Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques

Bella Mary I. Thusnavis, K. Martin Sagayam, Ahmed A. Elngar (Herausgeber)

Media-Kombination

306 Seiten

2022
IGI Global
978-1-6684-4260-9 (ISBN)

Infos

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.

Autor

Bella Mary I. Thusnavis received her B.E in Electronics and Communication Engineering with distinction from Karunya Institute of Technology, affiliated to Anna University, Chennai, India in 2007 and her M.E in Applied Electronics from Karunya University, India in 2009. She completed her Ph.D degree in Information and Communication Engineering under Anna University, Chennai, India, in 2020. Her research includes Multimedia Image Retrieval for Medical Diagnosis, Statistical Feature Extraction, Optimization algorithm and Embedded Systems. She is currently working as Assistant Professor in Electronics and Communication Engineering, Karunya University, Coimbatore, India. She has 11 international Journal Publications and 19 International and National Conference Publications. K. Martin Sagayam received his PhD in Electronics and Communication Engineering (Signal image processing using machine learning algorithms) from Karunya University. He received Master of Engineering in Communication Systems from Anna University, Chennai and received Bachelor of Enigeering in Electronics and Communication Engineering from Anna University. Currently, he is working as Assistant Professor in the Department of ECE, Karunya Institute Technology and Sciences, Coimbatore, India. He has authored/ co-authored more than 30 referred International Journals. He has also presented more than 20 papers in reputed international and national conferences. He has authored 10 book chapters with reputed international publishers like Elsevier, Springer, IGI Global and CRC press. He has editor in the reputed book and book series with reputed international publishers like IGI Global, and CRC Press. He has reviewed research articles from the journal of Signal, Image and Video Processing, Intelligent Decision Technologies, International Journal of Engineering Research & Technology, Pattern analysis and its applications and Informing Science Institute. He is an active member of professional bodies such as Engineering and Scientific Research Groups, International Society of Promising Computer Engineers, Copernicus, Scientific Engineering Research Corporation, International Association of Computer Science and Information Technology, International Association of Engineers, Indian Society of Electronics and Communication Engineering and Orcid. His area of interest includes Communication systems, signal and image processing, machine learning and virtual reality. Ahmed A. Elngar currently is an Assistant Professor at Faculty of Computers and Artificial Intelligence, Department of Computer Science, Beni Suef University. Their current project is 'Biometrics, AI-based Security, Image processing, AI-based Control, AI-based Smart Grids'.

Produkt-Details

• Erscheint lt. Verlag: 27.5.2022
• Reihe/Serie: Advances in Computational Intelligence and Robotics
• Verlagsort: Hershey
• Sprache: englisch
• Maße: 178 x 254 mm
• Themenwelt: Natur / Technik ► Fahrzeuge / Flugzeuge / Schiffe ► Luftfahrt / Raumfahrt
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• ISBN-10: 1-6684-4260-4 / 1668442604
• ISBN-13: 978-1-6684-4260-9 / 9781668442609
• Zustand: Neuware