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Vision, Sensing and Analytics: Integrative Approaches

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Vision, Sensing and Analytics: Integrative Approaches/ edited by Md Atiqur Rahman Ahad, Atsushi Inoue.
其他作者:	Inoue, Atsushi.
面頁冊數:	X, 413 p. 125 illus., 81 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Image Processing and Computer Vision. -
電子資源:	https://doi.org/10.1007/978-3-030-75490-7
ISBN:	9783030754907

Vision, Sensing and Analytics: Integrative Approaches
Vision, Sensing and Analytics: Integrative Approaches[electronic resource] /edited by Md Atiqur Rahman Ahad, Atsushi Inoue. - 1st ed. 2021. - X, 413 p. 125 illus., 81 illus. in color.online resource. - Intelligent Systems Reference Library,2071868-4408 ;. - Intelligent Systems Reference Library,67.

Deep Architectures in Visual Transfer Learning -- Deep Reinforcement Learning: A New Frontier in Computer Vision Research -- Deep Learning for Data-driven Predictive Maintenance -- Multi-Criteria Fuzzy Goal Programming under Multi-Uncertainty -- Skeleton-based Human Action Recognition on Large-Scale Datasets.

This book serves as the first guideline of the integrative approach, optimal for our new and young generations. Recent technology advancements in computer vision, IoT sensors, and analytics open the door to highly impactful innovations and applications as a result of effective and efficient integration of those. Such integration has brought to scientists and engineers a new approach —the integrative approach. This offers far more rapid development and scalable architecting when comparing to the traditional hardcore developmental approach. Featuring biomedical and healthcare challenges including COVID-19, we present a collection of carefully selective cases with significant added- values as a result of integrations, e.g., sensing with AI, analytics with different data sources, and comprehensive monitoring with many different sensors, while sustaining its readability.

ISBN: 9783030754907

Standard No.: 10.1007/978-3-030-75490-7doiSubjects--Topical Terms:

670819
Image Processing and Computer Vision.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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