Artificial Intelligence and Sustainable Computing : Proceedings of ICSISCET 2021 / / edited by Manjaree Pandit, M. K. Gaur, Prashant Singh Rana, Akhilesh Tiwari

• Record Nr.: UNINA9910631094803321
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
• ISBN: 981-19-1653-5
• Edizione: [1st ed. 2022.]
• Descrizione fisica: 1 online resource (757 pages)
• Collana: Algorithms for Intelligent Systems, , 2524-7573
• Disciplina: 006.3
• Soggetti: Computational intelligence; Embedded computer systems; Internet of things; Machine learning; Computational Intelligence; Embedded Systems; Internet of Things; Machine Learning
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Demand based Land Suitability Prediction Model for Sustainable Agriculture -- Power Generation Forecasting of Wind Farms using Machine Learning Algorithms -- Music Recommendation System Based on Emotion Detection -- Service Analytics on ITSM Processes using Time Series -- Comparative Analysis of Color-based Segmentation Methods Used for Smartphone Camera Captured Fingerphotos -- Prediction of Heart Disease through KNN, Random Forest and Decision Tree Classifier using K-Fold Cross Validation -- Distance Matrix Generation for Dynamic Vehicle Routing Optimization in Transport Fleets Management -- Enhancing Weighted Support Vector Machine for Noise Classification -- Optimized Hysteresis Region Authenticated Handover for 5G HetNets -- Performance Improvement of CTNR Protocol in Wireless Sensor Network Using Machine Learning.
• Sommario/riassunto: This book presents high-quality research papers presented at 3rd International Conference on Sustainable and Innovative Solutions for ; Current Challenges in Engineering and Technology (ICSISCET 2021) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 13–14, 2021. The book extensively covers recent research in artificial intelligence (AI) that knits 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.