{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":1,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":22,"n_cols":5,"rows_kept":22,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[3,2,3,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[16,2,16,3],[17,2,17,3],[19,2,19,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9911001471003321"]
[null,null,"Titolo",null,"Artificial Intelligence and Sustainable Computing : Proceedings of ICSISCET 2024, Volume 2 / / edited by Manjaree Pandit, M. K. Gaur, Sandeep Kumar"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"981-9633-37-0"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XII, 214 p. 90 illus., 59 illus. in color.)"]
[null,null,"Collana",null,"Algorithms for Intelligent Systems, , 2524-7573"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Electronic circuits"]
[{"$nulls":4},"Cooperating objects (Computer systems)"]
[{"$nulls":4},"Internet of things"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Electronic Circuits and Systems"]
[{"$nulls":4},"Cyber-Physical Systems"]
[{"$nulls":4},"Internet of Things"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"1. Enhanced Vehicle Identification Using YOLOv8 with Counter-Based Grouping for Improved Real-Time Performance -- 2. A new approach to replica placement exploiting locality in large-scale distributed systems -- 3. Deep Learning Framework for Pre-surgical Risk Assessment of Mandibular Wisdom Teeth: Implications of Image Enhancements -- 4. Next-Gen College CRM: Leveraging BERT for Student Feedback Classification in a Full Stack Framework -- 5. Handling missing data in real-time big data using the Linear-Blend approach -- 6. Optimizing Ectopic Pregnancy Detection through Predictive Modeling and Machine Learning -- 7. Optimizing Crop Yield Prediction and Disease Detection in Precision Agriculture using Machine Learning Techniques -- 8. Study on Non-Invasive, Non-Contact Heart Rate Detection from Facial Video -- 9. Optimized Waste Classification Management in Smart Cities using Deep Learning -- 10. Health Risk Prediction in IoT-based Environments Using Gradient Boosting Machines."]
[null,null,null,"Sommario/riassunto","This book presents high-quality research papers presented at the 6th "]
[{"$nulls":4},"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."]