9781032997971 - Optimising IoT Networks: Energy-Efficient Resource Management through Machine Learning di Patil, Suvarna; Bhende, Manisha; Sharma, Swati (18 risultati)

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Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

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

Condizione: New.

Condizione: New. In.

Condizione: New.

Hardcover. Condizione: Brand New. 280 pages. 9.18x6.12x9.45 inches. In Stock.

Hardcover. Condizione: 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.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condizione: 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.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.

Buch. Condizione: 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.

Hardcover. Condizione: 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.