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Computational Vision and Bio-Inspired Computing = ICCVBIC 2019 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Computational Vision and Bio-Inspired Computing/ edited by S. Smys, João Manuel R. S. Tavares, Valentina Emilia Balas, Abdullah M. Iliyasu.
Reminder of title:	ICCVBIC 2019 /
other author:	Smys, S.
Description:	XXV, 1413 p. 720 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-37218-7
ISBN:	9783030372187

Computational Vision and Bio-Inspired Computing = ICCVBIC 2019 /
Computational Vision and Bio-Inspired ComputingICCVBIC 2019 /[electronic resource] :edited by S. Smys, João Manuel R. S. Tavares, Valentina Emilia Balas, Abdullah M. Iliyasu. - 1st ed. 2020. - XXV, 1413 p. 720 illus.online resource. - Advances in Intelligent Systems and Computing,11082194-5357 ;. - Advances in Intelligent Systems and Computing,335.

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. .

ISBN: 9783030372187

Standard No.: 10.1007/978-3-030-37218-7doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Computational Vision and Bio-Inspired Computing = ICCVBIC 2019 /
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