Computational Vision and Bio-Inspired Computing: ICCVBIC 2019

Author:   S. Smys ,  João Manuel R. S. Tavares ,  Valentina Emilia Balas ,  Abdullah M. Iliyasu
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   1108
ISBN:  

9783030372170


Pages:   1413
Publication Date:   08 January 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Computational Vision and Bio-Inspired Computing: ICCVBIC 2019


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Overview

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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Author:   S. Smys ,  João Manuel R. S. Tavares ,  Valentina Emilia Balas ,  Abdullah M. Iliyasu
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   1108
Weight:   2.214kg
ISBN:  

9783030372170


ISBN 10:   3030372170
Pages:   1413
Publication Date:   08 January 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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