Artificial Intelligence and Sustainable Computing : Proceedings of ICSISCET 2024, Volume 2 (Algorithms for Intelligent Systems)

Pandit, Manjaree (EDT)/ Gaur, M. K. (EDT)/ Kumar, Sandeep (EDT)

Springer Nature Switzerland AG（2025/06発売）

• 製本 Hardcover:ハードカバー版／ページ数 206 p.
• 言語 ENG
• 商品コード 9789819633364

Full Description

This book presents high-quality research papers presented at the 6th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2024) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, during October 26-27, 2024. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.

Contents

1. Enhanced Vehicle Identification Using YOLOv8 with Counter-Based Grouping for Improved Real-Time Performance.- 2. A new approach to replica placement exploiting locality in large-scale distributed systems.- 3. Deep Learning Framework for Pre-surgical Risk Assessment of Mandibular Wisdom Teeth: Implications of Image Enhancements.- 4. Next-Gen College CRM: Leveraging BERT for Student Feedback Classification in a Full Stack Framework.- 5. Handling missing data in real-time big data using the Linear-Blend approach.- 6. Optimizing Ectopic Pregnancy Detection through Predictive Modeling and Machine Learning.- 7. Optimizing Crop Yield Prediction and Disease Detection in Precision Agriculture using Machine Learning Techniques.- 8. Study on Non-Invasive, Non-Contact Heart Rate Detection from Facial Video.- 9. Optimized Waste Classification Management in Smart Cities using Deep Learning.- 10. Health Risk Prediction in IoT-based Environments Using Gradient Boosting Machines.