Unmanned Aerial Vehicles and Multidisciplinary Applications Using Ai Techniques - Couverture rigide

 
9781799887638: Unmanned Aerial Vehicles and Multidisciplinary Applications Using Ai Techniques
Couverture rigide
ISBN 10 : 1799887634 ISBN 13 : 9781799887638
Editeur : Business Science Reference, 2022

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Bella Mary I. Thusnavis, Karunya Institute of Technology and Sciences, India

K. Martin Sagayam, Karunya Institute of Technology and Sciences, India

Ahmed A. Elngar, Faculty of Computers & Artificial Intelligence Beni-Suef University, Beni Suef City, Egypt

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Business Science Reference
Date d'édition
2022
Langue
anglais
ISBN 10 
1799887634
ISBN 13 
9781799887638
Reliure
Relié
Nombre de pages
300
Éditeur
Thusnavis Bella Mary I., Sagayam K. Martin, Elngar Ahmed A
Coordonnées du fabricant
non disponible
Personne responsable
non disponible

Autres éditions populaires du même titre

9781799887645: Unmanned Aerial Vehicles and Multidisciplinary Applications Using Ai Techniques

Edition présentée

ISBN 10 :  1799887642 ISBN 13 :  9781799887645
Editeur : Business Science Reference, 2022
Couverture souple