Deep learning edge computing (53 resultados)

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Hardback. Condición: New.

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paperback. Condición: Very Good.

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Hardback. Condición: New.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New. In English.

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Taschenbuch. Condición: Neu. Deep Learning on Edge Computing Devices | Design Challenges of Algorithm and Architecture | Xichuan Zhou (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Elsevier | EAN 9780323857833 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, productsafety[at]elsevier[dot]com | Anbieter: preigu. …

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Taschenbuch. Condición: Neu. Deep Learning and Edge Computing Solutions for High Performance Computing | A. Suresh (u. a.) | Taschenbuch | EAI/Springer Innovations in Communication and Computing | xii | Englisch | 2022 | Springer | EAN 9783030602673 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condición: New. In English.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The book is a comprehensive reference that provides an overview of the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Topics include deep learning methods for applications in object detection and identification, object tracking, human action recognition, and cross-modal and multimodal data analysis. High performance computing systems for applications in healthcare are also discussed. The contributors also include information on microarray data analysis, sequence analysis, genomics based analytics, disease network analysis, and techniques for big data Analytics and health information technology.…

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The book is a comprehensive reference that provides an overview of the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Topics include deep learning methods for applications in object detection and identification, object tracking, human action recognition, and cross-modal and multimodal data analysis. High performance computing systems for applications in healthcare are also discussed. The contributors also include information on microarray data analysis, sequence analysis, genomics based analytics, disease network analysis, and techniques for big data Analytics and health information technology.…

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Condición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Condición: New.

Condición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Condición: New. Focuses on hardware architecture and embedded deep learning, including neural networks Brings together neural network algorithm and hardware design optimization approaches to deep learning, alongside real-world applications Consid.

Hardcover. Condición: Brand New. 291 pages. 9.25x6.10x0.87 inches. In Stock.

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Buch. Condición: Neu. Neuware - Edge Intelligence: Deep Learning-Enabled Edge Computing is a book that targets researchers and practitioners who are interested in applying intelligence without compromising data privacy. The book reveals the existing edge-AI techniques and forecasts future edge-AI integration methods. The book delves into edge computing architectures after describing relevant basic technologies such as IoT, Cloud Computing, and other security-related architectures. The book starts with an explanation of all relevant basic technologies. It offers a smooth transition from the basics to insightful practical sessions for practitioners. The ideas of providing innovative ideas and applications in the later part of the book can enthuse researchers and developers to engage themselves in innovating newer products with the application of edge intelligence.Key Features: - Each chapter includes learning objectives and summaries. - Author offers challenges to existing systems, and it will introduce ideas for future developments. - Inclusion of case studies - Includes business opportunities and economic improvement potential offered by edge intelligence. - Showcases architectures and platforms that could be applied using edge intelligence to develop applications in allied technologies, such as smart mobility, drone developments, metaverse creations etc.…