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007			cr nn 008mamaa
008			221115s2022 si | s |||| 0|eng d
020			_a9789811916533
024	7		_a10.1007/978-981-19-1653-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aArtificial Intelligence and Sustainable Computing _bProceedings of ICSISCET 2021 _cedited by Manjaree Pandit, M K Gaur, Prashant Singh Rana, Akhilesh Tiwari
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXI, 763 páginas) _b423 ilustraciones, 277 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aAlgorithms for Intelligent Systems _x2524-7573
505	0		_aDemand 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.
520			_aThis 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.
700	1		_aPandit, Manjaree _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGaur, M. K _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aRana, Prashant Singh _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTiwari, Akhilesh _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811916526
776	0	8	_iPrinted edition: _z9789811916540
776	0	8	_iPrinted edition: _z9789811916557
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-1653-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Robotics_2022
999			_c394425 _d394425