Overview

This three-volume set CCIS 2861-2863 constitutes the refereed proceedings of the 7th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2025, held in Kolkata, India, during July 4-6, 2025. The 100 full papers presented in these volumes were carefully reviewed and selected from 311 submissions. The papers are organized into thematic tracks as follows:Computational Intelligence; Data Communication; and Analytics and Application.

Full Product Details

Author:   Kartick Chandra Mondal ,  Munmun Bhattacharya ,  Parama Bhaumik ,  Somnath Mukhopadhyay
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032171801

ISBN 10:   3032171806
Publication Date:   20 February 2026
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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Table of Contents

.- Computational Intelligence Track .- Multi-Scale Attention Transformer Efficient Network (MATE-Net) for Polyp Segmentation. .- Enhancing Disease Prediction using Advanced Machine Learning Algorithms. .- An Efficient Approach for Determining Optimal Number of Clusters using Binary Search and Cluster Validity Indices. .- Using Features of Differential Dermal Potentials to Distinguish Sport Performers from Non-performers. .- DLR-CovNet: Dual-Scale Lightweight Residual Network for Efficient COVID-19 Classification. .- An Automated Approach for Temporal Attack Graph Dataset Generation. .- Comparative Analysis of Abstractive Summarization Models for Clinical Radiology Reports. .- A Correlation Guided Deep Feature Selection from Chest X-Ray Images: A Case Study on Automatic Detection of Pneumonia and COVID-19. .- Harnessing the True Potential of LLMs: Iterative Self-Improvement for Competitive Performance. .- Multimodal Retrieval of Scientific Articles by Integrating Textual and Visual Embeddings. .- Enhanced Skin Cancer Detection Using a Hybrid CNN-Transformer Model with Attention Mechanism. .- Harris Hawk Optimization for Rumor Detection on Social Media Using Machine Learning and Explainable AI Techniques. .- Closing the Lexical-Semantic Divide: A Unified Approach for Retrieval-Augmented Generation. .- Sensor-Based Activity Classification for Health Monitoring of Elderly People using a Deep Convolutional Neural Network. .- Advancement of Supervised Machine Learning Algorithms for Risk Assessment in the Insurance Industry. .- An Approach to Named Entity Recognition for Aviation Text. .- Adaptive Multimodal Threat Detection Using Hybrid Graph Convolutional Transformers and Dynamic Harris Hawks Optimization. .- A Hybrid Soft Computing Framework for Emotion-Driven Crime Prediction Using Multi-Modal Intelligence. .- Comparative Analysis of Machine Learning Techniques for Classification of Millet Seeds. .- Structural Integrity: A Smart Model for Construction Health Monitoring Based on Event-B. .- Enhanced AI Framework for Precise Crater Detection and Planetary Surface Analysis. .- Blockchain Node Intelligence based on Decentralized Framework. .- BioFusionNet: A Practical Approach for Deepfake Detection. .- Leveraging Custom Scalable CNN Framework for Efficient Plant Disease Classification. .- AVENT: A Virtual Reality-Based Teleconferencing Application. .- Real-Time Driver Drowsiness Detection Using CNN-Based Eye Blink Analysis for Accident Prevention. .- Vision-Based Augmentative and Alternative Communication (AAC) System for Eye-Blink-Based Communication in Individuals with Paralysis. .- Transfer Learning-based Deep Feature Resampling for Imbalanced Leaf Disease Classification. .- A Comparative Analysis of Transformer-Based Rainfall-Runoff Modeling with Adam and RAdam Optimization Techniques. .- Identify Researchers’ Credibility on Citation using Self-Citation Detection by Author Name Disambiguation. .- Meta-Analysis in Agricultural Research: Unveiling Climate Change Impacts on the Yields Gap Studies. .- Brain tumor segmentation using enhanced and improved ResUNet++.

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