Applications of Machine Learning in UAV Networks is popular PDF and ePub book, written by Hassan, Jahan in 2024-01-17, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Applications of Machine Learning in UAV Networks can be Read Online from any device for your convenience.
Applications of Machine Learning in UAV Networks Book PDF Summary
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.
Detail Book of Applications of Machine Learning in UAV Networks PDF
- Author : Hassan, Jahan
- Release : 17 January 2024
- Publisher : IGI Global
- ISBN : 9798369305805
- Genre : Computers
- Total Page : 425 pages
- Language : English
- PDF File Size : 11,6 Mb
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