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hardcover. Condizione: Very Good.
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330350369 ISBN 13: 9783330350366
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Cracking the C Interview | Praveen Kumar Donta (u. a.) | Taschenbuch | 272 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330350366 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Da: Basi6 International, Irving, TX, U.S.A.
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Condizione: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Editore: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031505131 ISBN 13: 9783031505133
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. The book is structured into thirteen chapters; each comes with its own dedicated contributions and future research directions. Chapter 1 introduces IoT and the use of Edge computing, particularly cloud computing, and mobile edge computing. This chapter also mentions the use of edge computing in various real-time applications such as healthcare, manufacturing, agriculture, and transportation. Chapter 2 motivates mathematical modeling for federated learning systems with respect to IoT and its applications. Further Chapter 3 extends the discussion of federated learning for IoT, which has emerged as a privacy-preserving distributed machine learning approach. Chapter 4 provides various machine learning techniques in Industrial IoT to deliver rapid and accurate data analysis, essential for enhancing production quality, sustainability, and safety. Chapter discusses the potential role of data-driven technologies, such as Artificial Intelligence, Machine Learning, and Deep Learning, focuses on their integration with IoT communication technologies. Chapter 6 presents the requirements and challenges to realize IoT deployments in smart cities, including sensing infrastructure, Artificial Intelligence, computing platforms, and enabling communications technologies such as 5G networks. To highlight these challenges in practice, the chapter also presents a real-world case study of a city-scale deployment of IoT air quality monitoring within Helsinki city. Chapter 7 uses digital twins within smart cities to enhance economic progress and facilitate prompt decision-making regarding situational awareness. Chapter 8 provides insights into using Multi-Objective reinforcement learning in future IoT networks, especially for an efficient decision-making system. Chapter 9 offers a comprehensive review of intelligent inference approaches, with a specific emphasis on reducing inference time and minimizing transmitted bandwidth between IoT devices and the cloud. Chapter 10 summarizes the applications of deep learning models in various IoT fields. This chapter also presents an in-depth study of these techniques to examine new horizons of applications of deep learning models in different areas of IoT. Chapter 11 explores the integration of Quantum Key Distribution (QKD) into IoT systems. It delves into the potential benefits, challenges, and practical considerations of incorporating QKD into IoT networks. In chapter 12, a comprehensive overview regarding the current state of quantum IoT in the context of smart healthcare is presented, along with its applications, benefits, challenges, and prospects for the future. Chapter 13 proposes a blockchain-based architecture for securing and managing IoT data in intelligent transport systems, offering advantages like immutability, decentralization, and enhanced security. Chapter discusses the potential role of data-driven technologies, such as Artificial Intelligence, Machine Learning, and Deep Learning, focuses on their integration with IoT communication technologies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2024
ISBN 10: 3031505131 ISBN 13: 9783031505133
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Editore: TAYLOR & FRANCIS NP EXCLUSIVE(CBS), 2025
ISBN 10: 1032729309 ISBN 13: 9781032729305
Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 239,35
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Aggiungi al carrelloCondizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
EUR 166,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Learning Techniques for the Internet of Things | Praveen Kumar Donta (u. a.) | Taschenbuch | xxii | Englisch | 2025 | Springer | EAN 9783031505164 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Revaluation Books, Exeter, Regno Unito
EUR 235,46
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Aggiungi al carrelloHardcover. Condizione: Brand New. 128 pages. 9.19x6.13x9.21 inches. In Stock.
Condizione: New.