| 書(shū)目名稱(chēng) | Drone Data Analytics in Aerial Computing |
| 編輯 | P. Karthikeyan,Sathish Kumar,V. Anbarasu |
| 視頻video | http://file.papertrans.cn/283/282951/282951.mp4 |
| 概述 | Discusses state-of-the-art drone data analytics in aerial computing with the use of illustrations.Covers the latest developments in drone data analytics in agriculture.Presents a comparison of the dat |
| 叢書(shū)名稱(chēng) | Transactions on Computer Systems and Networks |
| 圖書(shū)封面 |  |
| 描述 | This book discusses the latest research, theoretical, and experimental research innovations in drone data analytics in aerial computing. Drone data analytics guarantees that the right people have the correct data at their fingertips whenever they need it. The contents also discuss the challenges faced with drone data analytics, such as due to the high mobility of drones, aerial computing is significantly different from terrestrial computing. It also includes case studies from leading drone vendors. The book also focuses on the comparison of data management and security mechanisms in drone data analytics. This book is useful to those working in agriculture, mining, waste management, and defenses department. |
| 出版日期 | Book 2023 |
| 關(guān)鍵詞 | Aerial Computing; Machine Learning for Drone Data Analytics; Deep Learning; Artificial Intelligence for |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-99-5056-0 |
| isbn_softcover | 978-981-99-5058-4 |
| isbn_ebook | 978-981-99-5056-0Series ISSN 2730-7484 Series E-ISSN 2730-7492 |
| issn_series | 2730-7484 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機(jī)版|小黑屋|
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