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Artificial intelligence and sustainable computing = proceedings of ICSISCET 2024.. Volume 2 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence and sustainable computing/ edited by Manjaree Pandit, M. K. Gaur, Sandeep Kumar.
Reminder of title:	proceedings of ICSISCET 2024.
remainder title:	ICSISCET 2024
other author:	Pandit, Manjaree.
corporate name:	International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xii, 214 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-3337-1
ISBN:	9789819633371

Artificial intelligence and sustainable computing = proceedings of ICSISCET 2024.. Volume 2 /
Artificial intelligence and sustainable computingproceedings of ICSISCET 2024.Volume 2 /[electronic resource] :ICSISCET 2024edited by Manjaree Pandit, M. K. Gaur, Sandeep Kumar. - Singapore :Springer Nature Singapore :2025. - xii, 214 p. :ill. (some col.), digital ;24 cm. - Algorithms for intelligent systems,2524-7573. - Algorithms for intelligent systems..

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.

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.

ISBN: 9789819633371

Standard No.: 10.1007/978-981-96-3337-1doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334

Dewey Class. No.: 006.3

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505 0 $a 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.
520 $a 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.
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700 1 $a Gaur, M. K. $3 3666612
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