(as of Jan 31,2023 22:17:43 UTC – Details)
Unmanned aerial vehicles (UAVs) and artificial intelligence (AI) are gaining attention from academic and industrial researchers due to the freedoms that unmanned aerial vehicles provide for remote control and monitoring of activities. The use of machine learning and deep learning techniques can lead to fast and reliable outputs and has helped in real-time monitoring, data collection and processing, and prediction. UAVs using these techniques can become instrumental tools for computer/wireless networks, smart cities, military applications, agricultural sectors, and mining. Unmanned Aircraft and Multidisciplinary Applications Using Artificial Intelligence Techniques is an essential reference resource that covers pattern recognition, machine and deep learning methods, and other artificial intelligence techniques and their impact when applied to various real-time UAV applications. Synthesizes the scope and importance of machine learning and deep learning models in improving UAV capabilities, problem solving and numerous application areas. Covering topics such as vehicle tracking systems, yield prediction, and human activity recognition, this premier reference resource is a comprehensive resource for computer scientists; AI engineers; data scientists; farmers; government officials; military leaders; business managers and leaders; higher education students and faculty; academic libraries; academics; and researchers in computer science, computer vision, pattern recognition, imaging, and engineering.
Publisher : Engineering Science Reference (27 May 2022)
English language
Hardcover: 300 pages
ISBN-10: 1799887634
ISBN-13 : 978-1799887638
Item Weight: 1.74 lbs
Dimensions: 7 x 0.75 x 10 inches
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