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Deep Learning Edge Computing (51 results)
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Deep Learning and Edge Computing Solutions for High Performance Computing.
Published by Cham, Springer International Publishing., 2021
ISBN 10: 3030602648 ISBN 13: 9783030602642
Language: English
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
First Edition
US$ 22.02
Convert currencyUS$ 33.76 shipping from Germany to U.S.A.Quantity: 1 available
Add to basket1st ed. 2021. XII, 279 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Condition: New.
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Hardcover. Condition: new. Hardcover. The evolution of 5G and Internet of Things (IoT) technologies is leading to ubiquitous connections between humans and their environment, such as autopilot transportation, mobile e-commerce, unmanned vehicles, and healthcare applications, bringing revolutionary changes to our daily lives. Moreover, the computing environment results in the requirement for support of an increasing range of functionality: multi-sensory data processing and analysis, complex systems control strategies, and, ultimately, artificial intelligence. After several years of development, edge computing for deep learning has shown incomparable practical value in the IoT environment. Pushing computing resources to the edge in closer proximity to devices enables low-latency service delivery for both safety and applications. This Special Issue, "Deep Learning and Edge Computing for Internet of Things", addresses existing awareness of the surrounding environment and support for services in the advanced development of smart scheduling, privacy protection, and environment-aware ability globally. It includes eleven peer-reviewed papers that focus on deep learning and edge computing for the Internet of Things. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Deep Learning and Edge Computing for Internet of Things
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 78.86
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Add to basketCondition: New. In.
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Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Very Good.
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US$ 84.25
Convert currencyUS$ 49.22 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. The evolution of 5G and Internet of Things (IoT) technologies is leading to ubiquitous connections between humans and their environment, such as autopilot transportation, mobile e-commerce, unmanned vehicles, and healthcare applications, bringing revolutionary changes to our daily lives. Moreover, the computing environment results in the requirement for support of an increasing range of functionality: multi-sensory data processing and analysis, complex systems control strategies, and, ultimately, artificial intelligence. After several years of development, edge computing for deep learning has shown incomparable practical value in the IoT environment. Pushing computing resources to the edge in closer proximity to devices enables low-latency service delivery for both safety and applications. This Special Issue, "Deep Learning and Edge Computing for Internet of Things", addresses existing awareness of the surrounding environment and support for services in the advanced development of smart scheduling, privacy protection, and environment-aware ability globally. It includes eleven peer-reviewed papers that focus on deep learning and edge computing for the Internet of Things. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Condition: New.
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US$ 109.75
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. The evolution of 5G and Internet of Things (IoT) technologies is leading to ubiquitous connections between humans and their environment, such as autopilot transportation, mobile e-commerce, unmanned vehicles, and healthcare applications, bringing revolutionary changes to our daily lives. Moreover, the computing environment results in the requirement for support of an increasing range of functionality: multi-sensory data processing and analysis, complex systems control strategies, and, ultimately, artificial intelligence. After several years of development, edge computing for deep learning has shown incomparable practical value in the IoT environment. Pushing computing resources to the edge in closer proximity to devices enables low-latency service delivery for both safety and applications. This Special Issue, "Deep Learning and Edge Computing for Internet of Things", addresses existing awareness of the surrounding environment and support for services in the advanced development of smart scheduling, privacy protection, and environment-aware ability globally. It includes eleven peer-reviewed papers that focus on deep learning and edge computing for the Internet of Things. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Condition: New.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Learning on Edge Computing
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
US$ 169.45
Convert currencyUS$ 5.53 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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US$ 174.61
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Deep Learning on Edge Computing Devices : Design Challenges of Algorithm and Architecture
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 169.44
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Edge Intelligence: Deep learning-enabled edge computing
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 176.53
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US$ 178.79
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Add to basketPaperback. Condition: Brand New. 210 pages. 9.00x6.00x0.50 inches. In Stock.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Condition: As New. Unread book in perfect condition.
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Edge Intelligence : Deep Learning-enabled Edge Computing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 176.51
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Condition: New.
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US$ 189.31
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Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 185.89
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Condition: New. SUPER FAST SHIPPING.
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Edge Intelligence: Deep learning-enabled edge computing
Published by Institute of Physics Publishing, 2024
ISBN 10: 0750355913 ISBN 13: 9780750355919
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 186.61
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 526.
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Deep Learning on Edge Computing Devices : Design Challenges of Algorithm and Architecture
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 190.47
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Add to basketCondition: As New. Unread book in perfect condition.
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Edge Intelligence : Deep Learning-enabled Edge Computing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 193.26
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US$ 204.25
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Deep Learning and Edge Computing Solutions for High Performance Computing: High Performance Computing and Emerging Healthcare Technologies (EAI/Springer Innovations in Communication and Computing)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 205.02
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Deep Learning and Edge Computing Solutions for High Performance Computing (EAI/Springer Innovations in Communication and Computing)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 205.02
Convert currencyUS$ 15.94 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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