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Computational Vision and Bio-Inspired Computing : ICCVBIC 2019 - S. Smys

Computational Vision and Bio-Inspired Computing

ICCVBIC 2019

By: S. Smys (Editor), João Manuel R. S. Tavares (Editor), Valentina Emilia Balas (Editor), Abdullah M. Iliyasu (Editor)

eText | 6 January 2020

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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.

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Non-FictionEngineering & TechnologyTechnology in GeneralEngineering in GeneralComputing & I.T.Graphical & Digital Media ApplicationsComputer ScienceArtificial IntelligenceMachine LearningImage ProcessingMathematicsProbability & Statistics
Computer Vision

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