E-raamat: Computational Intelligence in Communications and Business Analytics: 7th International Conference, CICBA 2025, Kolkata, India, July 4-6, 2025, Revised Selected Papers, Part I

.- 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++.