Computational Intelligence in Communications and Business Analytics by Dutta, Paramartha; Mandal, Jyotsna K.; Mukhopadhyay, Somnath;

Long 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.

Table of Contents:

Computational Forensic (Privacy and Security).- Quantified Analysis of Security Issues and its Mitigation in Blockchain using Game Theory.- Color Image Compressed Sensing using Modified Stagewise Orthogonal Matching Pursuit.- Duplicate Frame Detection in Forged Videos using Sequence Matching.- LISA - An Instrumental separation system based on lead instrument.- An Image Encryption method using Chaos and DNA Encoding.- Efficient Quantum Implementation of Majority-based Full Adder circuit using Clifford+T-group.- Recurrent Neural Network and Metaheuristics Search: A New Approach for Encryption Key Generation in Cryptographic Engineering.- Computational Intelligence.- Modeling and prediction of COVID-19 in India using machine learning.- Exploring Hand-crafted Features and Transfer Learning for Polyp Segmentation.- A Survey on Feature Extraction Methods For Handwriting Biometric.- A Novel Equilibrium Optimization Technique for band selection of hyperspectral images.- A Fuzzy Logic Approach to Evaluate Discomfort of Body Parts among Female Sal Leaf Plate Makers in India.- Towards a Smart Indoor Parking System.- Multispectral Object Detection with Deep Learning.- Pythagorean Fuzzy C-means Clustering Algorithm.- 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.- Utility Function-based Active Multi-stakeholder Personalized Recommendation System.- Stock Price Prediction Using CABC Trained Neural Network.- Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script Identification.- A Machine Learning Base Fertilizer Recommendation System for Paddy and Wheat in West Bengal.- Gauging Stress and its effect during COVID among Indian Engineering Students.- Intelligent Data Mining and Data Warehousing.- Deep CNN based Automatic Detection and Identification of Bengal Tigers.- A Convolutional Neural Network Model for Automatic Detection of Plant Diseases.- Gene Expression-based Prediction of Lung Cancer Associated Protein-Protein Interactions.- Knowledge Discovery of Sundarban Mangrove Species: A Way Forward for Managing Species Biodiversity.- Valve Care: A Fuzzy Based Intelligent Model for Predicting Heart Diseases using Arduino Based IoT Infrastructure.- Abstractive Text Summarization Approaches with Analysis of Evaluation Techniques.- Classification of Colorectal Cancer Histology Images using Image Reconstruction and Modified DenseNet.