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020			_a9789811695735
024	7		_a10.1007/978-981-16-9573-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1634 _b2022 EB
245	0	0	_aComputational Vision and Bio-Inspired Computing : _bProceedings of ICCVBIC 2021 _cedited by S. Smys, João Manuel R. S. Tavares, Valentina Emilia Balas
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XVIII, 893 páginas) _b508 ilustraciones, 365 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aAdvances in Intelligent Systems and Computing _x2194-5365 _v1420
505	0		_aMolecular Docking Analysis of Selected Phytochemicals for The Treatment of Proteus Syndrome -- A Deep Learning Based Detection of Wrinkles on Skin -- Image Transmission using Leach and Security using RSA in Wireless Sensor Networks -- Code Injection Prevention in Content Management Systems using Machine Learning -- A Review of Hyperspectral Image Classification with various Segmentation approaches based on Labelled Samples -- Improvements in user Targeted Offline Advertising using CNN and Deviation-based Queue Scheduling -- Movie Recommendation System using Hybrid Collaborative filtering Model -- Hybrid Pipeline Infinity Laplacian Plus Convolutional Stage Applied to Depth Completion -- A Novel approach of DEMOO with SLA Algorithm to predict Protein Interactions -- Economic Load Dispatch Problem with valve point loading effect using DNLP optimization using GAMS -- Solar Radio Spectrum Classification based on ConvLSTM -- Particle Swarm Optimization -based Neural Network for Wireless Heterogeneous Networks -- Impact Analysis of Covid-19 on various Indian Sectors.
520			_aThis book includes selected papers from the 5th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2021), held in Coimbatore, India, during November 25-26, 2021. This book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. It also contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human-computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
988			_aSpringer_Robotics_2022
650		7	_2embne _9159793 _aVisión por ordenador
650		7	_2embne _9160926 _aBiónica
650		7	_2embne _9671000 _aAlgoritmos bioinspirados
700	1		_aSmys, S _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTavares, João Manuel R. S _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBalas, Valentina Emilia _eeditor literario _0(orcid)0000-0003-0885-1283 _1https://orcid.org/0000-0003-0885-1283 _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789811695728
776	0	8	_iPrinted edition: _z9789811695742
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-9573-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2022 _dz _esc _zSI