Zobrazeno 1 - 10
of 1 726
pro vyhledávání: '"Unmanned Aerial Systems"'
UAV-supported intelligent truth discovery to achieve low-cost communications in mobile crowd sensing
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 4, Pp 837-852 (2024)
Unmanned and aerial systems as interactors among different system components for communications, have opened up great opportunities for truth data discovery in Mobile Crowd Sensing (MCS) which has not been properly solved in the literature. In this p
Externí odkaz:
https://doaj.org/article/462e816d70a64da8bb4a196a90ad3e1d
Autor:
Mikio Ishiwatari
Publikováno v:
Progress in Disaster Science, Vol 23, Iss , Pp 100348- (2024)
Summary: Drones, unmanned aerial systems, are of growing interest to organizations involved in disaster risk reduction, particularly in post-disaster emergency response. Despite the potential benefits of drones, their use is not well established and
Externí odkaz:
https://doaj.org/article/2eb0a7e1e296448c9b2ed54b8ca16692
Autor:
А. А. Sazanova
Publikováno v:
Управленческие науки, Vol 14, Iss 1, Pp 21-31 (2024)
TUnmanned Aerial Systems (UAS), despite their relative novelty, are already an integral component of the general aviation structure, and, based on a number of complex and sophisticated solutions, including those related to artificial intelligence, ar
Externí odkaz:
https://doaj.org/article/63e994de81e2473b8ea71ba37b243ea7
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Manned and unmanned systems are prevalent in a wide range of aerial searching applications. For aircraft whose trajectory is not or cannot be planned on-the-fly, optimal deterministic search pattern generation is a critical area of research.
Externí odkaz:
https://doaj.org/article/36168f670e354a919fc44546bd0536e2
Publikováno v:
Marketing of Scientific and Research Organizations, Vol 51, Iss 1, Pp 87-116 (2024)
In this paper we advocate for the establishment of an aviation “innovative ecosystem” in Ukraine, particularly regarding the technology of unmanned aerial vehicles (UAVs). This ambitious strategy necessitates the introduction of new business mode
Externí odkaz:
https://doaj.org/article/5083e532268445b888815c175e571a35
Publikováno v:
Documenta Praehistorica, Vol 51 (2024)
Ota, a key part of the Chalcolithic walled enclosure phenomenon in Portuguese Estremadura, represents a unique settlement strategy within the actual territory of Portugal. The architecture and social dynamics of this site remained largely unexplored
Externí odkaz:
https://doaj.org/article/d0c0bcdb7f90493e92f21642c527d051
Autor:
Don Rassler, Yannick Veilleux-Lepage
Publikováno v:
TATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, Vol 33, Iss 2 (2024)
Building upon the existing literature on terror innovation, this research article introduces a new analytical framework that highlights four key elements of emerging technologies which facilitate their adoption by terrorist groups. We posit that tech
Externí odkaz:
https://doaj.org/article/8785bc63e2ac4930add2bea8438c84b7
Publikováno v:
Defence Technology, Vol 31, Iss , Pp 537-543 (2024)
We consider a scenario where an unmanned aerial vehicle (UAV), a typical unmanned aerial system (UAS), transmits confidential data to a moving ground target in the presence of multiple eavesdroppers. Multiple friendly reconfigurable intelligent surfa
Externí odkaz:
https://doaj.org/article/88070ac744c749b4bc9b2217e83a6c63
Autor:
Jungmok Ma, Oleg A. Yakimenko
Publikováno v:
Defence Technology, Vol 30, Iss , Pp 23-31 (2023)
Military object detection and identification is a key capability in surveillance and reconnaissance. It is a major factor in warfare effectiveness and warfighter survivability. Inexpensive, portable, and rapidly deployable small unmanned aerial syste
Externí odkaz:
https://doaj.org/article/575a80137a3540e8b9f69c8566762bf8
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3296 (2024)
One of the most important and widespread corn/maize virus diseases is maize dwarf mosaic (MDM), which can be induced by sugarcane mosaic virus (SCMV). This study explores a machine learning analysis of five-band multispectral imagery collected via an
Externí odkaz:
https://doaj.org/article/3c582ae1bbd442f1949bd1180b89019f