Rehman mujeeb ur (55 risultati)

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Paperback. Condizione: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock.

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Paperback. Condizione: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.

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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condizione: Neu. Uplink Power Control for IMT advance | Mujeeb Ur Rehman (u. a.) | Taschenbuch | 88 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786134975698 | 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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Condizione: New. Examines the potential of edge computing and deep transfer learning, offering in-depth insights into how edge intelligence can be leveraged to enhance IoT and IIoT securityEmphasizes the development of lightweight and resource-efficient mod.

Taschenbuch. Condizione: Neu. Neuware - Edge Intelligence: Advanced Deep Transfer Learning for IoT Security presents a comprehensive exploration into the critical intersection of cybersecurity, edge computing, and deep learning, offering practitioners, researchers, and cybersecurity professionals a definitive guide to protect IoT/IIoT systems. This book delves into the synergistic potential of edge computing and advanced machine/deep learning algorithms, providing insights into lightweight and resource-efficient models with a special focus on resource-constrained edge devices. The rapidly evolving nature of cyberattacks underscores the need for updated and integrated resources that address the intersection of cybersecurity, edge computing, and deep learning. The authors address this issue by offering practical insights, lightweight models, and proactive defense mechanisms tailored to the unique challenges of securing edge devices and networks. This book is not only written to provide its audience effective strategies to detect and mitigate network intrusions by leveraging edge intelligence and advanced deep transfer learning techniques but also to provide practical insights and implementation guidelines tailored to resource-constrained edge devices.…

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a study which involves an implementation of an IMT-Advanced Uplink model for the bit error rate (BER) performance analysis of Turbo coding, Different subcarrier mapping schemes e.g. Localized Frequency Division Multiple Access (LFDMA), Interleaved FDMA (IFDMA), Block Interleaved FDMA (BIFDMA) and Discrete Fourier Transform (DFT) precoding. ), Block Interleaved FDMA (BIFDMA) and Discrete Fourier Transform (DFT) precoding. These techniques have been implemented in linear and non-linear environments. Since pulse shaping has not been used so IFDMA performance analysis in non-linear environment was not possible with the non-linearity. Model used in this research. Hence the BER performance analysis in non-linear environments has been limited to BIFDMA and LFDMA schemes only. Non-linearities have been Introduced by using a threshold clipping model using three different clipping Percentages i.e. 1%, 10% and 30%. Moreover simulations have been performed for single user and multiuser environments, where we also analyzed the near far effect. 88 pp. Englisch. …

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