Unmanned aerial vehicles and multidisciplinary applications using AI techniques

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	Table	Card	RUSMARC

Title:	Advances in computational intelligence and robotics (ACIR) book series. Unmanned aerial vehicles and multidisciplinary applications using AI techniques
Other creators:	Thusnavis Mary Bella I.,; Sagayam K. Martin,; Elngar Ahmed A.,
Collection:	Электронные книги зарубежных издательств; Общая коллекция
Subjects:	Drone aircraft — Industrial applications.; Aerial surveillance.; Drones — Applications industrielles.; Surveillance aérienne.; EBSCO eBooks
Document type:	Other
File type:	PDF
Language:	English
Rights:	Доступ по паролю из сети Интернет (чтение, печать, копирование)
Record key:	on1268543920

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"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"--.

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Cover
Title Page
Copyright Page
Book Series
Table of Contents
Detailed Table of Contents
Preface
Chapter 1: UAVs for Multidisciplinary Applications
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
Chapter 6: Urban Intelligence and IoT-UAV Applications in Smart Cities
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
Chapter 10: Future Trends and Challenges of UAV
Compilation of References
Related References
About the Contributors
Index

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