Artificial Intelligence and Sustainable Computing Proceedings of ICSISCET 2021 / edited by Manjaree Pandit, M K Gaur, Prashant Singh Rana, Akhilesh Tiwari
Contributor(s): Pandit, Manjaree, editor literario | Gaur, M. K, editor literario | Rana, Prashant Singh, editor literario | Tiwari, Akhilesh, editor literario
Series: (Algorithms for Intelligent Systems, 2524-7573).Publisher: Singapore : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XXI, 763 páginas) : 423 ilustraciones, 277 ilustraciones a color.ISBN: 9789811916533.Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Acceso electrónico | eBook.25122694 |
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.
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.
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