Bharat Chaudhari (54 results)
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Taschenbuch. Condition: Neu. Neuware.
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paperback. Condition: Gut. 456 Seiten; 9780128188804.3 Gewicht in Gramm: 1.
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
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Optimal Localization of Internet of Things Nodes (SpringerBriefs in Applied Sciences and Technology)
Language: English
Published by Springer, 2021
Series: Book 177 of 472 - SpringerBriefs in Applied Sciences and Technology
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Language: English
Published by Springer Nature, 2021
Series: Book 177 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
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- Softcover
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Taschenbuch. Condition: Neu. GENETIC ARCHITECTURE OF RICE UNDER AEROBIC CONDITION | Bharat Chaudhari | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206786177 | 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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- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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Tinyml for Edge Intelligence in Iot and Lpwan Networks
Chaudhari, Bharat S. (EDT); Ghorpade, Sheetal N. (EDT); Zennaro, Marco (EDT); Pa?kauskas, Rytis (EDT)
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- Softcover
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Tinyml for Edge Intelligence in Iot and Lpwan Networks
Chaudhari, Bharat S. (EDT); Ghorpade, Sheetal N. (EDT); Zennaro, Marco (EDT); Pa?kauskas, Rytis (EDT)
- Softcover
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- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New. One stop guide to the technical details of various low power long range technologies such as LoRaWAN, Sigfox, NB-IoT, LTE-M and others Describes the design aspects, network architectures, security issues and challenges Discusses t.
Tinyml for Edge Intelligence in Iot and Lpwan Networks
Chaudhari, Bharat S. (EDT); Ghorpade, Sheetal N. (EDT); Zennaro, Marco (EDT); Pa?kauskas, Rytis (EDT)
- Softcover
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- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Hardcover
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Tinyml for Edge Intelligence in Iot and Lpwan Networks
Chaudhari, Bharat S. (EDT); Ghorpade, Sheetal N. (EDT); Zennaro, Marco (EDT); Pa?kauskas, Rytis (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
Seller: moluna, Greven, Germanymoluna
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£ 169.82
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Condition: New. This book provides one-stop solutions for emerging TinyML for IoT and LPWAN applications.The principles and methods of TinyML are explained, with a focus on how it can be used for IoT, LPWANs, and 5G applications.Applications from .
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - Low power wide area network (LPWAN) is a promising solution for long range and low power Internet of Things (IoT) and machine to machine (M2M) communication applications. The LPWANs are resource-constrained networks and have critical requirements for long battery life, extended coverage, hi…gh scalability, and low device and deployment costs. There are several design and deployment challenges such as media access control, spectrum management, link optimization and adaptability, energy harvesting, duty cycle restrictions, coexistence and interference, interoperability and heterogeneity, security and privacy, and others.LPWAN Technologies for IoT and M2M Applications is intended to provide a one-stop solution for study of LPWAN technologies as it covers a broad range of topics and multidisciplinary aspects of LPWAN and IoT. Primarily, the book focuses on design requirements and constraints, channel access, spectrum management, coexistence and interference issues, energy efficiency, technology candidates, use cases of different applications in smart city, healthcare, and transportation systems, security issues, hardware/software platforms, challenges, and future directions.
Language: English
Published by Elsevier Science & Technology, Academic Press Jun 2024, 2024
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to the Internet of Things (IoT) and low-power wide area networks (LPWANs). It starts by providing the foundations of IoT/LPWANs, low-power embedded systems and hard…ware, the role of AI and machine learning in communication networks in general, and cloud/edge intelligence. It then presents the concepts, methods, algorithms, and tools of TinyML. Practical applications of TinyML are given from the healthcare and industrial sectors, providing practical guidance on the design of applications and the selection of appropriate technologies.
