Communication and Intelligent Systems
Proceedings of ICCIS 2024, Volume 1
Series: Lecture Notes in Networks and Systems; 1371;
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Product details:
- Publisher Springer Nature Singapore
- Date of Publication 27 September 2025
- Number of Volumes 1 pieces, Book
- ISBN 9789819657223
- Binding Paperback
- No. of pages519 pages
- Size 235x155 mm
- Language English
- Illustrations XX, 519 p. 178 illus., 138 illus. in color. Illustrations, black & white 699
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Long description:
"
This book gathers selected research papers presented at the Sixth International Conference on Communication and Intelligent Systems (ICCIS 2024), organized by Maulana Azad National Institute of Technology (MANIT), Bhopal, India, during November 8–9, 2024. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes to make the latest results available in a single, readily accessible source. The work is presented in four volumes.
" MoreTable of Contents:
Type 2 diabetes mellitus early detection with machine learning-based prediction modalities.- Prediction Optimization for Type 2 Diabetes Mellitus Using Artificial Neural Networks.- Adaptive Image Denoising using Expectation Maximization Algorithm.- Batting Position-Specific Weight Determination: Impact on Bowling Performance Measurement.- TopicMapper: Geotagged URL Topic Extraction and Categorization.- Unlocking Bowling Performance Insights through Sports Analytics.- Exploiting Side Information with Variational Autoencoders for Movies Recommender Systems.- A Hybrid Weighted Loss Function for Enhanced Protein Interaction Site Prediction.- Comprehensive Approach to Detect and Prevent Reconnaissance Attack.- SqueezeNet & AlexNet Ensemble Model based Stroke Classification.- etc.
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