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

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (XII, 214 p. 90 illus., 59 illus. in color.)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Electronic circuits; Cooperating objects (Computer systems); Internet of things; Computational Intelligence; Electronic Circuits and Systems; Cyber-Physical Systems; Internet of Things
• Persona (resp. second.): PanditManjaree; GaurM. K; KumarSandeep
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Artificial intelligence and sustainable computing
• ISBN: 981-9633-37-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911001471003321
• Lo trovi qui: Univ. Federico II
• Serie: Algorithms for Intelligent Systems, . 2524-7573