.3 Comparison of Malware Dynamic Analysis Results 5 Conclusion References Host-Based Intrusion Detection: A Behavioral Approach Using Graph Model 1 Introduction 2 Related Work 3 Methodology 3.1 Model Definitions 3.2 Behavioral Features Derived from Graph Model 4 Experiments and Results 4.1 Behavioral Features and Intrusion Detection Evaluation 5 Contribution and Future Work References Isolation Forest Based Anomaly Detection Approach for Wireless Body Area Networks 1 Introduction 2 Related Works 3 Proposed Approach 3.1 Principle of Isolation Forest 3.2 IForestBAN-AD Model 4 Experimental Evaluation 5 Conclusion References Author Index