Produktbild: Computational Intelligence in Communications and Business Analytics
Band 2861

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

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.04.2026

Abbildungen

XVIII, 208 illus., 185 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Kartick Chandra Mondal + weitere

Verlag

Springer

Seitenzahl

474

Maße (L/B/H)

23.5/15.5/2.7 cm

Gewicht

739 g

Sprache

Englisch

ISBN

978-3-032-17180-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.04.2026

Abbildungen

XVIII, 208 illus., 185 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

474

Maße (L/B/H)

23.5/15.5/2.7 cm

Gewicht

739 g

Sprache

Englisch

ISBN

978-3-032-17180-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Computational Intelligence in Communications and Business Analytics
  • .- 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++.