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020 _a9783030372187
024 7 _a10.1007/978-3-030-37218-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
041 0 _aeng
050 4 _aTA1634
_b2020 EB
245 0 0 _aComputational Vision and Bio-Inspired Computing :
_bICCVBIC 2019
_cedited by S. Smys, João Manuel R. S. Tavares, Valentina Emilia Balas, Abdullah M. Iliyasu.
250 _aFirst edition
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2020.
300 _a1 recurso en línea (XXV, 1413 páginas)
_b720 ilustraciones
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
_x2194-5357
_v1108
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
520 3 _aThis proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to process a large number of data streams by implementing new computing paradigms has been demonstrated in numerous studies incorporating computational techniques in the emerging bio-inspired models. 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. As such it 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 _aPrimersemestre_2020_Robotics
650 7 _2embne
_aVisión por ordenador
_9159793
700 1 _aSmys, S.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTavares, João Manuel R. S.
_eeditor
_0(orcid)0000-0001-7603-6526
_1https://orcid.org/0000-0001-7603-6526
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBalas, Valentina Emilia
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_996925
700 1 _aIliyasu, Abdullah M.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030372170
776 0 8 _iPrinted edition:
_z9783030372194
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-37218-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2020
_dz
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_zSI