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Computational Vision and Bio-Inspired Computing (eBook)

ICCVBIC 2019
Artikelnummer: 978-3-030-37218-7
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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This 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. 


This 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. 


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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2020
Seitenangabe1413 S.
AusgabekennzeichenEnglisch
AbbildungenXXV, 1413 p. 720 illus.
Masse160'307 KB
PlattformPDF
ReiheAdvances in Intelligent Systems and Computing; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics ; Springer Nature Proceedings excluding Computer Science
AutorSmys, S. (Hrsg.) / Tavares, João Manuel R. S. (Hrsg.) / Balas, Valentina Emilia (Hrsg.) / Iliyasu, Abdullah M. (Hrsg.)

Alle Bände der Reihe "Advances in Intelligent Systems and Computing; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0); Springer Nature Proceedings excluding Computer Science"

Über den Autor S. (Hrsg.) Smys

Dr. S Smys received his M.E. and Ph.D. degrees all in wireless communication and networking from Anna University and Karunya University, India. His main area of research activity is localization and routing architecture in wireless networks. He serves as an associate editor of Computers and Electrical Engineering (C&EE) Journal, Elsevier, and a guest editor of MONET Journal, Springer. He is served as a reviewer for IET, Springer, Inderscience and Elsevier journals. He has published many research articles in refereed journals and IEEE conferences. He has been the general chair, session chair, TPC chair and panelist in several conferences. He is the member of IEEE and the senior member of IACSIT wireless research group. He has been serving as an organizing chair and a program chair of several international conferences and in the program committees of several international conferences. Currently, he is working as a professor in the Department of CSE at RVS Technical Campus,Coimbatore, India.Dr. Khaled A. Kamel is currently a chairman and professor at Texas Southern University, College of Science and Technology, Department of Computer Science, Houston, TX. He has published many research articles in refereed journals and IEEE conferences. He has more than 30 years of teaching and research experience. He has been the general chair, session chair, TPC chair and panelist in several conferences and acted as a reviewer and guest editor in referred journals. His research interest includes networks, computing and communication systems. Prof. Ram Palanisamy is a professor of Enterprise Systems in the Business Administration Department at the Gerald Schwartz School of Business, St. Francis Xavier University. Dr. Palanisamy teaches courses on Foundations of Business Information Technology, Enterprise Systems using SAP, Systems Analysis and Design, SAP Implementation, Database Management Systems and Electronic Business (Mobile Commerce). Before joining StFX, he taught courses in Management at the Wayne State University (Detroit, USA), Universiti Telekom (Malaysia) and National Institute of Technology (NITT), Deemed University, India. His research interest includes enterprise systems (ES) implementation; ES acquisition; ES flexibility, ES success; knowledge management systems; and healthcare inter-professional collaboration.

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