Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023 (Lecture Notes in Networks and Systems, 727)

The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Analytics and Insights (ICDAI 2023), organized by Techno International, Kolkata, India, during May 11–13, 2023. The book covers important topics like sensor and network data analytics and insights; big data analytics and insights; biological and biomedical data analysis and insights; optimization techniques, time series analysis and forecasting; power and energy systems data analytics and insights; civil and environmental data analytics and insights; and industry and applications. Organizing Committee Preface Contents Editors and Contributors The Factors that Influence the Customer Demands for Automobile Battery Industry Based on Market Dynamics 1 Introduction 2 Literature Review 2.1 Competitive Market Structure 2.2 Product Promotion and Advertisement 2.3 Product Availability 2.4 Product Quality 2.5 Product Pricing 2.6 Brand Image 2.7 Purchasing Power 2.8 Influencer Role 2.9 Digital Market Place 3 Empirical Research Methods 4 Statistical Analysis and Interpretation 4.1 Multivariate Analysis and Descriptive Statistics 4.2 Test of Reliability 4.3 Correlation Matrix 4.4 Rank Analysis 4.5 Factor Analysis of the Survey Data 4.6 The Outcome of Factor Analysis 5 Managerial Implications and Conclusions References Iterative Refinement for Variational Quantum Linear Solver 1 Introduction 2 Preliminary 2.1 Variational Quantum Linear Solver 2.2 Iterative Refinement Method 2.3 Quantum Multi-resolution Measurement 3 Iterative Refinement VQLS 4 Numerical Experiments 4.1 Problem Settings 4.2 Results and Discussions 5 Conclusions References A Q-learning Technique for Model Free H-infinity Controller Design for PMDC Motor 1 Introduction 2 System Modeling 3 Problem Formulation 4 Methods 4.1 Zero-Sum Game Modeling of the H-infinity Control Problem 4.2 Q-learning Modeling of the H-infinity Control Problem 5 Result of the Simulations 5.1 Zero-Sum Game Modeling of the H-infinity Control Problem 5.2 Q-learning Modeling of the H-infinity Control Problem 6 Conclusion References SHELLCOM-IoT-Based Health Monitoring Module for Mining Industry 1 Introduction 2 Existing Platform for the Monitoring Health Status of Mine Workers 3 Design and Schematic Analysis of the Shellcom Prototype Characteristics 4 Real-Time Implementation and Analysis of the Module Performance 5 Conclusions and Future Scope References Implementation and Design of Noise Cancellation Using NLMS Algorithm in Microphones 1 Introduction 2 Preliminaries 2.1 Fourier Theorem 2.2 Active Noise Cancellation 2.3 Noise Cancellation Techniques 3 Proposed Method 3.1 LMS Algorithm 3.2 Noise Cancellation Using Adaptive Filter 3.3 NLMS Algorithm 3.4 RLS Algorithm 3.5 Quality Improvement 4 Experimental Results 5 Conclusion and Future Scope References An Automated IoT-based Green Corridor Integrated with Smart Traffic Management System for Patients Transfer 1 Introduction 2 Literature Review 3 Methodology 3.1 Hardware and Software Setup 3.2 Working 3.3 Traffic Signal Management and Synchronization 4 Result and Discussion 5 Figures 6 Flowcharts 7 Conclusion References Analysis of Routing Protocols for Underwater Wireless Sensor Networks 1 Introduction 1.1 Acoustic Waves 1.2 Radio Frequency Waves (RF Waves) 1.3 Optical Waves 2 Constraints in Underwater Wireless Sensor Networks 3 Underwater Accoustic Channel Model 4 Routing Protocols Based on Localization 4.1 Vector-Based Forwarding Protocol 4.2 Hop-by-Hop Vector-Based Forwarding Protocol (H2-VBF) 4.3 Focused Beam Routing (FBR) 5 Localization-Free Routing Protocols 5.1 Depth-Based Routing 5.2 Energy-Efficient Depth-Based Routing 6 Cooperative Routing (CR) 6.1 Cooperative Energy-Efficient Protocol 6.2 Cooperative Depth-Based Routing (CoDBR) 7 Conclusion References VARUNA: Water Quality Monitoring Using Wireless Sensor Network (WSN) and IoT with Optimal Sensor Data Acquisition Algorithm 1 Introduction 2 Literature Survey 3 System Architecture 3.1 Hardware Implementation 3.2 Software Implementation 3.3 Result and Analysis 4 Conclusion References Intelligent Activity Detection System by LF SVM and Tri-axial Accelerometer 1 Introduction 2 Literature Survey 3 Proposed Methodology 3.1 Local Space Time 3.2 Histogram of Oriented Gradient Descriptor 3.3 Support Vector Machine 3.4 Tri-axial Accelerometers 4 Experiment Results 5 Discussion 6 Conclusion References Eye Blink—A Mode of Communication 1 Introduction 2 Literature Survey 3 Methodology 4 Results 4.1 Eye Blink Detection Accuracy 4.2 Conversion of Eye Blink Patterns into Functionalities 4.3 User Testing and Evaluation 4.4 Comparison with Existing Communication Methods 5 Discussion 5.1 Interpretation of the Results 5.2 Implications for Future Research 5.3 Potential Applications and Benefits 5.4 Limitations and Challenges 6 Conclusion References Fair Resource Allocation in Fog Computing by Using a Game Theoretic Approach 1 Introduction 2 Related Work 3 System Model 4 Proposed Approach 5 Experimental Results 6 Conclusion References Abnormality Detection in Financial Transactions Using Graph Representation Learning 1 Introduction 2 Literature Review 3 Problem Statement 3.1 Bipartite Approach 3.2 Tripartite Approach 4 Methodology 5 Implementation 6 Conclusion References CSGO Gaming Personality Prediction Using Big Five Factors 1 Introduction 2 Related Work 3 Proposed System 3.1 Big Five Personality Traits 3.2 Counter-Strike (CSGO) Team Roles 3.3 K-Means Clustering 3.4 Decision Tree 3.5 Gradient Boosting Classifier (Ensemble Technique) 3.6 Multi-layer Perceptron (Neural Network) 3.7 Modules 4 System Architecture 4.1 Performance Metrics 4.2 Results 5 Conclusion References Ensemble Learning Method Using Stacking with Base Learner, A Comparison 1 Introduction 2 Related Work 2.1 Stacking with Imbalanced Data 2.2 Stacking with Hybrid Technique 3 Methodology 4 Result Analysis 5 Conclusion References Privacy Preservation of Maritime Vessel Data Using SHA-256 1 Introduction 1.1 Problem Statement 1.2 Motivation 1.3 Our Work Contributions 1.4 Outline of the Paper 2 Literature Survey 3 Proposed Methodology 4 Result and Analysis 4.1 Performance Analysis 5 Conclusion References Monetize the Dual: A Data Analytic Approach for Native Language and Prequel Movies Popularity Analysis 1 Introduction 2 Related Works 3 Methodology 3.1 Data Collection 3.2 Data Analysis 4 Results and Discussions 4.1 RQ1: Will the Release of Sequel Movies Have an Impact on the Popularity of Prequel Movies? 4.2 RQ2: Is There Any Impact of Remake Movies Release on Their Respective Native Language Movies? 5 Conclusions and Future Works References A Study on the Research Progress of Multimodal Sentiment Analysis in Indian Languages 1 Introduction 2 Multimodal Sentiment Analysis Approaches for Indian Languages 2.1 Datasets 2.2 Pre-processing 2.3 Features Extraction 2.4 Status of the Multimodal Classification Approaches Used 3 Results, Discussion, and Challenges 4 Conclusion and Future Scope References Enhancing Digital Healthcare with IoMT and Big Data: A Computational Intelligence Approach 1 Introduction 2 Layers of IoMT 2.1 Data Acquisition Layer 2.2 Private Network Service Layer 2.3 Medical Server Layer 2.4 IoMT in Healthcare 3 Swarm Intelligence for Medical Data Analytics 3.1 Algorithm for Swarm Intelligence 3.2 Application of Swarm Intelligence 4 Big Data Processes 5 Conclusion References Name Entity Recognition for Transliterated Bengali Text Using Machine Learning Algorithm 1 Introduction 2 Related Works 3 Proposed NER Approach 3.1 Dataset 3.2 Feature Selection and Extraction 3.3 NER Model Generation 4 Experiment Result 4.1 Experiment Setup 4.2 Result 5 Error Analysis 6 Conclusion References Foggy–Hazy License Plate Image Data Collection and Feature Extraction 1 Introduction 2 Foggy and Hazy License Plate Images 3 Foggy and Hazy Images Datasets 4 Descriptive Feature Analysis 5 Orange Data Mining Tool 6 Conclusion References Exploring the Effectiveness of Sentiment Analysis Techniques and Aspect-Based Sentiment Analysis on Twitter Data for Analyzing Public Opinion on National Education Policy in India 1 Introduction 2 Related Work 2.1 Sentiment Analysis 2.2 NEP-Related Sentiment Analysis 3 Methodology and Implementation 3.1 Data Collection 3.2 Data Preprocessing 3.3 Sentiment Analysis 3.4 Aspect-Based Sentiment Analysis 4 Results and Discussion 4.1 Model Evaluation 4.2 Sentiment Analysis 4.3 Aspect-Based Sentiment Analysis 5 Conclusion and Future Scope References Framework for Integrating the Synergies of Blockchain with AI and IoT for Secure Distributed Systems 1 Introduction 1.1 Literature Study 1.2 A Study on Blockchain 2 Blockchain 2.1 Working of Blockchain 3 Fusion of Blockchain with AI 4 Fusion of Blockchain with IoT 5 Blockchain Security 5.1 Blockchain Security in Healthcare 5.2 Blockchain Security in Financial Sector 5.3 Blockchain Security in Supply Chain Management 6 Blockchain Fusion with AI and IoT Future Enhancements 7 Conclusion References Blockchain-Based Cloud Storage Using Secure and Decentralised Solution 1 Introduction 1.1 Literature Study 1.2 A Study on Blockchain 2 Cloud Computing 2.1 Layers of Cloud Computing 3 Blockchain 4 Fusion of Blockchain with Cloud Computing 4.1 Use Cases of Technology Fusion 4.2 Challenges for Technology Fusion 4.3 Future Enhancement 5 Conclusion References A Systematic Review on MODI Script Character Recognition 1 Introduction 2 MODI Character Recognition System 2.1 Preprocessing 2.2 Segmentation 2.3 Feature Extraction 2.4 Classification and Recognition 2.5 Machine Learning-Based Methods for Feature Extraction and Classification 2.6 Deep Learning-Based Methods for Classification 2.7 Post-processing 3 Discussion 4 Conclusion References Predictive Analytics for Stroke Prediction Using a Wrapper-Based Feature Selection Pipeline Approach in Machine Learning 1 Introduction 2 Literature Review 3 Materials and Methods 3.1 Dataset 3.2 Proposed System 4 Result Analysis 4.1 Result Analysis for Wrapper-Based Feature Selection Approaches 4.2 Pipeline-Based Accuracy Estimation 5 Discussion 6 Conclusion References TTSMSN: Design of an Efficient Temporal Trust-Based Sidechaining Model for Improving Storage Efficiency in IoT Networks 1 Introduction 2 Design of an Efficient Temporal Trust-Based Sidechaining Model for Improving Storage Efficiency in IoT Networks 3 Result Analysis and Comparison 4 Conclusion and Future Work References Detection and Screening of the Neovascularization Diabetic Retinopathy by an Automated System Caused Due to Diabetes 1 Introduction 2 State-of-the-Art Methods 3 Proposed Method 3.1 Pre-processing Technique 3.2 Blood Vascular Segmentation 3.3 Detection of the Newly Grown Blood Vessels (NV) 4 Experimental-Results and Conclusion References Video Encryption Using Optimization Lightweight Algorithm for Secure Internet of Things 1 Introduction 2 Related Works 3 Proposed Framework 3.1 Key Generation 3.2 Encryption 3.3 Decryption 4 Experimental Study 4.1 Evaluation Parameters 5 Conclusion References Augmenting Training Data and Validating Discriminators with Generative Adversarial Networks for Plant Disease Detection 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Image Acquisition 3.2 Image Processing 3.3 GAN 3.4 Image-to-Image Translation 3.5 AR-GANs 3.6 Convolutional Neural Network (CNN) 4 Results 5 Conclusion References Nail Disease Detection Using AI-Based Algorithm 1 Introduction 1.1 Parts of Nail 1.2 Nail Color Implications 2 Related Work 3 Proposed Methodology 3.1 Working of Proposed System 3.2 Feature Extraction 3.3 CNN Algorithm 4 Result 5 Conclusion References Exploring the Effectiveness of Various Machine Learning Algorithms for Detecting Brain Tumors in MRI Images 1 Introduction 2 Literature Review 2.1 DataSet 2.2 Preprocessing 3 Proposed Methods 3.1 Convolutional Neural Networks (CNN) 3.2 Visual Figure Group (VGG 16) 3.3 VGG 19 3.4 DenseNet 121 3.5 ResNet 50 3.6 LeNet 4 Results 5 Conclusion References Automatic Breast Cancer Detection with Mammography Approach Using Deep Learning Algorithm 1 Introduction 2 Literature Review 3 Methodology 3.1 DataSet 3.2 Data Visualization 3.3 Classification Algorithm 4 Result Analysis 5 Conclusion References A Hybrid Feature Based Approach of Facial Images for the Detection of Autism Spectrum Disorder 1 Introduction 2 Literature Review 3 Proposed Work 3.1 Dataset 3.2 Histogram of Oriented Gradients (HOG) 3.3 Local Binary Pattern (LBP) 3.4 Hybrid Combination of HOG and LBP Features 3.5 Exploratory Data Analysis (EDA) 3.6 Principal Component Analysis (PCA) 3.7 Model Training and Classification 4 Results and Discussion 4.1 Classification Evaluation 4.2 Comparison with State-of-the-Art Works 5 Conclusions References scRNA-seq Data Clustering Using DNNDeepClustering Approach 1 Introduction 2 Methods 2.1 Data Pre-processing 2.2 Denoising ZINB Auto-encoder 2.3 Deep Embedded Clustering 2.4 Optimization 3 Implementation 4 Results 5 Discussion 6 Conclusion References Toward Explainable Cardiovascular Disease Diagnosis: A Machine Learning Approach 1 Introduction 2 Literature Review 3 Methodology 3.1 Data Extraction/Importing Data and Setup 3.2 Data Preprocessing 3.3 Train, Test, and Validation 4 Results and Discussion 5 Conclusion References Word Sense Disambiguation: Adaptive Word Embedding with Adaptive-Lexical Resource 1 Introduction 1.1 SemCor 1.2 OMSTI 2 Related Work 3 Adaptive-Lex 3.1 Research Gap 3.2 Contribution 4 Methodology 5 Result and Discussion 6 Conclusion References A Set of Usability Constructs and Indicators for UI/UX Research on Mobile Food Ordering Applications in India 1 Introduction 2 Literature Review 3 Experimental Methods 4 Results and Discussion 5 Conclusion References Influence of Turbulent Inflows on Swirl Propagation at Pump Intake: Understanding and Control 1 Introduction 2 Influence of Turbulent Inflows on Swirl Propagation 2.1 Inlet Velocity 2.2 Inlet Geometry 2.3 Reynolds Number 2.4 Impeller Design 3 Techniques to Control Swirl Propagation 3.1 Flow Straightening Devices 3.2 Flow Dividers 3.3 Flow Diffusers 3.4 Vortex Suppressors 4 Conclusions References Neural Style Transfer—Parameter Optimization Including Performance, Loss Function and Security 1 Introduction 2 Literature Review 3 Methodology/Experimental 4 Results and Discussion 5 Conclusion, Limitations and Future Scope References A Cloud Fuzzy Production Inventory Model of Preservation Technology Affected Deteriorating Items with Stock and Demand Sensitive Production Rate 1 Introduction 2 Notations and Assumptions 2.1 Notations 2.2 Assumptions 3 Mathematical Model 3.1 Crisp Mathematical Model 3.2 Fuzzy Mathematical Model 3.3 Cloud Fuzzy Mathematical Model 4 Numerical Analysis 4.1 Example 5 Sensitivity Analysis 5.1 Observations 6 Conclusions References Computational Analysis and Performance Investigation of Convolutional Neural Network-Based Algorithms for Effective Face Spoof Detection 1 Introduction 2 Related Works 3 Methodology 3.1 Convolutional Neural Network (CNN) 3.2 Region-Based Convolutional Neural Network (RCNN) 4 Experimental Findings 4.1 Database 4.2 Experimental Setup 4.3 Performance Analysis CNN Versus RCNNs 5 Conclusion References Scheduling Involving Equipotential Processors with Constraint as Fuzzy Utilization Time of Jobs 1 Introduction 2 Literature Review 3 Practical Significance 4 Materials and Methodology 4.1 Statement of the Problem 4.2 Mathematical Model 4.3 Notations 4.4 Solution 4.5 Inspection of Validity of Above Algorithm 4.6 Solution 5 Gantt Chart 6 Solution by ACO Algorithm 7 Comparison Between the Results of Branch Bound and ACO Algorithm 8 Conclusion References Frequency Management of an Interconnected Power System Using Ant Colony Optimization Technique Enhanced PI Controller 1 Introduction 2 System Modeling 3 Controller and Optimization Technique 3.1 PI Controller 3.2 Ant Colony Optimization Algorithm 4 Result and Discussion 4.1 Case 1: Performance Enhancement Analysis of Proposed Technique 4.2 Case 2: 1, 2, and 10% Loading Response Analysis 5 Conclusion References An Adaptive Chaotic Search Class Topper Optimization Algorithm to Design Optimal PI-ID Controller for Artificial Ventilation System 1 Introduction 2 Mathematical Modeling of Ventilation System 3 Problem Formulation 4 Adaptive Chaotic Search Class Topper Optimization (ACSCTO) 4.1 Basic Class Topper Optimization 4.2 Chaotic Search Initialization 4.3 Extended Time-Varying Acceleration Coefficient 4.4 Update Mechanism of ACSCTO 5 Simulation and Result Analysis 6 Conclusion and Future Work References Optimizing Cross-Domain Music Recommendation with Adaptive User Preference Transfer 1 Introduction 2 Literature Review 3 Methodology 3.1 Initializing Stage 3.2 Transfer Stage 3.3 Attention Stage 3.4 Meta Stage 3.5 Training Stage 4 Experiments 4.1 Experimental Settings 4.2 Evaluation Metrics 4.3 Baselines 4.4 Generalization 5 Results and Findings 6 Conclusion References An Analysis of Duckworth-Lewis-Stern Method in the Context of Interrupted Limited over Cricket Matches 1 Introduction 2 Reviewing Similar Approaches 3 Duckworth-Lewis-Stern Method (DLS) 4 Application and Examples of DLS Method 5 Conclusion References Fuzzy Based Image Edge Detection Using Improved Artificial Bee Colony Optimization Algorithm 1 Introduction 2 Literature Survey 3 Image Edge Detection 4 Artificial Bee Colony Optimization Algorithm-Based Edge Detection Using Fuzzy Logic 4.1 Artificial Bee Colony Algorithm 4.2 Improved Artificial Bee Colony Algorithm 4.3 Fuzzy Membership for Edge Detection 5 Experimental Analysis 6 Conclusion References A New Approach to Solve Multi-objective Structural Model Under Neutrosophic Environment 1 Introduction 2 Mathematical Form of MOSOM 3 Preliminaries 3.1 Intuitionistic Fuzzy Set (IFS) 3.2 Neutrosophic Set (NS) 3.3 Nonlinear Pentagonal Intuitionistic Fuzzy Number with Symmetry (NLPIFNS) 4 De-intuitification of NLPIFNS Using on Mean of Interval Technique 4.1 Pentagonal Intuitionistic Fuzzy Multi-objective Nonlinear Programming Problem (PIFMONLPP) 5 Proposed Neutrosophic Fuzzy Approach 5.1 Computational Algorithm for MONLPP Using NFPA 6 Numerical Illustrations 7 Conclusions References Performance Evaluation of Popular Machine Learning Models for Used Car Price Prediction 1 Introduction 2 Literature Review 3 Objective 4 Methodology 4.1 Dataset Collection and Pre-processing 4.2 Feature Engineering 4.3 Evaluation Metrics 4.4 Data Preparation and Model Training 5 Conclusion 6 Limitations and Future Scope References Intrusion Detection Behavioral Model by Using ANN 1 Introduction 2 Material and Method 2.1 Dataset Description 2.2 ANN 2.3 SVM 2.4 Methodology 2.5 Proposed System Intrusion Detection Behavioral Model (IDBM) 3 Result and Discussion 3.1 Experimental Setup 3.2 Training of the Proposed Intrusion Detection Model Using ML Technique 3.3 Validation of the Proposed Intrusion Detection Model Using ML Technique 3.4 Training and Validation Results 4 Conclusion References Enhanced Social Spider Optimization Based on Beta Distribution and Natural Gradient Local Search for the Conversion of Non-audible Murmur to Normal Speech 1 Introduction 2 Non-audible Murmur 3 Proposed Methodology 4 Result and Discussion 5 Conclusion References A Predictive Model Based on Decision Trees Focused on Digital Marketing Strategies 1 Introduction 1.1 Marketing Trend in Industry 4.0 1.2 Companies and Marketing 4.0 1.3 IoT in Data-Driven Marketing 1.4 Industry 4.0 and Digital Marketing 1.5 Decision Trees 1.6 Application of the Predictive Model 2 Methodology 3 Results 4 Discussion References Prediction of Optimal Crop to Grow Based on Geographical Information 1 Introduction 2 Related Work 3 Machine learning models 3.1 Decision Tree Classifier [17] 3.2 K-Nearest Neighbor Classifier [18] 3.3 Random forest [19] 3.4 Gradient Boosting [20] 4 Proposed system methodology 4.1 Data collection 4.2 Data Preprocessing 4.3 Dataset Split 4.4 Model Training 4.5 Model Prediction 4.6 Confusion Matrix and Classification Report 5 Result analysis 6 Conclusion and Future Scope References Stroke-Sense: A Neural Network for Identifying Four Types of Cricketing Shots 1 Introduction 2 Related Work 3 Methodology 3.1 Explanatory Data Analysis (EDA) 3.2 Deep Learning with Data Augmentation 3.3 Model Training 4 Results 5 Conclusion 6 Future Work References Use Case Scenario in Federated Learning-Based Intrusion Detection Systems 1 Introduction 1.1 Related Work 2 Federated Learning 2.1 Working of FL 2.2 Advantages of FL 3 Types of FL 3.1 Horizontal Federated Learning 3.2 Vertical Federated Learning 3.3 Transfer Federated Learning 4 Intrusion Detection System 4.1 IDS Based on FL 5 Use Case Scenario in FL 6 Conclusion References Stock Price Analysis and Prediction Using Seq2Seq LSTM 1 Introduction 2 Literature Review 3 Methodology 3.1 Data Analysis 3.2 Data Pre-processing 3.3 Model Building 4 Flowchart 5 Implementation 6 Results 7 Conclusion References Faulty Line Identification Scheme for IEEE 39-Bus System Based on Current Phasor Measurement 1 Introduction 2 Theoretical Background 3 Simulation Study and Proposed Algorithm 4 Result 4.1 Bus Identification with Minimum Voltage Magnitude 4.2 Faulty Line Identification Scheme 5 Discussion 6 Conclusion References CO2 Discharges, Consumption of Energy, and Growth of GDP in KSA: A Pragmatic Analysis 1 Introduction 2 Literature Review 3 Data and Methods 3.1 Unit Root Test (URT) 3.2 Johansen’s Cointegration Test (JCT) 3.3 Causality Test 4 Empirical and Analytical Results 4.1 Analytical Tools 4.2 Variables Under Study 4.3 Descriptive Statistics 4.4 URT Results 4.5 Cointegration Test Results 4.6 Error Correction Model (ECM) Estimation 4.7 Granger Causality Test 5 Discussion 6 Conclusion References RDS: Related Document Search for Economics Data Using Ontologies and Hybrid Semantics 1 Introduction 2 Motivation 3 Related Works 4 Proposed System Architecture 5 Implementation and Performance Evaluation 6 Conclusion References Flight Fare Forecasting: A Machine Learning Approach to Predict Ticket Prices 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 About Dataset 4 Method 5 Results and Discussion 6 Conclusion References Image Enhancement of Underwater Images Using Deep Learning Techniques 1 Introduction 2 Related Works 2.1 Methods Based on Image Processing 2.2 Methods Based on Fusion. 2.3 Methods Based on Deep Learning 2.4 Methods Based on GAN 3 Methodology 3.1 Dataset 3.2 Histogram Equalization 3.3 Dark Channel Prior (DCP) Technique 3.4 Generative Adversarial Network (GAN) 3.5 Proposed Model 3.6 Metrics 4 Experiment and Results 4.1 Experimental Setup 4.2 Experiment Results 5 Conclusion References Impulsive Control as a Novel Defibrillator Algorithm Using Coupled Van der Pol Oscillators 1 Introduction 2 Theoretical Background of Heart Dynamics Modeling with Coupled Oscillator System 3 Control Schemes to Treat the Effects of Ventricular Flutter and Sinus Bradycardia 3.1 Case I: Ventricular Flutter 3.2 Case II: Sinus Bradycardia 3.3 Controller Design Using Real-Coded Genetic Algorithm 4 Simulations and Results 4.1 Numerical Implementation Details 4.2 Impulsive Control of Ventricular Flutter 4.3 Control of Sinus Bradycardia 5 Conclusions Appendix References Data Collection, Feature Extraction and Descriptive Analysis of Wheat Crop Images 1 Introduction 2 Data Collection 2.1 Experimental Field 2.2 Hardware Tool 3 Descriptive Analysis 4 Conclusion References Paramount—A Hidden Markov Model Based Intelligent Voice Assistant 1 Introduction 2 Literature Survey 3 Proposed Framework of the System 3.1 Feeding Input in Form of Voice Signal 3.2 Signal Processing Front End Module. 3.3 Acoustic Model 3.4 VQ-Code Book 3.5 Context-Dependent Triphone HMM 3.6 Identification and Execution of Tasks 4 Implementation 4.1 Results 5 Conclusion References Dissimilarity Measure Between Picture Fuzzy Sets with Application to Decision-Making and Medical Diagnostic Reasoning 1 Introduction 2 Preliminaries 3 Proposed Dissimilarity Measures (For PF-Environment) 4 Multi-Criteria Decision-Making (MCDM) 4.1 Mathematical Illustration 4.2 Comparison Analysis 5 Medical Diagnostic Reasoning 6 Conclusion References Design of EX-OR Gate with ANN Using Sigmoid and ReLU Functions for Artificial Intelligence Applications in Python 1 Introduction 2 Proposed Methodology 3 Implementation Details 3.1 Dataset Used 3.2 Performance of the ANN Model on the Test Dataset 4 Experimental Results and Analysis with Discussion 5 Conclusions References Block Crime: Criminal Incidence Detection Using Facial Recognition Based on Concepts of Blockchain 1 Introduction 2 Literature Survey 3 Overview of Methodology 3.1 Facial Recognition 3.2 Blockchain 3.3 Flask-Based GUI 4 Implementation Details 4.1 Facial Recognition 4.2 Blockchain Server 4.3 GUI 5 Results 6 Conclusions and Future Scope References Correction to: Intrusion Detection Behavioral Model by Using ANN Correction to: Chapter “Intrusion Detection Behavioral Model by Using ANN" in: N. Chaki et al. (eds.), Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023, Lecture Notes in Networks and Systems 727, https://doi.org/10.1007/978-981-99-3878-0_50 Author Index