Proceedings of International Conference on Computational Intelligence and Information Retrieval : ICCIIR 2025, Volume 2 / edited by Soumi Dutta, Abhishek Bhattacharya, Sanku Bose, Zdzisław Polkowski.

Format:

Book

Author/Creator:

Dutta, Soumi.

Contributor:

Dutta

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1617

Language:

English

Subjects (All):

Computational intelligence.

Information storage and retrieval systems.

Artificial intelligence.

Computational Intelligence.

Information Storage and Retrieval.

Artificial Intelligence.

Local Subjects:

Computational Intelligence.

Information Storage and Retrieval.

Artificial Intelligence.

Physical Description:

1 online resource (766 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-04539-8

9783032045393

OCLC:

1573147475