Unmanned aerial vehicles and multidisciplinary applications using AI techniques

"This comprehensive edited book covers Artificial techniques, pattern recognition, machine and deep learning--based methods and techniques applied to different real time applications of unmanned aerial vehicles (UAV) with the goal to synthesize the scope and importance of machine learning and d...

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Bibliographic Details
Other Authors: Thusnavis, Mary Bella I., 1985-, Sagayam, K. Martin, 1987-, Elngar, Ahmed A.
Format: eBook
Language:English
Published: Hershey, PA IGI Global, Engineering Science Reference, an imprint of IGI Global, [2022]
Series:Advances in computational intelligence and robotics (ACIR) book series.
Subjects:
Online Access:EBSCOhost
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020 |a 1799887650  |q electronic book 
020 |a 9781799887669  |q (epub) 
020 |a 1799887669 
020 |a 9781799887652  |q (electronic bk.) 
020 |z 9781799887638  |q hardcover 
020 |z 9781799887645  |q paperback 
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050 0 4 |a TL685.35  |b .U555 2022 
082 0 0 |a 629.133/39  |2 23 
049 |a MAIN 
245 0 0 |a Unmanned aerial vehicles and multidisciplinary applications using AI techniques  |c [edited by] Bella Mary I. Thusnavis, K. Martin Sagayam, Ahmed A. Elngar. 
264 1 |a Hershey, PA  |b IGI Global, Engineering Science Reference, an imprint of IGI Global,  |c [2022] 
300 |a 1 online resource (xix, 306 pages)  |b illustrations (some color). 
490 1 |a Advances in computational intelligence and robotics (ACIR) book series 
500 |a "Premier reference source"--Cover. 
504 |a Includes bibliographical references and index. 
520 |a "This comprehensive edited book covers Artificial techniques, pattern recognition, machine and deep learning--based methods and techniques applied to different real time applications of unmanned aerial vehicles (UAV) with the goal to synthesize the scope and importance of machine learning and deep learning models in enhancing UAV capabilities, solutions to problems and numerous application areas"--  |c Provided by publisher. 
505 0 |a Chapter 1. UAVs for multidisciplinary applications: introduction -- Chapter 2. A review on the applications of unmanned aerial vehicles and internet of things towards smart farming -- Chapter 3. Recommendation of crop and yield prediction by assessing soil health from ortho-photos -- Chapter 4. Design and implementation of an amphibious unmanned aerial vehicle system for agriculture applications -- Chapter 5. Scope of uavs for smart cities: an outlook -- Chapter 6. Urban intelligence and IoT-UAV applications in smart cities: unmanned aerial vehicle-based city management, human activity recognition, and monitoring for health -- Chapter 7. Mathematical modeling of unmanned aerial vehicles for smart city vehicular surveillance systems -- Chapter 8. Unmanned aerial vehicle brands fan Page engagement behavior analytics -- Chapter 9. Business transformation and enterprise architecture projects: machine learning integration for projects (MLI4P) -- Chapter 10. Future trends and challenges of UAV: conclusion. 
588 |a Description based on online resource; title from digital title page (viewed on October 10, 2022). 
653 0 |a Drone aircraft  |x Industrial applications. 
653 0 |a Aerial surveillance. 
653 6 |a Drones  |x Applications industrielles. 
653 6 |a Surveillance aérienne. 
653 7 |a Aerial surveillance.  |2 fast  |0 (OCoLC)fst01896391 
655 0 |a EBSCO eBooks  |9 905790 
700 1 |a Thusnavis, Mary Bella I.,  |d 1985-  |9 914455 
700 1 |a Sagayam, K. Martin,  |d 1987-  |9 914456 
700 1 |a Elngar, Ahmed A.,  |9 914457 
830 0 |a Advances in computational intelligence and robotics (ACIR) book series.  |9 900427 
856 4 0 |3 EBSCOhost  |u https://www.lib.tsu.ru/limit/2023/EBSCO/3377012.pdf 
856 |y Перейти в каталог НБ ТГУ  |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1014774 
910 |a EBSCO eBooks 
999 |c 1014774  |d 1014774 
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