Unmanned aerial vehicles and multidisciplinary applications using AI techniques:
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 reli...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hershey, PA
IGI Global
[2022]
|
| Schriftenreihe: | Advances in computational intelligence and robotics book series
|
| Schlagworte: | |
| Zusammenfassung: | 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. Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques is an essential reference source that covers pattern recognition, machine and deep learning-based methods, and other AI techniques and the impact they have when applied to different real-time applications of UAVs. It synthesizes the scope and importance of machine learning and deep learning models in enhancing UAV capabilities, solutions to problems, and numerous application areas. Covering topics such as vehicular surveillance systems, yield prediction, and human activity recognition, this premier reference source is a comprehensive resource for computer scientists; AI engineers; data scientists; agriculturalists; government officials; military leaders; business managers and leaders; students and faculty of higher education; academic libraries; academicians; and researchers in computer science, computer vision, pattern recognition, imaging, and engineering |
| Beschreibung: | Auf dem Cover: Premier Reference Source |
| Beschreibung: | xix, 306 Seiten Illustrationen 279 mm |
| ISBN: | 9781799887645 9781799887638 |
Internformat
MARC
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Datensatz im Suchindex
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| author | Thusnavis, Mary Bella I. 1985- Sagayam, K. Martin 1987- Elngar, Ahmed A. 1982- |
| author_GND | (DE-588)1277016925 (DE-588)1277017034 (DE-588)124118089X |
| author_facet | Thusnavis, Mary Bella I. 1985- Sagayam, K. Martin 1987- Elngar, Ahmed A. 1982- |
| author_role | aut aut aut |
| author_sort | Thusnavis, Mary Bella I. 1985- |
| author_variant | m b i t mbi mbit k m s km kms a a e aa aae |
| building | Verbundindex |
| bvnumber | BV048214065 |
| classification_rvk | ZO 7440 |
| ctrlnum | (OCoLC)1291277964 (DE-599)BVBBV048214065 |
| discipline | Verkehr / Transport |
| discipline_str_mv | Verkehr / Transport |
| format | Book |
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| id | DE-604.BV048214065 |
| illustrated | Illustrated |
| index_date | 2024-07-03T19:49:27Z |
| indexdate | 2024-07-10T09:32:12Z |
| institution | BVB |
| isbn | 9781799887645 9781799887638 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033594860 |
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| physical | xix, 306 Seiten Illustrationen 279 mm |
| publishDate | 2022 |
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| series2 | Advances in computational intelligence and robotics book series |
| spelling | Thusnavis, Mary Bella I. 1985- Verfasser (DE-588)1277016925 aut Unmanned aerial vehicles and multidisciplinary applications using AI techniques Bella Mary I. Thusnavis, K. Martin Sagayam, Ahmed A. Elngar Hershey, PA IGI Global [2022] © 2022 xix, 306 Seiten Illustrationen 279 mm txt rdacontent n rdamedia nc rdacarrier Advances in computational intelligence and robotics book series Auf dem Cover: Premier Reference Source 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. Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques is an essential reference source that covers pattern recognition, machine and deep learning-based methods, and other AI techniques and the impact they have when applied to different real-time applications of UAVs. It synthesizes the scope and importance of machine learning and deep learning models in enhancing UAV capabilities, solutions to problems, and numerous application areas. Covering topics such as vehicular surveillance systems, yield prediction, and human activity recognition, this premier reference source is a comprehensive resource for computer scientists; AI engineers; data scientists; agriculturalists; government officials; military leaders; business managers and leaders; students and faculty of higher education; academic libraries; academicians; and researchers in computer science, computer vision, pattern recognition, imaging, and engineering bicssc / Robotics bicssc / Agriculture & farming bisacsh Fernlenkflugzeug (DE-588)7530593-8 gnd rswk-swf Unbemanntes Flugzeug (DE-588)4322103-8 gnd rswk-swf Drohne Flugkörper (DE-588)4332556-7 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Fernlenkflugzeug (DE-588)7530593-8 s Drohne Flugkörper (DE-588)4332556-7 s Unbemanntes Flugzeug (DE-588)4322103-8 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Sagayam, K. Martin 1987- Verfasser (DE-588)1277017034 aut Elngar, Ahmed A. 1982- Verfasser (DE-588)124118089X aut Erscheint auch als Online-Ausgabe 978-1-79988-765-2 |
| spellingShingle | Thusnavis, Mary Bella I. 1985- Sagayam, K. Martin 1987- Elngar, Ahmed A. 1982- Unmanned aerial vehicles and multidisciplinary applications using AI techniques bicssc / Robotics bicssc / Agriculture & farming bisacsh Fernlenkflugzeug (DE-588)7530593-8 gnd Unbemanntes Flugzeug (DE-588)4322103-8 gnd Drohne Flugkörper (DE-588)4332556-7 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)7530593-8 (DE-588)4322103-8 (DE-588)4332556-7 (DE-588)4033447-8 (DE-588)4143413-4 |
| title | Unmanned aerial vehicles and multidisciplinary applications using AI techniques |
| title_auth | Unmanned aerial vehicles and multidisciplinary applications using AI techniques |
| title_exact_search | Unmanned aerial vehicles and multidisciplinary applications using AI techniques |
| title_exact_search_txtP | Unmanned aerial vehicles and multidisciplinary applications using AI techniques |
| title_full | Unmanned aerial vehicles and multidisciplinary applications using AI techniques Bella Mary I. Thusnavis, K. Martin Sagayam, Ahmed A. Elngar |
| title_fullStr | Unmanned aerial vehicles and multidisciplinary applications using AI techniques Bella Mary I. Thusnavis, K. Martin Sagayam, Ahmed A. Elngar |
| title_full_unstemmed | Unmanned aerial vehicles and multidisciplinary applications using AI techniques Bella Mary I. Thusnavis, K. Martin Sagayam, Ahmed A. Elngar |
| title_short | Unmanned aerial vehicles and multidisciplinary applications using AI techniques |
| title_sort | unmanned aerial vehicles and multidisciplinary applications using ai techniques |
| topic | bicssc / Robotics bicssc / Agriculture & farming bisacsh Fernlenkflugzeug (DE-588)7530593-8 gnd Unbemanntes Flugzeug (DE-588)4322103-8 gnd Drohne Flugkörper (DE-588)4332556-7 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | bicssc / Robotics bicssc / Agriculture & farming bisacsh Fernlenkflugzeug Unbemanntes Flugzeug Drohne Flugkörper Künstliche Intelligenz Aufsatzsammlung |
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