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| Title | Unmanned Aerial Vehicles And Multidisciplinary Applications Using Ai Techniques |
|---|---|
| ID_Doc | 59681 |
| Authors | Thusnavis B.M.I.; Sagayam K.M.; Elngar A.A. |
| Year | 2022 |
| Published | Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques |
| DOI | http://dx.doi.org/10.4018/978-1-7998-8763-8 |
| Abstract | Unmanned aerial vehicles (UAVs) and artificial intelligence (AI) are gaining the attention of academic and industrial researchers due to the freedoms that UAVs afford when operating and monitoring activities remotely. Applying machine learning and deep learning techniques can result in fast and reliable outputs and have helped in real-time monitoring, data collection and processing, and prediction. UAVs utilizing these techniques can become instrumental tools for computer/wireless networks, smart cities, military applications, agricultural sectors, and mining. © 2022 by IGI Global. All rights reserved. |
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