About the Book
This book features best selected research papers presented at International Conference on Computational Intelligence and Information Retrieval (CIIR 2025) held at Sister Nivedita University, West Bengal, India, during April 24–25, 2025. It comprises high-quality research work by academicians and industrial experts in the field of computational intelligence, pattern recognition, information retrieval, data science and data analytics, advance computing, and artificial intelligence.
Table of Contents:
Part 1: Data Science and Data Analytics.- Frontiers of Intelligence: Exploring Machine Learning in Natural Language Processing, Automated Problem Solving, and Beyond.- Scalable Solar Energy Prediction Using Machine Learning for Off-Grid Areas.- An Optimized Hard Voting Classifier for Early Lung Cancer Detection and Classification from CT Imaging by Leveraging a Combination of Deep Learning and Machine Learning Models.- Phishing Detection Using Machine Learning for English and Multilingual Models.- AI-Powered Early Detection and Intervention for Learning Disabilities Transforming Special Education with Machine Learning.- Comparative Analysis of Traditional and Deep Learning Models for Lung Cancer Prediction Using Machine Learning.- A machine learning approach to Predict, Optimise & Build fantasy Cricket teams using evolutionary algorithm.- A Comparative Study of Machine Learning Algorithms for Predicting Engineering and Technology Admissions.- Green Machine Learning (GML): Energy-Aware Approaches for Sustainable Computing.- Detection of Lemon Leaf Diseases Using Inception V3-Based Machine Learning Model.- Early Diabetic Detection Using Optimized Ensemble Machine Learning: A Comparative Evaluation.- Enhancing Renewable Energy and Solar Grid Efficiency Using Machine Learning.- A Comparative Analysis of Machine Learning Models for Chronic Kidney Disease Prediction.- Transforming Huntington’s Disease Research with Machine Learning and Deep Learning Techniques.- Crop and Fertilizer Recommendation System Using Machine Learning.- Revolutionizing Accessibility: A Machine Learning Approach to Braille Conversion.- Part 2: Advance Computing.- Study of Blockchain & IOT-based Architecture design for Banking Service.- Leveraging Blockchain and AI for Securing Online Competitive Examinations.- Quantum-Resistant Blockchain Framework for Securing IoT Networks.- Strengthening IoT System Security with Lightweight Cryptography and Blockchain Integration.- Optimizing Urban Traffic Management in Bangladesh Using AI, IoT and Advanced Algorithms: A Modified YOLO Approach.- A Comparative Performance Analysis of Delay Tolerant Network (DTN) Routing Protocols.- EMG Signal Analysis and Classification Using Residual Network.- Multimodal technique for improving biometric validation system.- Improving the Suggestion Making Accuracy of FLeCCS Using Semantics.- Advanced Signal Processing Models in Smart Home Systems.- A Deep Learning Method for Buccal Dental Microwear Analysis in Late Prehistory Groups from Northeastern Iberian Peninsula.- Elastic Weight Consolidation-Driven Deep Continual Learning Framework for Tamil Handwritten Character Recognition in Ancient Palm Leaf Manuscripts.- E-commerce Conversion Rates and Customer Satisfaction through Neural Collaborative Filtering Recommendations.- Improved Plant Disease Identification with CNN's GLCM and KNN Fusion.- Part 3: Artificial Intelligence.- StreetSmart: AI-Powered Adaptive Pricing System for Small-Scale Vendors in Local Markets.- AI-Integrated Real-Time Sign Language Recognition: SIGN BRIDGE.- Assessing the Environmental Impact of Cloud-Based AI: Strategies for Green Prompt Engineering in Large-Scale Applications.- Intelligent blended agents (IBAs) to promote computational behavior and design thinking In the Cyborg Education 7.0 Manifesto for Future of AI-Augmented Sociology Education.- Navigating the impact of Augmentation computing Intelligence, AI literacy, and human integration in English language education 7.0 by using CALLedA (Computer-Assisted Language Learning and Augmented) Model.- AI-Driven Green HRM Practices and Environmental Sustainability: A Bibliometric Analysis.- System Fault Classification and Performance Analysis using Transfer Learning in Pre-Trained Deep Networks.- Improving Diagnosis and Treatment Planning for Heart Diseases Using Virtual Reality Integrated with Explainable AI.- Brain Tumor Detection through Thermal Imaging and MobileNET.- A Deep Learning based Approaches for Terrain Classification: A Comparative Study.- Sustainable HRM in the Age of AI: Evaluating Green and Non-Green Business Roles and Impacts.- Smart Recycling Assistant: An Integrated AI-Powered Waste Classification and Management System.- Protechta - AI Powered Phishing Domain Detection.
About the Author :
Dr. Soumi Dutta is Associate Professor at Sister Nivedita University (SNU) at New Town, Kolkata, India. She has completed her Ph.D. (CST), IIEST, Shibpur. She received her B.Tech. (IT) and M.Tech. (CSE) securing 1st position (Gold medallist), from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020, and Certified Microsoft Innovative Educator, 2020. Her research interests are data mining, information retrieval, online social media analysis, and image processing. She has published more than 40 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. She has 25 book and book chapters in Taylor & Francis Group and IGI Global. She is Peer Reviewer and TPC Member in different international journals. She is Active Member of several technical functional bodies such as ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG. She has published 8 patents and 1 copyright.
Dr. Abhishek Bhattacharya is Associate Professor at Sister Nivedita University, India. He has completed his Ph.D. (CSE), BIT, Mesra. He is certified as Publons Academy Peer Reviewer, 2020. His research interests are data mining, cyber security, and mobile computing. He has published 55 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. He has 3 book chapters in Taylor & Francis Group EAI. He is Peer Reviewer and TPC Member in different international journals. He was Editor in IEMIS 2020, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023, and special issues in IJWLTT. He is Member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG. He has published 3 patents and 15 books.
Dr. Sanku Bose is currently Group Chief Executive Officer of Techno India Group. Past, Dr. Bose served as President and Global CEO of JK Technosoft (JKT), a holding company of the 140+ year old prestigious US$5Bn+ JK Group, led by the Singhanias. Dr. Bose is Accomplished, Visionary, Resourceful, and Goal-Oriented Professional with over twenty-eight years of management and technology consulting experience with Big 4 consulting firms and leading organizations globally. Dr. Bose has strong transformational leadership ability, with proven expertise in leading business transformation programs for Fortune 500 clients and building and directing highly effective teams. Dr. Bose is Unique Strategist, with a career track record of transforming organizations and supporting critical business operations within diverse industries. Dr. Bose has global background, with demonstrated success in delivering multi-million dollar global business transformation programs across 40+ countries.
Dr. Zdzislaw Polkowski is Professor of UJW at Faculty of Technical Sciences and Rector's Representative for International Cooperation and Erasmus+ Program at the Jan Wyzykowski University Polkowice. Since 2019 he is also Adjunct Professor in Department of Business Intelligence in Management, Wroclaw University of Economics and Business, Poland. Since 2021 Zdzislaw Polkowski collaborates with The Karkonosze State University of Applied Sciences in Jelenia Góra, Poland. Moreover, he is Visiting Professor in University of Pitesti, Romania, WSG University Bydgoszcz, Poland, and Adjunct Professor in Marwadi University, India. He is Former Dean of the Technical Sciences Faculty during the period 2009-2012 at UZZM in Lubin.
