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Vision, Sensing and Analytics: Integrative Approaches -

Vision, Sensing and Analytics: Integrative Approaches

Buch | Softcover
X, 413 Seiten
2022
Springer International Publishing (Verlag)
978-3-030-75492-1 (ISBN)
CHF 269,60 inkl. MwSt
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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.


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.

Erscheinungsdatum
Reihe/Serie Intelligent Systems Reference Library
Zusatzinfo X, 413 p. 125 illus., 81 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 646 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Schlagworte AI • Big Data • biomedical signal • Deep learning • HCI • Health Informatics • Image Processing • Information Management • Intelligent Systems • IOT • Medical Informatics • Signal Processing
ISBN-10 3-030-75492-8 / 3030754928
ISBN-13 978-3-030-75492-1 / 9783030754921
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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