000			03828nam a22004095i 4500
001			394322
003			ES-MaUEC
005			20230102123119.0
007			cr nn 008mamaa
008			221031s2022 si | s |||| 0|eng d
020			_a9789811923500
024	7		_a10.1007/978-981-19-2350-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aProceedings of the International Conference on Cognitive and Intelligent Computing _bICCIC 2021, Volume 1 _cedited by Amit Kumar, Gheorghita Ghinea, Suresh Merugu, Takako Hashimoto
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XI, 925 páginas) _b503 ilustraciones, 399 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aCognitive Science and Technology _x2195-3996
505	0		_a1. An Extensive Survey of Deep learning-based Crop Yield Prediction Models for Precision Agriculture -- 2. Performance Analysis of Routing Protocols for Wireless Sensor Networks -- 3. LS-TFP: A LSTM-Based Traffic Flow Prediction Method in Intelligent Internet of Things -- 4. Prediction of Deformed Shape inIncremental Sheet Forming Processusing Feedforward Neural Network -- 5. IoT Based Environmental Parameter Monitoring Using Machine Learning Approach.
520			_aThis book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC - 2021), held on December 11-12, 2021, at Hyderabad, India. The proceedings has cutting edge Research outcome related to Machine learning in control applications, Soft computing, Pattern Recognition, Decision Support Systems, Text analytics and NLP, Statistical Learning, Neural Network Learning, Learning Through Fuzzy Logic, Learning Through Evolution (Evolutionary Algorithms), Reinforcement Learning, Multi-Strategy Learning, Cooperative Learning, Planning And Learning, Multi-Agent Learning, Online And Incremental Learning, Scalability Of Learning Algorithms, Inductive Learning, Inductive Logic Programming, Bayesian Networks, Support Vector Machines, Case-Based Reasoning, Multi-Agent Systems, Human-Computer Interaction, Data Mining and Knowledge Discovery, Knowledge Management and Networks, Data Intensive Computing Architecture, Medicine, Health, Bioinformatics, and Systems Biology, Industrial and Engineering Applications, Security Applications, Smart Cities, Game Playing and Problem Solving, Intelligent Virtual Environments, Economics, Business, And Forecasting Applications. Articles in the book are carefully selected on the basis of their application orientation. The content is expected to be especially useful for Professionals, Researchers, Research students working in the area of cognitive and intelligent computing.
700	1		_aKumar, Amit _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGhinea, Gheorghita _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMerugu, Suresh _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aHashimoto, Takako _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811923494
776	0	8	_iPrinted edition: _z9789811923517
776	0	8	_iPrinted edition: _z9789811923524
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-2350-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Computer_2022
999			_c394322 _d394322