04198nam 22006375 450 991100147100332120250503130204.0981-9633-37-010.1007/978-981-96-3337-1(CKB)38753592200041(DE-He213)978-981-96-3337-1(MiAaPQ)EBC32077304(Au-PeEL)EBL32077304(EXLCZ)993875359220004120250503d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierArtificial Intelligence and Sustainable Computing Proceedings of ICSISCET 2024, Volume 2 /edited by Manjaree Pandit, M. K. Gaur, Sandeep Kumar1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (XII, 214 p. 90 illus., 59 illus. in color.) Algorithms for Intelligent Systems,2524-7573981-9633-36-2 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.Algorithms for Intelligent Systems,2524-7573Computational intelligenceElectronic circuitsCooperating objects (Computer systems)Internet of thingsComputational IntelligenceElectronic Circuits and SystemsCyber-Physical SystemsInternet of ThingsComputational intelligence.Electronic circuits.Cooperating objects (Computer systems)Internet of things.Computational Intelligence.Electronic Circuits and Systems.Cyber-Physical Systems.Internet of Things.006.3Pandit Manjareeedthttp://id.loc.gov/vocabulary/relators/edtGaur M. Kedthttp://id.loc.gov/vocabulary/relators/edtKumar Sandeepedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9911001471003321Artificial intelligence and sustainable computing2816721UNINA