Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
EUR 113,45
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
EUR 124,87
Quantità: Più di 20 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 113,82
Quantità: 10 disponibili
Aggiungi al carrelloCondizione: New.
EUR 122,91
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 128,10
Quantità: 10 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 132,49
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Revaluation Books, Exeter, Regno Unito
EUR 149,25
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 280 pages. 9.18x6.12x9.45 inches. In Stock.
Da: Basi6 International, Irving, TX, U.S.A.
EUR 86,75
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
Da: Majestic Books, Hounslow, Regno Unito
EUR 129,03
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 127,99
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 130,66
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
Da: CitiRetail, Stevenage, Regno Unito
EUR 113,83
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. 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.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 144,80
Quantità: 1 disponibili
Aggiungi al carrelloBuch. 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.