Proceedings of International Conference on Computational Intelligence and Information Retrieval : ICCIIR 2025, Volume 2 (Lecture Notes in Networks and Systems)

Dutta, Soumi (EDT)/ Bhattacharya, Abhishek (EDT)/ Bose, Sanku (EDT)

Springer Nature Switzerland AG（2025/11発売）

• 製本 Paperback:紙装版/ペーパーバック版
• 言語 ENG
• 商品コード 9783032045386

Full Description

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.

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.