LEADER 03585nam 22006015 450 001 9910483400603321 005 20251107173006.0 010 $a3-030-37218-9 024 7 $a10.1007/978-3-030-37218-7 035 $a(CKB)4900000000505038 035 $a(MiAaPQ)EBC6011708 035 $a(DE-He213)978-3-030-37218-7 035 $a(PPN)243767315 035 $a(EXLCZ)994900000000505038 100 $a20200106d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Vision and Bio-Inspired Computing $eICCVBIC 2019 /$fedited by S. Smys, Joćo Manuel R. S. Tavares, Valentina Emilia Balas, Abdullah M. Iliyasu 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (1,435 pages) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1108 311 08$a3-030-37217-0 330 $aThis proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to process a large number of data streams by implementing new computing paradigms has been demonstrated in numerous studies incorporating computational techniques in the emerging bio-inspired models. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization, and big data modeling and management, that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human?computer interaction, image processing, sensor-based single processing, recommender systems, and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications. . 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1108 606 $aComputational intelligence 606 $aMachine learning 606 $aComputer vision 606 $aComputational Intelligence 606 $aMachine Learning 606 $aComputer Vision 615 0$aComputational intelligence. 615 0$aMachine learning. 615 0$aComputer vision. 615 14$aComputational Intelligence. 615 24$aMachine Learning. 615 24$aComputer Vision. 676 $a006.37 676 $a006.37 702 $aSmys$b S$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTavares$b Joćo Manuel R. S$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBalas$b Valentina Emilia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aIliyasu$b Abdullah M$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483400603321 996 $aComputational Vision and Bio-Inspired Computing$91912501 997 $aUNINA