Computational Intelligence in Communications and Business Analytics: Third International Conference, CICBA 2021, Santiniketan, India, January 7–8, ... in Computer and Information Science, 1406)

This book constitutes the refereed proceedings of the Third International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2021, held in Santiniketan, India, in January 2021. The 12 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on computational forensic (privacy and security); computational intelligence; data science and advanced data analytics; and intelligent data mining and data warehousing. Preface 6 Organization 8 Contents 12 Computational Forensic (Privacy and Security) 14 Quantified Analysis of Security Issues and Its Mitigation in Blockchain Using Game Theory 15 1 Introduction 15 2 Existing Security Issues in the Blockchain 16 2.1 Security Issues 16 2.2 Game Theory 17 3 Literature Review 18 4 Open Research Issues on Blockchain Security for Data Mining 21 5 Analysis of Simulation Result 23 5.1 Discussion on Simulation Result 24 5.2 Comparative Analysis of Model 26 6 Conclusions 28 Annexure 1 28 Formalism in the Model Proposed by B. Johnson, A. Laszka et al. [4] 28 Formalism in the Model Proposed by B. Johnson, A. Laszka et al. [6] 29 References 30 Color Image Compressed Sensing Using Modified Stagewise Orthogonal Matching Pursuit 32 1 Introduction 32 2 Literature Review 34 3 Proposed Method 35 3.1 Complexity Analysis 36 4 Results and Simulations 36 5 Comparison 38 6 Conclusion 39 References 40 Duplicate Frame Detection in Forged Videos Using Sequence Matching 41 1 Introduction 41 2 Related Work 43 3 Proposed Methodology 44 3.1 Measuring Similarity Between Two Frames 45 3.2 Detection of Shots in a Video 46 3.3 Detection of Frame Duplication 46 4 Experiment Results and Analysis 48 4.1 Dataset Description 48 4.2 Evaluation Metrics 49 4.3 Results and Discussion 50 5 Conclusion 52 References 52 An Image Encryption Method Using Chaos and DNA Encoding 54 1 Introduction 54 2 Preliminaries 56 2.1 Renyi Map and Tent Map 56 2.2 DNA Coding and DNA Operations 57 3 Proposed Image Encryption Method 58 3.1 Generation of DNA Encoded Images 59 3.2 Diffusion Using DNA Operation 60 3.3 Generation of Encrypted Image 61 4 Experimental Result and Security Analysis 62 4.1 Results 62 4.2 Security Analysis 62 4.3 Key Space Analysis 65 4.4 Key Sensitivity 65 5 Conclusions 67 References 67 Computational Intelligence 69 Modeling and Prediction of COVID-19 in India Using Machine Learning 70 1 Introduction 70 2 Materials and Method 72 2.1 Dataset Description 72 2.2 Method 72 3 Result 74 4 Discussion 77 5 Conclusion 77 References 78 Exploring Hand-Crafted Features and Transfer Learning for Polyp Segmentation 79 1 Introduction 79 2 Literature Review 81 3 Proposed Methodology 82 3.1 Preprocessing 82 3.2 Feature Extraction 83 3.3 Classification 83 3.4 Post Processing 83 4 Experimental Results and Discussion 84 4.1 Database Description 84 4.2 Qualitative and Quantitative Evaluation 84 5 Conclusion 86 References 86 A Novel Equilibrium Optimization Technique for Band Selection of Hyperspectral Images 88 1 Introduction 88 2 Prerequisite Methods 90 2.1 Equilibrium Optimization 90 3 Proposed Work 92 4 Experiment and Analysis 94 4.1 Illustration of the Different Data Set 94 4.2 Explanation of Results: 96 5 Conclusion 99 References 100 A Fuzzy Logic Approach to Evaluate Discomfort of Body Parts Among Female Sal Leaf Plate Makers in India 102 1 Introduction 102 2 REBA 104 3 Data Collection and Analysis 105 4 Proposed Methodology 106 5 Evaluation of DSBP Among Female Sal Leaf Plate Makers in India 108 5.1 Comprehensive Discussions 110 6 Conclusions 112 References 113 Multispectral Object Detection with Deep Learning 116 1 Introduction 116 2 Dataset Preparation 118 2.1 Dataset Collection 118 2.2 Data Splitting 119 2.3 Augmentation 119 2.4 Annotation 120 3 Result and Analysis 120 3.1 Experiment Setup 120 3.2 THERMAL Image Dataset Training 121 3.3 RGB and THERMAL Image Dataset Training 123 3.4 THERMAL, NIR and RGB Dataset Training 123 4 Conclusion and Future Work 125 References 126 Pythagorean Fuzzy c-means Clustering Algorithm 129 1 Introduction 129 2 Preliminaries 130 2.1 Distance Measure Between Pythagorean Fuzzy Sets (PFS) [25] 131 2.2 FCM Clustering 131 3 PyFCM Clustering Algorithm 131 3.1 Convergence of PyFCM Clustering Algorithm 132 3.2 Pseudo-Code for PyFCM Clustering Algorithm 133 3.3 Cluster Validity Index [24] 134 3.4 Data Processing 135 3.5 Pythagorean Fuzzy Generator 135 4 Experimental Results 136 4.1 Synthetic Datasets 136 4.2 UCI Datasets 136 4.3 Two Moon Dataset 136 5 A Comparative Analysis 137 6 Conclusions 140 References 140 Data Science and Advanced Data Analytics 142 Application of a New Hybrid MCDM Technique Combining Grey Relational Analysis with AHP-TOPSIS in Ranking of Stocks in the Indian IT Sector 143 1 Introduction 143 2 Related Works 145 3 Theory of Operation 145 3.1 Brief Overview of the Financial and Technical Indicators of Stocks 145 3.2 Detailed Overview of the Proposed Hybrid MCDM Technique 146 4 Experimental Results 148 4.1 Input Data 148 4.2 Results of the Data Analysis 150 4.3 Discussion of the Results of the Data Analysis 157 5 Conclusion 157 References 158 Exploring Knowledge Distillation of a Deep Neural Network for Multi-script Identification 160 1 Introduction 160 1.1 Motivation 161 2 Related Study 162 3 Proposed Model 163 3.1 Model Architecture 163 3.2 Training Detail 166 4 Experimental Results 167 5 Conclusion 171 References 171 A Machine Learning Based Fertilizer Recommendation System for Paddy and Wheat in West Bengal 173 1 Introduction 173 2 Materials and Methods 175 2.1 Collection of Soil Data 175 2.2 Designing the System 176 2.3 Performance Evaluation 177 2.4 Fertilizers to Be Recommended 178 3 Results and Discussions 179 4 Conclusion 182 References 182 Gauging Stress Among Indian Engineering Students 185 1 Introduction 185 2 Literature Review 187 3 Methodology 188 3.1 Diagnostic Test Description 189 3.2 Demographic Details 190 4 Results 191 4.1 Participants and Setting 191 4.2 Data Collection and Analysis 191 5 Conclusion 194 References 194 Intelligent Data Mining and Data Warehousing 197 Deep CNN Based Automatic Detection and Identification of Bengal Tigers 198 1 Introduction 198 2 Related Work 199 2.1 Tiger Detection 199 2.2 Individual Tiger Identification 199 3 Background 200 3.1 Detection Using Tensor Flow Lite and Raspberry Pi 200 3.2 VGG19 Model 201 4 Material and Methods 201 4.1 Data Augmentation 201 4.2 Detection Using Tensor Flow Lite 202 4.3 Individual Identification Using VGG19 202 5 Experiments and Results 202 6 Conclusion 205 References 206 AI Based Automated Model for Plant Disease Detection, a Deep Learning Approach 208 1 Introduction 208 2 Brief Overview of CNN 211 3 Description of the Proposed Model 213 3.1 Image Acquisition 213 3.2 Image Pre-processing 213 3.3 Classification Using CNN 213 4 Experimental Setup 214 5 Results and Discussions 216 6 Conclusion and Future Scope 221 References 221 Gene Expression-Based Prediction of Lung Cancer-Associated Protein-Protein Interactions 223 1 Introduction 223 2 Data and Proposed Methodology 224 2.1 Experimental Dataset 224 2.2 Differential Gene Expression Dataset 225 2.3 Identification of DEGs 225 2.4 Analysis of DEGs Using KEGG Pathway 226 2.5 Survival Analysis of Key Proteins 227 2.6 Building of PPI Network 228 3 Features 228 3.1 Pairwise Sequence Similarity Score 228 3.2 Pairwise Semantic Similarity Score 228 3.3 Pairwise Domain-Domain Similarity Score 228 3.4 ASPL 230 4 Results and Discussion 230 4.1 Construction of 1:1 Balanced Training Dataset 230 4.2 The Classifiers' Efficiency Analysis 230 4.3 Prediction of Lung-Cancer Related PPIs 231 4.4 Analysis of the Predicted PPIs 231 4.5 Survival Analysis of Hub Genes 233 5 Conclusion 234 References 235 ValveCare: A Fuzzy Based Intelligent Model for Predicting Heart Diseases Using Arduino Based IoT Infrastructure 238 1 Introduction 238 2 IoT System Architecture 239 2.1 Design 239 2.2 Software 239 3 Detailed Analysis 241 3.1 Preprocessing 241 3.2 Model 242 3.3 Threshold Finding 243 3.4 Fuzzy Model 244 4 Output Architecture 246 5 Testing 247 6 Comparison with Other Works 247 7 Conclusion 249 References 249 Abstractive Text Summarization Approaches with Analysis of Evaluation Techniques 252 1 Introduction 252 2 Related Works 253 3 Dataset 254 4 Experimental Setup 255 4.1 Pre-processing 256 4.2 Sequence to Sequence Based Networks 256 4.3 Generative Adversarial Based Networks 256 5 Experimentation 258 5.1 Sequence to Sequence Based Model 258 5.2 Generative Adversarial Based Model 259 6 Evaluation 259 7 Results and Analysis 261 8 Discussion and Conclusion 262 References 263 Classification of Colorectal Cancer Histology Images Using Image Reconstruction and Modified DenseNet 268 1 Introduction 268 2 Literature Review 269 3 Proposed Methodology 271 3.1 Dataset Description 272 3.2 Extraction of Encoder Activation Maps 273 3.3 Classification of Cancer Cells 273 4 Results and Discussion 275 4.1 Experimental Setup 275 4.2 Performance Evaluation 275 4.3 Comparative Study 278 5 Conclusion 279 References 279 Author Index 281