Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 91,70
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 105,31
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Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 111,37
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 93,86
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EUR 112,18
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Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 106,47
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 106,25
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
EUR 128,54
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EUR 120,60
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Añadir al carritoCondición: New. In.
EUR 128,66
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 147,06
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Añadir al carritoHardcover. Condición: Brand New. 280 pages. 9.18x6.12x9.45 inches. In Stock.
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 94,04
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Añadir al carritoHardcover. Condición: new. Hardcover. With a specific focus on energy efficiency, Optimizing IoT Networks examines the application of machine learning to enhance resource allocations in IoT networks.It discusses various algorithms, including neural networks and reinforcement learning, to optimise resource use and improve network performance. It addresses challenges such as the dynamic behaviour of IoT devices and the need for real-time decision-making. It discusses optimisation methods used alongside machine learning to enhance resource allocation efficiency. Provides a foundational understanding of IoT network architecture and the importance of efficient resource allocation Discusses complexities in resource allocation due to dynamic device behaviour and varying data traffic patterns Covers key machine learning concepts and algorithms relevant to optimising resource allocation in IoT networks Emphasises the significance of energy efficiency in IoT networks and its impact on resource allocation strategies Explores algorithms such as clustering, regression, and reinforcement learning for effective resource allocationThe book is designed for researchers, practitioners, and scholars in computer science and technology who are interested in or actively working on optimising IoT networks. The book examines the application of machine learning to enhance resource allocation in IoT networks, with a specific focus on energy efficiency. It discusses various algorithms, including neural networks and reinforcement learning, to optimize resource use and improve network performance. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 127,69
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 122,53
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Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: CitiRetail, Stevenage, Reino Unido
EUR 93,87
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. With a specific focus on energy efficiency, Optimizing IoT Networks examines the application of machine learning to enhance resource allocations in IoT networks.It discusses various algorithms, including neural networks and reinforcement learning, to optimise resource use and improve network performance. It addresses challenges such as the dynamic behaviour of IoT devices and the need for real-time decision-making. It discusses optimisation methods used alongside machine learning to enhance resource allocation efficiency. Provides a foundational understanding of IoT network architecture and the importance of efficient resource allocation Discusses complexities in resource allocation due to dynamic device behaviour and varying data traffic patterns Covers key machine learning concepts and algorithms relevant to optimising resource allocation in IoT networks Emphasises the significance of energy efficiency in IoT networks and its impact on resource allocation strategies Explores algorithms such as clustering, regression, and reinforcement learning for effective resource allocationThe book is designed for researchers, practitioners, and scholars in computer science and technology who are interested in or actively working on optimising IoT networks. The book examines the application of machine learning to enhance resource allocation in IoT networks, with a specific focus on energy efficiency. It discusses various algorithms, including neural networks and reinforcement learning, to optimize resource use and improve network performance. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 128,21
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 144,80
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book examines the application of machine learning to enhance resource allocation in IoT networks, with a specific focus on energy efficiency. It discusses various algorithms, including neural networks and reinforcement learning, to optimize resource use and improve network performance.
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 185,36
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. With a specific focus on energy efficiency, Optimizing IoT Networks examines the application of machine learning to enhance resource allocations in IoT networks.It discusses various algorithms, including neural networks and reinforcement learning, to optimise resource use and improve network performance. It addresses challenges such as the dynamic behaviour of IoT devices and the need for real-time decision-making. It discusses optimisation methods used alongside machine learning to enhance resource allocation efficiency. Provides a foundational understanding of IoT network architecture and the importance of efficient resource allocation Discusses complexities in resource allocation due to dynamic device behaviour and varying data traffic patterns Covers key machine learning concepts and algorithms relevant to optimising resource allocation in IoT networks Emphasises the significance of energy efficiency in IoT networks and its impact on resource allocation strategies Explores algorithms such as clustering, regression, and reinforcement learning for effective resource allocationThe book is designed for researchers, practitioners, and scholars in computer science and technology who are interested in or actively working on optimising IoT networks. The book examines the application of machine learning to enhance resource allocation in IoT networks, with a specific focus on energy efficiency. It discusses various algorithms, including neural networks and reinforcement learning, to optimize resource use and improve network performance. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.