Applications of Machine Learning in UAV Networks
Language: English
Published by IGI Global, 2024
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 373.56
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Applications of Machine Learning in UAV Networks presents a pioneering exploration into the symbiotic relationship between machine learning techniques and UAVs. In an age where UAVs are revolutionizing sectors as diverse as agriculture, environmental preservation, security, and disaster response, this meticulously crafted volume offers an analysis of the manifold ways machine learning drives advancements in UAV network efficiency and efficacy. This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role. Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond. …
Seller Inventory # 9798369305782
- Title
- Applications of Machine Learning in UAV Networks
- Author
- Jahan Hassan
- Publisher
- IGI Global
- Publication year
- 2024
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 13
- 9798369305782
- Item weight
- 1,340 grams
- Dimensions
- 286x221x28 mm
"Synopsis" may belong to another edition of this title.
About the Author
Saeed Hamood Alsamhi received the B.Eng. degree from the Department of Electronic Engineering (Communication Division), IBB University, Yemen, in 2009, and the M.Tech. degree in communication systems and a Ph.D. degree from the Department of Electronics Engineering, Indian Institute of Technology (Banaras Hindu University), IIT (BHU), Varanasi, India, in 2012 and 2015. In 2009, he worked as a Lecturer Assistant in the Engineering faculty at IBB University. Afterwards, he held a postdoctoral position with the School of Aerospace Engineering, Tsinghua University, Beijing, China, in optimal and smart wireless network research and its applications to enhance robotics technologies. Since 2019, he has been an Assistant Professor at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen. In 2020, he worked as MSCA SMART 4.0 FELLOW at Athlone Institute of Technology, Athlone, Ireland. He is currently Senior Research Fellow at Insight Centre for Data Analytics, University of Galway, Ireland. He has published more than 160 articles in high-reputation journals in IEEE, Elsevier, Springer, Wiley, etc. publishers. His areas of interest include green and semantic communication, green Internet of Things, QoE, QoS, multi-robot collaboration, blockchain technology, federated learning, and space technologies (high altitude platforms, drones, and tethered balloon technologies).
"About the title" may belong to another edition of this title.
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