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Advances in Image Processing, Reliability, and Artificial Intelligence : Data Centred-Techniques and Applications in Edge Computing

By: (Edited by) PhD Shchemelinin Dmitry , (Edited by) PhD Guim Francesc , (Edited by) BEng Carranza Marcos , (Edited by) PhD Divan Mario J. , (Edited by) Prashant Johri

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Ksh 29,350.00

Format: Paperback / Softback

ISBN-10: 0443342660

ISBN-13: 9780443342660

Publisher: Elsevier - Health Sciences Division

Imprint: Elsevier - Health Sciences Division

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 16th, 2025

Print length: 230 Pages

Product Classification: Artificial intelligence
Expert systems / knowledge-based systems
Computer vision
Image processing
Human-computer interaction

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Advances in Image Processing, Reliability, and Artificial Intelligence: Data Centred-Techniques and Applications in Edge Computing provides a clear outlook of the mechanisms, risks, challenges, and opportunities in system reliability for image processing and AI applications running on edge devices. It provides Best Known Configuration (BKC) and Methods (BKM) while discussing trends and future works based on current research. The content serves as a reference for practitioners and provides a state-of-the-art for researchers in the area. It provides foundations to analyse and replicate different applications through use cases. It tackles concerns for how reliability aspects (i.e., fault tolerance, availability, maturity, and recoverability) are addressed for applications running in an environment that is not fully controlled and exposed to environmental variations.

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