Han Dawei (87 results)
Language: Arabic
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Language: Arabic
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Language: Arabic
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Geospatial Technology for Water Resource Applications
Srivastava, Prashant K. (EDT); Pandey, Prem Chandra (EDT); Kumar, Pavan (EDT); Raghubanshi, Akhilesh Singh (EDT); Han, Dawei (EDT)
Language: English
Published by CRC Press 2021
Series: 100 Key Points, Book 10 of 15. Book 10 of 15 - 100 Key Points
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Published by CRC Press 2021
Series: 100 Key Points, Book 10 of 15. Book 10 of 15 - 100 Key Points
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Geospatial Technology for Water Resource Applications
Srivastava, Prashant K. (EDT); Pandey, Prem Chandra (EDT); Kumar, Pavan (EDT); Raghubanshi, Akhilesh Singh (EDT); Han, Dawei (EDT)
Language: English
Published by CRC Press 2021
Series: 100 Key Points, Book 10 of 15. Book 10 of 15 - 100 Key Points
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Geospatial Technology for Water Resource Applications
Srivastava, Prashant K. (EDT); Pandey, Prem Chandra (EDT); Kumar, Pavan (EDT); Raghubanshi, Akhilesh Singh (EDT); Han, Dawei (EDT)
Language: English
Published by CRC Press 2021
Series: 100 Key Points, Book 10 of 15. Book 10 of 15 - 100 Key Points
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Language: English
Published by Taylor & Francis Ltd 2021
Series: 100 Key Points, Book 10 of 15. Book 10 of 15 - 100 Key Points
- Softcover
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Language: English
Published by CRC Press 2021
Series: 100 Key Points, Book 10 of 15. Book 10 of 15 - 100 Key Points
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Geospatial Technology for Water Resource Applications
Srivastava, Prashant K. (EDT); Pandey, Prem Chandra (EDT); Kumar, Pavan (EDT); Raghubanshi, Akhilesh Singh (EDT); Han, Dawei (EDT)
Language: English
Published by CRC Press 2021
Series: 100 Key Points, Book 10 of 15. Book 10 of 15 - 100 Key Points
- Softcover
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Language: English
Published by CRC Press 2021
Series: 100 Key Points, Book 10 of 15. Book 10 of 15 - 100 Key Points
- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Language: English
Published by CRC Pr I Llc 2021
Series: 100 Key Points, Book 10 of 15. Book 10 of 15 - 100 Key Points
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Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Language: English
Published by CRC Press 2021
Series: 100 Key Points, Book 10 of 15. Book 10 of 15 - 100 Key Points
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Seller: moluna, Greven, , Germanymoluna
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Condition: New. Prashant K. Srivastava, PhD, research scientist, ESSIC/NASA Goddard Space Flight Center, Greenbelt, Maryland, USADawei Han, PhD, professor of hydroinformatics, Department of Civil Engineering, University of Bristol, UK.
Geospatial Technology for Water Resource Applications
Prashant K. (ESSIC/NASA Goddard Space Flight Center Srivastava
Language: English
Published by Taylor & Francis Ltd Mär 2021 2021
Series: 100 Key Points, Book 10 of 15. Book 10 of 15 - 100 Key Points
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware.
Language: English
Published by Elsevier 2022
Series: Earth Observation, Book 4 of 26. Book 4 of 26 - Earth Observation
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Radar Remote Sensing : Applications and Challenges
Srivastava, Prashant (EDT); Gupta, Dileep Kumar (EDT); Islam, Tanvir (EDT); Han, Dawei (EDT); Prasad, Rajendra (EDT)
Language: English
Published by Elsevier 2022
Series: Earth Observation, Book 4 of 26. Book 4 of 26 - Earth Observation
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Published by Elsevier 2022
Series: Earth Observation, Book 4 of 26. Book 4 of 26 - Earth Observation
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Federated Learning for Wireless Networks
Hong, Choong Seon; Khan, Latif U.; Chen, Mingzhe; Chen, Dawei; Saad, Walid; Han, Zhu
- Hardcover
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Federated Learning for Wireless Networks
Hong, Choong Seon; Khan, Latif U.; Chen, Mingzhe; Chen, Dawei; Saad, Walid; Han, Zhu
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Published by Elsevier Science Publishing Co Inc 2022
Series: Earth Observation, Book 4 of 26. Book 4 of 26 - Earth Observation
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Published by Elsevier 2022
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Language: English
Published by Elsevier 2022
Series: Earth Observation, Book 4 of 26. Book 4 of 26 - Earth Observation
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 692 | Sprache: Englisch | Produktart: Bücher | This book presents select peer-reviewed proceedings of the International Conference on Innovation in Smart and Sustainable Infrastructure (ISSI2022). The contents focus on smart infrastructure and cites, construction and infra…structure project management, application of building information modelling, sustainable materials and methods for road construction, smart technologies, applications and services for transportation systems, remote sensing and GIS for water resources management, climate change and prediction analysis, model simulation and analysis, seismic engineering and soil dynamics, innovation geo-materials and geosynthetics, computational geotechnics, emerging technologies in smart mobility and transport planning, among others. This volume will be useful for researchers and professionals in civil engineering and allied fields. .
Radar Remote Sensing : Applications and Challenges
Srivastava, Prashant (EDT); Gupta, Dileep Kumar (EDT); Islam, Tanvir (EDT); Han, Dawei (EDT); Prasad, Rajendra (EDT)
Language: English
Published by Elsevier 2022
Series: Earth Observation, Book 4 of 26. Book 4 of 26 - Earth Observation
- Softcover
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Radar Remote Sensing : Applications and Challenges
Srivastava, Prashant (EDT); Gupta, Dileep Kumar (EDT); Islam, Tanvir (EDT); Han, Dawei (EDT); Prasad, Rajendra (EDT)
Language: English
Published by Elsevier 2022
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Radar Remote Sensing : Applications and Challenges
Srivastava, Prashant (EDT); Gupta, Dileep Kumar (EDT); Islam, Tanvir (EDT); Han, Dawei (EDT); Prasad, Rajendra (EDT)
Language: English
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Federated Learning for Wireless Networks
Hong, Choong Seon; Khan, Latif U.; Chen, Mingzhe; Chen, Dawei; Saad, Walid; Han, Zhu
- Softcover
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Federated Learning for Wireless Networks
Choong Seon Hong, Latif U. Khan, Zhu Han, Dawei Chen, Walid Saad, Mingzhe Chen
- Hardcover
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 268 | Sprache: Englisch | Produktart: Bücher | Recently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently, wireless systems are mostly using machine learning schemes that are based on centralizing t…he training and inference processes by migrating the end-devices data to a third party centralized location. However, these schemes lead to end-devices privacy leakage. To address these issues, one can use a distributed machine learning at network edge. In this context, federated learning (FL) is one of most important distributed learning algorithm, allowing devices to train a shared machine learning model while keeping data locally. However, applying FL in wireless networks and optimizing the performance involves a range of research topics. For example, in FL, training machine learning models require communication between wireless devices and edge servers via wireless links. Therefore, wireless impairments such as uncertainties among wireless channel states, interference, and noise significantly affect the performance of FL. On the other hand, federated-reinforcement learning leverages distributed computation power and data to solve complex optimization problems that arise in various use cases, such as interference alignment, resource management, clustering, and network control. Traditionally, FL makes the assumption that edge devices will unconditionally participate in the tasks when invited, which is not practical in reality due to the cost of model training. As such, building incentive mechanisms is indispensable for FL networks. This book provides a comprehensive overview of FL for wireless networks. It is divided into three main parts: The first part briefly discusses the fundamentals of FL for wireless networks, while the second part comprehensively examines the design and analysis of wireless FL, covering resource optimization, incentive mechanism, security and privacy. It also presents several solutions based on optimizationtheory, graph theory, and game theory to optimize the performance of federated learning in wireless networks. Lastly, the third part describes several applications of FL in wireless networks.
