Unmanned aerial vehicles and multidisciplinary applications using AI techniques
Advances in computational intelligence and robotics (ACIR) book series./ [edited by] Bella Mary I. Thusnavis, K. Martin Sagayam, Ahmed A. Elngar.

Thusnavis Mary Bella I.,; Elngar Ahmed A.,; Sagayam K. Martin,

Главная
→
EBSCO eBook (только для КФУ)
→
Полнотекстовая коллекция книг EBSCO eBook
→
Просмотр элемента

dc.contributor.author	Thusnavis Mary Bella I.,
dc.contributor.author	Sagayam K. Martin,
dc.contributor.author	Elngar Ahmed A.,
dc.date.accessioned	2024-01-29T22:02:34Z
dc.date.available	2024-01-29T22:02:34Z
dc.date.issued	2022
dc.identifier.citation	Unmanned aerial vehicles and multidisciplinary applications using AI techniques Advances in computational intelligence and robotics (ACIR) book series. - 1 online resource (xix, 306 pages) : - URL: https://libweb.kpfu.ru/ebsco/pdf/3377012.pdf
dc.identifier.isbn	1799887650
dc.identifier.isbn	9781799887669
dc.identifier.isbn	1799887669
dc.identifier.isbn	9781799887652
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/180204
dc.description	"Premier reference source"--Cover.
dc.description	Includes bibliographical references and index.
dc.description.abstract	"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"--
dc.description.tableofcontents	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.
dc.language	English
dc.language.iso	en
dc.relation.ispartofseries	Advances in computational intelligence and robotics (ACIR) book series
dc.relation.ispartofseries	Advances in computational intelligence and robotics (ACIR) book series.
dc.subject.other	Drone aircraft -- Industrial applications.
dc.subject.other	Aerial surveillance.
dc.subject.other	Drones -- Applications industrielles.
dc.subject.other	Surveillance aérienne.
dc.subject.other	Aerial surveillance.
dc.title	Unmanned aerial vehicles and multidisciplinary applications using AI techniques Advances in computational intelligence and robotics (ACIR) book series./ [edited by] Bella Mary I. Thusnavis, K. Martin Sagayam, Ahmed A. Elngar.
dc.type	Book
dc.description.pages	1 online resource (xix, 306 pages) :
dc.collection	Электронно-библиотечные системы
dc.source.id	EN05CEBSCO05C953