Intelligent Computing Systems and Applications
Select Proceedings of the International Conference, ICICSA 2022
Series: Lecture Notes in Networks and Systems; 1307;
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Product details:
- Publisher Springer Nature Singapore
- Date of Publication 27 September 2025
- Number of Volumes 1 pieces, Book
- ISBN 9789819638598
- Binding Paperback
- No. of pages655 pages
- Size 235x155 mm
- Language English
- Illustrations IX, 655 p. 304 illus., 242 illus. in color. Illustrations, black & white 690
Categories
Long description:
This book contains peer-reviewed papers that were presented at the 1st International Conference on Intelligent Computing Systems and Applications (ICICSA 2022). It explores the latest advancements in fields such as artificial intelligence, machine learning, data science, natural language processing, computer vision, image processing, embedded systems, robotics, the Internet of Things (IoT), computer networking and communications, optimization, as well as security and cryptography. Additionally, the book delves into various application areas and modeling methodologies across multiple disciplines. It serves as a valuable resource for researchers and academics working in these relevant fields.
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Table of Contents:
1. An Intelligent Swarm based Intrusion Detection Framework for Securing IoT Environment.- 2. Machine Learning Expert System for Breast Cancer Detection.- 3. Comparative Analysis of Neural Machine Translation Models for Low resource English-Assamese Language Pair.- 4. Data Balancing In Darknet Traffic Classification Using Deep Learning.- 5. Adaptive rank-based switching vector median filter for removing impulse noise from color medical image.- 6. Using stacking ensemble method for rental bike prediction.- 7. Efficacy of Recurrent Neural Networks in rainfall forecasting A case study of Shillong weather data.- 8. Analysis of AprioriAll Sequence Mining Algorithm using Hash and TRIE with Database Scan Reduction.- 9. A Review on FPGA based CNN Accelerators.- 10. Optimum-time Graph theoretic path planning with Multi Sensor Fusion for AGV.
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