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

Description

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 Organization Contents Computational Forensic (Privacy and Security) Quantified Analysis of Security Issues and Its Mitigation in Blockchain Using Game Theory 1 Introduction 2 Existing Security Issues in the Blockchain 2.1 Security Issues 2.2 Game Theory 3 Literature Review 4 Open Research Issues on Blockchain Security for Data Mining 5 Analysis of Simulation Result 5.1 Discussion on Simulation Result 5.2 Comparative Analysis of Model 6 Conclusions Annexure 1 Formalism in the Model Proposed by B. Johnson, A. Laszka et al. [4] Formalism in the Model Proposed by B. Johnson, A. Laszka et al. [6] References Color Image Compressed Sensing Using Modified Stagewise Orthogonal Matching Pursuit 1 Introduction 2 Literature Review 3 Proposed Method 3.1 Complexity Analysis 4 Results and Simulations 5 Comparison 6 Conclusion References Duplicate Frame Detection in Forged Videos Using Sequence Matching 1 Introduction 2 Related Work 3 Proposed Methodology 3.1 Measuring Similarity Between Two Frames 3.2 Detection of Shots in a Video 3.3 Detection of Frame Duplication 4 Experiment Results and Analysis 4.1 Dataset Description 4.2 Evaluation Metrics 4.3 Results and Discussion 5 Conclusion References An Image Encryption Method Using Chaos and DNA Encoding 1 Introduction 2 Preliminaries 2.1 Renyi Map and Tent Map 2.2 DNA Coding and DNA Operations 3 Proposed Image Encryption Method 3.1 Generation of DNA Encoded Images 3.2 Diffusion Using DNA Operation 3.3 Generation of Encrypted Image 4 Experimental Result and Security Analysis 4.1 Results 4.2 Security Analysis 4.3 Key Space Analysis 4.4 Key Sensitivity 5 Conclusions References Computational Intelligence Modeling and Prediction of COVID-19 in India Using Machine Learning 1 Introduction 2 Materials and Method 2.1 Dataset Description 2.2 Method 3 Result 4 Discussion 5 Conclusion References Exploring Hand-Crafted Features and Transfer Learning for Polyp Segmentation 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Preprocessing 3.2 Feature Extraction 3.3 Classification 3.4 Post Processing 4 Experimental Results and Discussion 4.1 Database Description 4.2 Qualitative and Quantitative Evaluation 5 Conclusion References A Novel Equilibrium Optimization Technique for Band Selection of Hyperspectral Images 1 Introduction 2 Prerequisite Methods 2.1 Equilibrium Optimization 3 Proposed Work 4 Experiment and Analysis 4.1 Illustration of the Different Data Set 4.2 Explanation of Results: 5 Conclusion References A Fuzzy Logic Approach to Evaluate Discomfort of Body Parts Among Female Sal Leaf Plate Makers in India 1 Introduction 2 REBA 3 Data Collection and Analysis 4 Proposed Methodology 5 Evaluation of DSBP Among Female Sal Leaf Plate Makers in India 5.1 Comprehensive Discussions 6 Conclusions References Multispectral Object Detection with Deep Learning 1 Introduction 2 Dataset Preparation 2.1 Dataset Collection 2.2 Data Splitting 2.3 Augmentation 2.4 Annotation 3 Result and Analysis 3.1 Experiment Setup 3.2 THERMAL Image Dataset Training 3.3 RGB and THERMAL Image Dataset Training 3.4 THERMAL, NIR and RGB Dataset Training 4 Conclusion and Future Work References Pythagorean Fuzzy c-means Clustering Algorithm 1 Introduction 2 Preliminaries 2.1 Distance Measure Between Pythagorean Fuzzy Sets (PFS) [25] 2.2 FCM Clustering 3 PyFCM Clustering Algorithm 3.1 Convergence of PyFCM Clustering Algorithm 3.2 Pseudo-Code for PyFCM Clustering Algorithm 3.3 Cluster Validity Index [24] 3.4 Data Processing 3.5 Pythagorean Fuzzy Generator 4 Experimental Results 4.1 Synthetic Datasets 4.2 UCI Datasets 4.3 Two Moon Dataset 5 A Comparative Analysis 6 Conclusions References Data Science and Advanced Data Analytics Application of a New Hybrid MCDM Technique Combining Grey Relational Analysis with AHP-TOPSIS in Ranking of Stocks in the Indian IT Sector 1 Introduction 2 Related Works 3 Theory of Operation 3.1 Brief Overview of the Financial and Technical Indicators of Stocks 3.2 Detailed Overview of the Proposed Hybrid MCDM Technique 4 Experimental Results 4.1 Input Data 4.2 Results of the Data Analysis 4.3 Discussion of the Results of the Data Analysis 5 Conclusion References Exploring Knowledge Distillation of a Deep Neural Network for Multi-script Identification 1 Introduction 1.1 Motivation 2 Related Study 3 Proposed Model 3.1 Model Architecture 3.2 Training Detail 4 Experimental Results 5 Conclusion References A Machine Learning Based Fertilizer Recommendation System for Paddy and Wheat in West Bengal 1 Introduction 2 Materials and Methods 2.1 Collection of Soil Data 2.2 Designing the System 2.3 Performance Evaluation 2.4 Fertilizers to Be Recommended 3 Results and Discussions 4 Conclusion References Gauging Stress Among Indian Engineering Students 1 Introduction 2 Literature Review 3 Methodology 3.1 Diagnostic Test Description 3.2 Demographic Details 4 Results 4.1 Participants and Setting 4.2 Data Collection and Analysis 5 Conclusion References Intelligent Data Mining and Data Warehousing Deep CNN Based Automatic Detection and Identification of Bengal Tigers 1 Introduction 2 Related Work 2.1 Tiger Detection 2.2 Individual Tiger Identification 3 Background 3.1 Detection Using Tensor Flow Lite and Raspberry Pi 3.2 VGG19 Model 4 Material and Methods 4.1 Data Augmentation 4.2 Detection Using Tensor Flow Lite 4.3 Individual Identification Using VGG19 5 Experiments and Results 6 Conclusion References AI Based Automated Model for Plant Disease Detection, a Deep Learning Approach 1 Introduction 2 Brief Overview of CNN 3 Description of the Proposed Model 3.1 Image Acquisition 3.2 Image Pre-processing 3.3 Classification Using CNN 4 Experimental Setup 5 Results and Discussions 6 Conclusion and Future Scope References Gene Expression-Based Prediction of Lung Cancer-Associated Protein-Protein Interactions 1 Introduction 2 Data and Proposed Methodology 2.1 Experimental Dataset 2.2 Differential Gene Expression Dataset 2.3 Identification of DEGs 2.4 Analysis of DEGs Using KEGG Pathway 2.5 Survival Analysis of Key Proteins 2.6 Building of PPI Network 3 Features 3.1 Pairwise Sequence Similarity Score 3.2 Pairwise Semantic Similarity Score 3.3 Pairwise Domain-Domain Similarity Score 3.4 ASPL 4 Results and Discussion 4.1 Construction of 1:1 Balanced Training Dataset 4.2 The Classifiers' Efficiency Analysis 4.3 Prediction of Lung-Cancer Related PPIs 4.4 Analysis of the Predicted PPIs 4.5 Survival Analysis of Hub Genes 5 Conclusion References ValveCare: A Fuzzy Based Intelligent Model for Predicting Heart Diseases Using Arduino Based IoT Infrastructure 1 Introduction 2 IoT System Architecture 2.1 Design 2.2 Software 3 Detailed Analysis 3.1 Preprocessing 3.2 Model 3.3 Threshold Finding 3.4 Fuzzy Model 4 Output Architecture 5 Testing 6 Comparison with Other Works 7 Conclusion References Abstractive Text Summarization Approaches with Analysis of Evaluation Techniques 1 Introduction 2 Related Works 3 Dataset 4 Experimental Setup 4.1 Pre-processing 4.2 Sequence to Sequence Based Networks 4.3 Generative Adversarial Based Networks 5 Experimentation 5.1 Sequence to Sequence Based Model 5.2 Generative Adversarial Based Model 6 Evaluation 7 Results and Analysis 8 Discussion and Conclusion References Classification of Colorectal Cancer Histology Images Using Image Reconstruction and Modified DenseNet 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Dataset Description 3.2 Extraction of Encoder Activation Maps 3.3 Classification of Cancer Cells 4 Results and Discussion 4.1 Experimental Setup 4.2 Performance Evaluation 4.3 Comparative Study 5 Conclusion References Author Index