Del 2861 i serien Communications in Computer and Information Science

Computational Intelligence in Communications and Business Analytics

7th International Conference, CICBA 2025, Kolkata, India, July 4–6, 2025, Revised Selected Papers, Part I

Häftad, Engelska, 2026

AvKartick Chandra Mondal,Munmun Bhattacharya,Parama Bhaumik,Somnath Mukhopadhyay,Jyotsna K. Mandal,Paramartha Dutta

2 219 kr

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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.

Produktinformation

Utgivningsdatum2026-04-21
Mått155 x 235 x 27 mm
Vikt739 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor474
FörlagSpringer Nature Switzerland AG
ISBN9783032171801

Tillhör följande kategorier

Referensverk och tvärvetenskap inom Samhälle och politik
Hårdvara inom Data och IT
Programmeringsböcker inom Data och IT
Artificiell intelligens inom Data och IT

.- 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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Del 2861 i serien Communications in Computer and Information Science

Computational Intelligence in Communications and Business Analytics

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Häftad, Engelska, 2026

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Produktinformation

Utgivningsdatum2026-04-21
Mått155 x 235 x 27 mm
Vikt739 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor474
FörlagSpringer Nature Switzerland AG
ISBN9783032171801

Tillhör följande kategorier

Referensverk och tvärvetenskap inom Samhälle och politik
Hårdvara inom Data och IT
Programmeringsböcker inom Data och IT
Artificiell intelligens inom Data och IT

.- 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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