E-raamat: Proceedings of International Conference on Computational Intelligence and Information Retrieval: ICCIIR 2025, Volume 2

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 Huntingtons 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.

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 Rectors 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.