Computational intelligence in communications and business analytics : 7th International Conference, CICBA 2025, Kolkata, India, July 4-6, 2025, Revised selected papers. Part I /
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 careful...
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| Other Authors: | , , , , , |
| Format: | Conference Proceeding eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2026.
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| Series: | Communications in computer and information science ;
2861. |
| Subjects: |
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++.