Artificial Intelligence and Sustainable Computing : Proceedings of ICSISCET 2024, Volume 2 / edited by Manjaree Pandit, M. K. Gaur, Sandeep Kumar.

Format:

Book

Contributor:

Pandit, Manjaree., Editor.

Gaur, M. K., Editor.

Kumar, Sandeep, Editor.

Series:

Algorithms for Intelligent Systems, 2524-7573

Language:

English

Subjects (All):

Computational intelligence.

Electronic circuits.

Cooperating objects (Computer systems).

Internet of things.

Computational Intelligence.

Electronic Circuits and Systems.

Cyber-Physical Systems.

Internet of Things.

Local Subjects:

Computational Intelligence.

Electronic Circuits and Systems.

Cyber-Physical Systems.

Internet of Things.

Physical Description:

1 online resource (XII, 214 p. 90 illus., 59 illus. in color.)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9633-37-0

OCLC:

1519414845