Sustainable Computing and Intelligent Systems
Proceedings of SCIS 2024, Volume 1
Series: Lecture Notes in Networks and Systems; 1295;
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Product details:
- Publisher Springer Nature Singapore
- Date of Publication 8 May 2025
- Number of Volumes 1 pieces, Book
- ISBN 9789819633104
- Binding Paperback
- No. of pages270 pages
- Size 235x155 mm
- Language English
- Illustrations XIX, 270 p. 80 illus., 67 illus. in color. Illustrations, black & white 660
Categories
Long description:
This book presents selected papers from International Conference on Sustainable Computing and Intelligent Systems (SCIS 2024), held on 9–10 September 2024, in University of Canberra, Bruce, Australia. The topics covered in the book are green computing, renewable energy integration, sustainable urban computing, IoT and sustainability, sustainable IoT applications, data analytics for sustainability, internet of things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, intelligent IoT eHealth, bio-inspired intelligence, brain modeling and simulation, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, hybrid systems and intelligence for security.
MoreTable of Contents:
Chapter 1: IntrusionGuard: An Approach to Intrusion Detection in Next-Generation Networks.- Chapter 2: A Novel Secure IoT-Based Smart Home Automation and Energy Management System for Mitigating Energy Crisis.- Chapter 3: A Study on Revolutionizing Video Interviews and Meetings: AdaBoost Approach for Attention and Personality Identification.- Chapter 4: Mitigating Hallucinations in Large Language Models: A Comprehensive Survey on Detection and Reduction Strategies.- Chapter 5: FastText Based Siamese Network for Hindi Semantic Textual Similarity.- Chapter 6: GPAuth: A Graphical Password Authentication System for Enhanced Security and Usability.- Chapter 7: Enhancing Sustainable Wastewater Management: A Comparative Analysis of IoT-Driven Systems.- Chapter 8: Optimizing Uncertainty in Placement Prediction using Bayesian Belief Networks and LLMs.- Chapter 9: Integrating AI with Synthetic Biology for Custom Enzyme Design.- Chapter 10: Systemic Information Use Methods for Activity Problem-solving.- etc.
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