ICT with Intelligent Applications: Proceedings of ICTIS 2022, Volume 1

Description

This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Sixth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2022), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike. Preface Contents About the Editors 1 Review of Different ML Techniques Used for Heart Disease Prediction 1.1 Introduction 1.2 Machine Learning Algorithms 1.2.1 Artificial Neural Network (ANN) 1.2.2 Decision Tree (DT) 1.2.3 Random Forest (RF) 1.2.4 Support Vector Machine (SVM) 1.2.5 K Nearest Neighbors (KNN) 1.2.6 Logistic Regression (LR) 1.3 Literature Review 1.4 Comparative Study of Literature Review 1.5 Conclusion References 2 Image Enhancement by Various Segmentation Techniques Using Machine Learning 2.1 Introduction 2.2 Literature Studies 2.3 Various Segmentation Techniques 2.3.1 Image Thresholding 2.3.2 Morphological Operation 2.3.3 Region-Based and Edge-Based Detection 2.4 Analysis and Results of Various Segmentation Techniques 2.5 Conclusion References 3 Sequence-to-Sequence Video Captioning System 3.1 Introduction 3.1.1 Literature Review 3.2 Our Approach 3.2.1 Modules 3.2.2 Working 3.3 Results 3.3.1 Input Videos 3.3.2 Output of Generated Captions 3.4 Conclusion References 4 Stock Price Prediction Using Sentiment Analysis on News Headlines 4.1 Introduction 4.2 Literature Survey 4.3 Sentiment Analysis 4.3.1 Why Sentiment Analysis? 4.4 The Proposed Work 4.4.1 Valence Aware Dictionary and Sentiment Reasoner (VADER) 4.4.2 Data Gathering and Preprocessing 4.4.3 Long Short-Term Memory (LSTM) 4.4.4 Convolutional Neural Network (CNN) 4.5 Results and Discussion 4.6 Conclusion and Future Works References 5 A Robust Framework for Governing Blockchain-Based Distributed Ledgers During COVID-19 for Academic Establishments 5.1 Introduction 5.2 Prevailing Distributed Ledgers Software and Devices 5.3 Proposed Monitoring Scheme for Distributed Ledgers Suggested Technique 5.4 Experimental Setup and Results Discussion 5.5 Conclusions References 6 Cyber Security and Its Prediction with Cloud Data Computing and IoT 6.1 Introduction 6.2 Role of Data Science in Cyber Security to Pretend Cybercrime 6.2.1 Risks Factors with Cloud Computing 6.3 Short Range Natural Number (SRNN) Algorithm 6.3.1 Algorithm 6.4 Cloud Computing and IoT in Cyber Security to Pretend Cybercrime 6.4.1 The Incorporation of Cloud Computing into Security Systems 6.5 Conclusion and Future Work References 7 A Review on Societal Application of Data Analytics 7.1 Introduction 7.2 Data and Data Analysis 7.3 Applications 7.3.1 Societal Application 7.3.2 Governance Application 7.3.3 Agriculture and Environmental Application 7.4 Conclusion References 8 Study of Security in Cryptocurrency 8.1 Introduction 8.1.1 Our Contribution 8.1.2 Paper Organization 8.2 History of Cryptocurrency 8.3 Attack on Cryptocurrency 8.4 Challenges of Cryptocurrency 8.5 Analysis on Cryptocurrency 8.5.1 Charts of Comparative Analysis 8.6 Research Gaps 8.7 Conclusion References 9 Study and Analysis of Network Steganography Methods 9.1 Introduction 9.1.1 Our Contribution 9.1.2 Paper Organization 9.2 Steganography Types 9.3 Network Steganography 9.3.1 Advantages 9.4 Classification of Network Steganographic Methods 9.5 Research Gaps 9.6 Future Work and Conclusion References 10 Survey on Driver Fatigue Detection Using Sensors, Big Data Analytics and Machine Learning Techniques 10.1 Introduction 10.2 Sensors Used for Driver Fatigue Detection 10.2.1 Heartbeat Sensor 10.2.2 Eye Blink Sensor 10.2.3 Temperature Sensor LM-35 10.2.4 Pulse Oximeter Sensor 10.2.5 WFS Sweat Sensor 10.2.6 Alcohol Sensor MQ303A 10.3 Sensors Fixed on Car for Driver Safety 10.3.1 Steering Angle Sensor 10.3.2 Vehicle Speed Sensor 10.3.3 Radar Sensor 10.3.4 Curve Speed Sensor 10.3.5 Vision Sensor 10.4 Big Data Analytics 10.5 Lifecycle of Big Data Analytics 10.5.1 Acquisition and Preprocessing of Data 10.5.2 Processing of Data Using Big Data Analytics 10.6 Machine Learning Algorithms 10.6.1 SVM and Random Forest 10.7 Conclusion References 11 On Characteristics of κ–Q–Fuzzy Translation and κ–Q–Multiplication in T-Ideal in T-Algebras 11.1 Introduction 11.2 Preliminaries 11.3 On Characteristics of κ-Q-FTand κ-Q-FM in T-Ideals References 12 Blockchain-driven Smart Healthcare System: Challenges, Technologies and Future Research 12.1 Introduction 12.1.1 Importance of the Technology 12.1.2 Contributions of the Paper 12.2 Literature Review 12.3 Issues and Challenges of Smart Health Care 12.4 Generic Architecture of Blockchain-driven Smart Healthcare System 12.5 Related Technologies 12.5.1 3D Printing 12.5.2 Artificial Organs 12.5.3 Robotic Operations 12.5.4 Smart Healthcare Devices 12.5.5 Virtual Reality 12.5.6 Telehealth 12.6 Pragmatic Study 12.6.1 Estimation of Computational Time 12.6.2 Estimation of Transaction Per Second (TPS) 12.7 Conclusion and Future Research Directions References 13 A Future to the Blockchain Technology and Its Concepts 13.1 Introduction 13.2 Survey 13.3 Bitcoin and Blockchain Technology 13.3.1 Corruption 13.3.2 Bitcoin—Weakness Funding 13.3.3 Analysis of Bitcoin 13.4 Blockchain Concepts and Work 13.5 The Smart Contract 13.5.1 Contract Fairness 13.6 Metaverse Blockchain Technology 13.7 Theoretical Analysis 13.8 Conclusion References 14 Impacts of DDoS Attacks in Software-Defined Networks 14.1 Introduction 14.2 Architecture of SDN 14.2.1 Application Layer 14.2.2 Control Layer 14.2.3 Data Layer 14.3 Vulnerabilities in SDN 14.4 DDoS Attack Scenarios in SDN 14.5 Impacts of DDoS Attacks 14.6 Conclusion References 15 IoT-Based Agriculture Trend Prediction Based on Weather Data 15.1 Introduction 15.2 Literature Review 15.3 Methodology 15.4 Result and Discussion 15.5 Conclusion References 16 EEG in Optic Nerves Disorder Based on FSVM Using Kernel Membership Function 16.1 Introduction 16.2 Related Work 16.3 Proposed Work 16.4 Methodology 16.4.1 Fuzzy Set 16.4.2 Fuzzy Inference Algorithm 16.4.3 Fuzzy Classification 16.4.4 Original Membership Function in Feature Extraction 16.5 Classification and Regression 16.5.1 Support Vector Machine 16.5.2 Kernel Membership Function 16.6 Result Overview 16.7 Conclusion References 17 DDoS Detection in ONOS SDN Controller Using Snort 17.1 Introduction 17.1.1 Open Network Operating System (ONOS) 17.1.2 Distributed Denial of Service (DDoS) 17.1.3 Snort 17.2 SDN Problems 17.2.1 Resolving On-demand Upgradation 17.2.2 Automation of Devices 17.2.3 Security 17.3 Results and Discussions 17.4 Conclusion and Future Scope 17.4.1 Future Scope References 18 Classification of Keratoconus Using Corneal Topography Pattern with Transfer Learning Approach 18.1 Introduction 18.2 Related Work 18.3 Study Data and Methods 18.4 Discussion and Results 18.5 Analysis of Results 18.6 Conclusion and Future Work References 19 Intelligent Heuristic Keyword-Based Search Methodologies Applied to Cryptographic Cloud Environment 19.1 Introduction 19.2 Literature Survey 19.2.1 Comparison of Searchable Encryption Techniques 19.2.2 Fuzzy and Aggregation-Based Keyword Search 19.2.3 Ranked and Verifiable Keyword Search 19.2.4 Algorithms Description 19.2.5 Comparison of Techniques 19.3 Conclusion References 20 Surakhsha Kavach: ML-Based Cross-platform Application for COVID-19 Vulnerability Detection 20.1 Introduction 20.2 Literature Survey 20.3 Analysis 20.4 Existing System Architecture 20.5 Proposed System Architecture 20.6 Future Scope 20.7 Conclusion References 21 Malware Family Categorization Using Genetic Algorithm-CNN-Based Image Classification Technique 21.1 Introduction 21.2 Literature Review 21.2.1 Traditional Malware Analysis 21.2.2 Malware Image Classification Using Machine Learning 21.3 Methodology and Experimentation 21.3.1 Dataset Description 21.3.2 Visual Representation of Malware File 21.3.3 Architecture of CNN 21.3.4 Implementation of Genetic Algorithm 21.4 Results and Comparison 21.5 Conclusion and Future Work References 22 Master Data Management Maturity Evaluation: A Case Study in Educational Institute 22.1 Introduction 22.1.1 Data Model 22.1.2 Data Quality 22.1.3 Usage and Ownership 22.1.4 Data Protection 22.1.5 Maintenance 22.2 Literature Review 22.3 Research Methodology 22.3.1 Questionnaire 22.3.2 Data Collection 22.4 Case Study 22.4.1 Organization’s Profile 22.4.2 Results 22.5 Conclusion References 23 Malware Family Classification Using Music Information Retrieval Techniques 23.1 Introduction 23.2 Literature Review 23.3 Methodology and Experimentation 23.3.1 Conversion of the Executable Bytes File into MIDI Files 23.3.2 Conversion of MIDI Signals to .Wav Files 23.3.3 Audio Feature Extraction 23.3.4 Building the Model 23.4 Results and Comparison 23.4.1 Description of Dataset 23.4.2 Results 23.5 Conclusion and Future Work References 24 Text-Based Prediction of Heart Disease Doctor Chatbot Using Machine Learning 24.1 Introduction 24.2 Literature Survey 24.3 Proposed Methodology 24.4 Implementation 24.5 Results 24.6 Conclusion References 25 Intelligent Proctoring System 25.1 Introduction 25.2 Related Work 25.3 Design 25.4 Implementation 25.4.1 Online Proctoring 25.4.2 Web App Features 25.4.3 Object Detection 25.4.4 Face Recognition 25.4.5 Head Pose Detection 25.5 Results 25.6 Conclusion and Future Enhancements 25.6.1 Conclusion 25.6.2 Future Enhancement References 26 Project-Based Learning: A Contemporary Approach to Blend Theory and Practical Knowledge of Database Management Course 26.1 Introduction 26.2 Literature Review 26.3 Implementation Details 26.3.1 Junctures of Activity 26.4 Assessment 26.5 Conclusion References 27 Comparative Study of CNN-Based Multi-Disease Detection Models Through X-Ray Images 27.1 Introduction 27.2 Dataset and Methods 27.2.1 Training, Validation and Testing 27.2.2 Convolutional Neural Network 27.2.3 Transfer Learning 27.2.4 Evaluation Standard 27.2.5 Experimental Setup 27.2.6 VGG16 27.2.7 VGG19 27.2.8 ResNet50 27.2.9 Xception 27.3 Experimental Result and Discussion 27.3.1 Training and Validation Accuracy 27.3.2 Training and Validation Loss 27.3.3 Confusion Matrix 27.3.4 F1-Score, Precision and Recall 27.4 Conclusion References 28 Student’s Employability Concern for Colleges and Universities 28.1 Introduction 28.2 Historical Background 28.2.1 Big Data Analytics Tools, Methods, and Frameworks 28.2.2 Review of Educational Data Mining 28.2.3 Review of Clustering-Based EDM Techniques 28.2.4 Review of EDM Using Other Methods 28.3 Proposed Work 28.4 Conclusions References 29 Clipped RBM and DBN Based Mechanism for Optimal Classification of Brain Cancer 29.1 Introduction 29.2 Related Work 29.3 Methodology 29.3.1 Introduction of Basic DBN 29.3.2 Clipped Restricted Boltzmann Machine (C-RBM) 29.4 Result 29.4.1 Dataset Information 29.4.2 Experimental Analysis 29.5 Conclusion References 30 Air Quality Prediction Using Supervised Machine Learning Techniques 30.1 Introduction 30.2 Literature Review 30.3 Data and Methods 30.4 Results and Discussion 30.5 Conclusion and Future Directions References 31 A Survey on Fire Detection-Based Features Extraction Using Deep Learning 31.1 Introduction 31.2 Related Work 31.3 Existing Methodologies 31.3.1 Sensors 31.3.2 Computer Vision-Based Systems 31.3.3 CCD Cameras 31.4 Motivation and Impact of Former Works 31.5 Conclusion References 32 A Survey on Exploratory Mineral Data Analysis on Geological Location Using Deep Learning 32.1 Introduction 32.1.1 Geological Mapping 32.1.2 Soil Sampling 32.1.3 Stream Sediments 32.1.4 Drilling 32.1.5 Geophysical Methods 32.2 Related Works 32.3 Proposed Work 32.3.1 Support Vector Machine 32.3.2 Decision Tree 32.3.3 K-Nearest Neighbor 32.3.4 Recurrent Neural Network 32.4 Conclusion and Future Work References 33 User’s Nostrum Spot for Consulting and Prescribing Through Online 33.1 Introduction 33.1.1 Existing System 33.1.2 Problems in Existing System 33.2 Related Works 33.3 Proposed Method 33.3.1 Client Interface Features 33.3.2 Admin Features 33.3.3 Booking Features 33.4 Conclusion References 34 Decentralized Waste Management System: Smart Dustbin 34.1 Introduction 34.2 Related Work 34.3 Proposed System 34.3.1 Version 1 34.3.2 Version 2 34.4 Design Specifications 34.4.1 Client-Side 34.4.2 Server-Side—Version 1 Only 34.4.3 AWS-Side—Version 2 Only 34.4.4 Front-End Side 34.5 Methodology and Working 34.6 Implementation and Execution 34.6.1 Client-Side [15] 34.6.2 AWS Cloud Configuration 34.6.3 Front-End (Portal) 34.7 Conclusion References 35 Ease of Doing Business: Approaching the Context 35.1 Introduction 35.2 Defining the Term “Ease of Doing Business” 35.3 Review of Literature 35.4 Conclusions 35.5 Researcher’s Observations in Indian Context References 36 A Survey on Diagnosis of Hypoglycemia and Hyperglycemia Using Backpropagation Algorithm in Deep Learning 36.1 Introduction 36.2 Related Works 36.3 Proposed Work 36.3.1 Naive Bayes Algorithm 36.3.2 Decision Tree Algorithm 36.3.3 Support Vector Machine Algorithm 36.3.4 Deep Learning 36.4 Conclusion References 37 A Novel Marathi Speech-Based Question and Answer Chatbot for the Educational Domain Abstract 37.1 Introduction 37.2 Literature Review 37.3 Research Methodology 37.3.1 Recognition of Human Voice and Text Processing 37.3.2 Naive Bayes (NB) Classifier 37.4 Results and Discussions 37.5 Conclusion and Future Work References 38 Color Feature Extraction-Based Near-Duplicate Video Retrieval 38.1 Introduction 38.2 Literature Review 38.3 Proposed Methodology 38.3.1 Feature Vector Extraction 38.3.2 Video Fingerprint Generation 38.4 Testing Phase 38.4.1 Testing Phase 38.4.2 Similarity Evaluation 38.4.3 Testing Results 38.4.4 Performance Evaluation 38.5 Conclusion and Future Work References 39 LabVIEW Software for Design and Implementation of Particle Swarm Optimization Tuned Controller for the Climate Control of Greenhouse System 39.1 Introduction 39.2 Mathematical Modeling of GHS 39.2.1 Decoupler for the Nonlinear GHS 39.2.2 Particle Swarm Optimization (PSO) Tuned Controller 39.3 System Implementation 39.4 Simulation Results 39.4.1 Open-Loop Response 39.4.2 Closed-Loop Control Response 39.5 Conclusion References 40 Cluster-Based Energy-Efficient Routing in Internet of Things 40.1 Introduction 40.2 Literature Survey 40.2.1 Grey Wolf Optimization Algorithm 40.2.2 The Artificial Bee Colony Algorithm 40.2.3 Ant Colony Optimization Algorithm 40.3 Network System Model 40.4 Proposed Method 40.5 Selection of Cluster Heads 40.6 Results and Discussion 40.7 Conclusion References 41 Explainable AI for Sentiment Analysis 41.1 Introduction 41.1.1 What is XAI? 41.2 Literature Survey 41.3 Methodology 41.3.1 Model Used for Classification 41.3.2 Dataset 41.3.3 How is Sentiment Determined 41.3.4 Applying Visualization Tool to Our Model 41.3.5 Passing Multiple Keywords 41.4 Results and Discussion 41.4.1 Limitations References 42 Deep CNN Model Embedded with Inception Layers for COVID-19 Classification 42.1 Introduction 42.2 Related Work 42.3 Methodology 42.3.1 Basic CNN Model 42.3.2 The Proposed CNN 42.4 Result 42.4.1 Dataset Information 42.4.2 Performance Analysis 42.5 Conclusion References 43 Design and Execution of Cyberattacks Simulation for Practice-Oriented Experiential Learning 43.1 Introduction 43.2 Literature Review: Practice-Oriented Attack Simulation Testbed 43.2.1 Scope of the Exercise: Simulated Attack-Based Exercise 43.2.2 Theme of Attack Simulation 43.3 Problem Statement 43.4 Cyberattacks Simulation for Practice-Oriented Experiential Learning: Concept and Design 43.4.1 High-level Scenario Story 43.4.2 Testbed Details 43.4.3 Remote Access Trojan—Quasar RAT 43.4.4 Attack Methodology 43.4.5 Incident Analysis 43.4.6 Indicative Questions for Practice and Assessment Based on the Technical Incident Investigation 43.5 Conclusions and Future Work References 44 Agricultural App Development Using Machine Learning and Deep Learning: A Review 44.1 Introduction 44.2 Literature Survey 44.3 Research Gap 44.4 Technology Used for Agricultural Mobile App Development 44.4.1 Machine Learning 44.4.2 Deep Learning 44.5 Proposed System 44.5.1 CNN Model for Plant Leaf Disease Detection 44.6 Conclusion References 45 Performance Evaluation of Biharmonic Function-Based Image Inpainting Approach 45.1 Introduction 45.2 Image Inpainting Using Biharmonic Functions 45.3 Results and Discussion 45.3.1 Experimental Arrangement 45.3.2 Datasets 45.3.3 Experimental Outcomes 45.3.4 Performance Analysis 45.4 Conclusion References 46 Automated Perpetrator Identification by Face Recognition 46.1 Introduction 46.2 Proposed Method 46.2.1 Face Detection 46.3 Experimental Results and Discussion 46.4 Conclusion References 47 Age Estimation in Social Network Using Machine Learning Algorithm 47.1 Introduction 47.2 Related Work 47.3 Age Estimation Technique 47.3.1 Features Extraction 47.3.2 Age Classification 47.4 Conclusion References 48 Low-Profile Elliptical Slot Antenna for Sub-6 GHz 5G and WLAN Applications 48.1 Introduction 48.2 Antenna Geometry 48.3 Parametric Study 48.4 Results and Discussions 48.5 Conclusion References 49 A Survey of Computational Intelligence Techniques Used for Cyber-Attack Detection 49.1 Introduction 49.2 Cyber-Attack Detection Methods 49.2.1 ML-Based Cyber-Attack Detection 49.2.2 DL-Based Cyber-Attack Detection 49.2.3 RL-Based Cyber-Attack Detection 49.3 Comparative Analysis and Discussions 49.3.1 Benchmark Datasets 49.3.2 Performance Measures 49.3.3 Performance Comparison 49.3.4 Future Research Scope 49.4 Conclusions References 50 A Technical Review on Machine Learning-Based Prediction on COVID-19 Diagnosis 50.1 Introduction 50.2 Machine Learning 50.3 Machine Learning Application for COVID-19 Classification, Screening, Prediction and Diagnosis 50.3.1 Support Vector Machine (SVM) 50.3.2 Random Forests 50.3.3 Decision Tree 50.3.4 Logistic Regression 50.4 Conclusion References 51 A CNN-Based Neural Network for Tumor Detection Using Cellular Pathological Imaging for Lobular Carcinoma 51.1 Introduction 51.2 Related Work 51.3 Proposed Work 51.4 Feature Acquisitions 51.5 Machine Learning-Based Pattern Analysis 51.6 Experimental Results 51.7 Conclusion References 52 A Survey on Identification of Grocery Store Items Using Deep Learning in Retail Store 52.1 Introduction 52.2 Benefits and Challenges 52.3 A Methods for Detecting Products 52.4 Comparison of Retail Product Detection Methods 52.5 Summary and Concluding Remarks 52.5.1 Characteristics of a Desirable Key System 52.5.2 Future Directions References 53 Termino-ontology Resources of Endogenous Agro-Sylvo-Pastoral Practices for the Adaptation to Climate Change 53.1 Introduction 53.2 Notion of TOR and Its Role in the Ontology Construction Process 53.3 Termino-Ontology Resources of the Domain of Endogenous Agro-sylvo-pastoral Practices 53.3.1 Non-ontological Resources (NOR) 53.3.2 Ontological Resources (OR) 53.4 Synthesis and Analysis on the Art of ROT 53.5 Conclusion and Perspectives References 54 Survey of Protocol-Based Approaches Using NS3 for Congestion Control 54.1 Introduction 54.1.1 TCP Congestion Control 54.2 TCP Tahoe 54.3 TCP Reno 54.4 TCP New Reno 54.5 TCP Vegas 54.5.1 Modified New Re-transmission Technique 54.5.2 Enhanced Congestion Avoidance 54.5.3 Modified Slow Start 54.6 TCP Sack 54.7 TCP Westwood 54.8 TCP Westwood+ 54.9 Simulation 54.9.1 Network Topologies 54.9.2 Simulation Result—1 54.9.3 Simulation Result—2 54.9.4 Simulation Result—3 54.10 Conclusion References 55 IOT-Based Smart Baby Cradle: A Review 55.1 Introduction 55.1.1 Embedded System 55.2 Related Works 55.3 Proposed System 55.3.1 Difference Between Existing System and Proposed System 55.4 Software Details 55.4.1 Arduino IDE 55.4.2 Proteus 55.5 Hardware Details 55.5.1 Arduino Uno 55.5.2 Power Supply Circuit 55.5.3 Temperature Sensor 55.5.4 Pressure Sensors 55.5.5 Gyro Sensor—ADXL335 55.5.6 Node MCU 55.5.7 Digital Display 55.5.8 Buzzer 55.5.9 DC Motor 55.6 Conclusion References 56 Pressure Prediction System in Lung Circuit Using Deep Learning 56.1 Introduction 56.2 Related Works 56.3 Recommended Algorithm 56.3.1 Recurrent Neural Networks 56.3.2 Long Short-Term Memory Network 56.3.3 MLP Multilayer Perceptron 56.3.4 K-Fold Technique 56.4 Libraries 56.4.1 Pandas 56.4.2 NumPy 56.4.3 Data Visualization 56.4.4 Matplotlib 56.4.5 PyTorch 56.4.6 Scikit Learn 56.5 Conclusion References 57 Twitter Sentiment Analysis Using Machine Learning and Deep Learning 57.1 Introduction 57.2 Literature Review 57.2.1 Contribution 57.3 Methodology 57.3.1 Dataset 57.3.2 Preprocessing 57.3.3 Sentiment Analysis 57.4 Result Analysis and Comparison 57.5 Conclusion References 58 A Survey of Methods and Techniques in Offline Telugu Character Segmentation and Recognition 58.1 Introduction 58.2 Methodologies of Telugu CR Systems 58.2.1 Image Acquisition 58.2.2 Preprocessing 58.2.3 Segmentation 58.2.4 Feature Extraction Methods 58.2.5 Telugu Offline Character Recognition System 58.3 Challenges in Telugu Handwritten Character Segmentation and Recognition 58.4 Conclusion and Future Scope References 59 A Machine Learning Approach in 5G User Prediction 59.1 Introduction 59.2 Methodology 59.2.1 Data Collection 59.2.2 Data Preprocessing 59.2.3 Building the Model 59.3 Data Representation 59.4 Performance Metric of the Model 59.5 Result 59.6 Conclusion References 60 An Incremental Approach to Classify Healthcare URLs Using a Novel ‘Web Document Classification Model’ 60.1 Introduction 60.2 Literature Survey 60.2.1 Document Classification Using Distance Measures 60.2.2 Incremental Learning for Document Classification 60.2.3 Sentimental Features for Document Classification 60.3 Methodology 60.3.1 Fetching of URLs 60.3.2 Sentimental Filter 60.3.3 Document Similarity Filter 60.3.4 Incremental Learning: Change Detection 60.4 Results and Discussion 60.4.1 Performance Matrix 60.4.2 Harvest Ratios 60.4.3 Analysis of Results for Incremental Learning 60.5 Conclusion and Future Enhancements References 61 An Empirical Research on the Impact of Digital Marketing and Data Science on Indian Education System 61.1 Introduction 61.1.1 The Raise of Digital Marketing 61.2 Theoretical Background 61.2.1 Digital Marketing 61.2.2 Data Science 61.2.3 Data Science in Digital Marketing 61.3 Digital Marketing in Educational Sector 61.4 Research Methodology 61.5 Result and Discussion 61.6 Conclusion and Implications References 62 A Text Classification Optimization Framework for Prodigious Datasets 62.1 Introduction 62.2 Related Works 62.3 Research Methodology 62.4 Text Classification 62.5 Research and Analysis 62.5.1 Experimental Setup [21] 62.5.2 Dataset Description 62.5.3 Evaluation Metrics [21] 62.5.4 Comparative Analysis 62.6 Conclusion References 63 An Overview of Indian Language Datasets Used for Text Summarization 63.1 Introduction 63.2 TS Datasets and Resources in English 63.2.1 Datasets 63.3 TS Resources and Datasets in Indian Languages 63.3.1 IL Datasets 63.4 Observations 63.5 Conclusion References 64 Scattering Wavelet Network-Based Iris Classification: An Approach to De-duplication 64.1 Introduction 64.2 Related Work 64.3 Databases Used for Classification 64.3.1 UPOL Database 64.3.2 Warsaw-BioBase-Smartphone-Iris Database 64.4 Scattering Wavelet Network 64.5 Iris Classification Using ScatNet 64.5.1 Iris Segmentation and Enhancement 64.5.2 Feature Vector Construction 64.6 Experimental Results 64.7 Conclusion References 65 Portfolio Optimization Using Reinforcement Learning: A Study of Implementation of Learning to Optimize 65.1 Introduction 65.1.1 Related Works 65.2 Methodology of Using Reinforcement Learning 65.2.1 The Standard Agent-Environment Interface 65.2.2 Reinforcement Learning Formulation for Portfolio Optimization 65.3 Evaluation 65.3.1 Experimental Setup 65.4 Experimental Results 65.5 Discussion 65.5.1 Future Work References 66 License Plate Detection Techniques: Conventional Methods to Deep Learning 66.1 Introduction 66.2 License Plate Detection Techniques 66.3 License Plate Detection Using YOLOv3 66.3.1 Datasets 66.3.2 YOLOv3 66.4 Results 66.5 Conclusion References 67 Inverse Imaging: Reconstructing High-Resolution Images from Degraded Images 67.1 Introduction 67.2 Background 67.3 Model Architecture and Methods 67.4 Training 67.4.1 Working on Data Sets and Creating Labels 67.4.2 Optimizer 67.5 Results and Discussions 67.6 Conclusion References 68 Cognitive Baby Care Solution for Smart Parenting 68.1 Introduction 68.2 Literature Survey 68.3 Design 68.4 Implementation 68.5 Results 68.6 Conclusion 68.7 Future Work References 69 Present NLP Status for Dogri Language 69.1 Introduction 69.2 Dogri Language 69.2.1 Facts of Dogri Language 69.3 NLP Status of Dogri 69.3.1 Corpus Resources 69.3.2 Digital Resources 69.4 Literature Survey of NLP Tasks in Dogri 69.4.1 Machine Translation 69.4.2 Morphological Analysis 69.4.3 NER 69.4.4 PoS Tagging 69.4.5 Stemming 69.4.6 Summarization 69.4.7 Stop Word Generation/Removal 69.4.8 Other Works 69.5 Challenges of Dogri 69.6 Conclusion and Future Work References 70 Multi-objective and Seagull Optimization Enabled Traffic Signal Controlling for Traffic Management in Cities 70.1 Introduction 70.2 Motivation 70.2.1 Literature Survey 70.2.2 Challenges 70.3 Proposed Method for Traffic Signal Control in the Urban Areas 70.3.1 Smart City Map 70.3.2 Map Segmentation and Significant Route Discovery 70.3.3 Network Simulation for Information Extraction 70.3.4 Traffic Signal Controlling 70.4 Result and Discussion 70.4.1 Analysis of the Proposed Method 70.5 Conclusion References 71 Design of Smart Spectacle in 5G-IoT Environment to Detect and Prevent Corona Virus Variants 71.1 Introduction 71.2 Methodology 71.3 Result and Analysis 71.4 Conclusion References 72 Telecommunication's Customer Experience Prediction Using Hybrid Machine Learning Model 72.1 Introduction 72.2 Literature Review 72.3 Methodology 72.3.1 Data Collection 72.3.2 Feature Selection 72.4 Model Selection 72.5 Result Analysis 72.6 Conclusion References 73 An Analysis on Predicting Social Media Ads Using Kernel SVM Function 73.1 Introduction 73.2 Literature Survey 73.3 Datasets Used 73.4 Methodology 73.4.1 Polynomial Type Kernel SVM 73.4.2 Radial Type Kernel SVM 73.4.3 Linear Type Kernel SVM 73.4.4 Sigmoid Type Kernel SVM 73.5 Observation 73.6 Result 73.7 Conclusion References 74 COVID-19 Triggers a Paradigm Shift in Technology for Insurance Industry 74.1 Current ‘Global Insurance Stance’ 74.2 Emerging Trends Reshaping the Insurance Industry 74.3 Discussion 74.4 Conclusion References 75 Internet of Things in Saudi Arabia Universities: State of the Art, Future Opportunities, and Open Challenges 75.1 Introduction 75.2 Literature Review 75.2.1 IoT in Education and Universities 75.2.2 Applications of IoT in Universities and Other Education Institutions 75.2.3 IoT Impact, Challenges, and Opportunities in Universities and Other Education Institutions 75.3 Research Method 75.4 Research Results 75.5 Result Discussion 75.6 Conclusion References Author Index