Zobrazeno 1 - 10
of 217
pro vyhledávání: '"Ezuma A"'
Autor:
Khawaja, Wahab, Ezuma, Martins, Semkin, Vasilii, Erden, Fatih, Ozdemir, Ozgur, Guvenc, Ismail
The use of unmanned aerial vehicles (UAVs) for a variety of commercial, civilian, and defense applications has increased many folds in recent years. While UAVs are expected to transform future air operations, there are instances where they can be use
Externí odkaz:
http://arxiv.org/abs/2402.05909
Global bibliometric analysis of cost effectiveness analysis in healthcare research from 2013 to 2023
Autor:
Kemdi Lugard Okoroiwu, Henshaw Uchechi Okoroiwu, Love Ogochukwu Ude, Chidimma Odilia Ezuma, Emmanuel Ikechukwu Omeje
Publikováno v:
Cost Effectiveness and Resource Allocation, Vol 22, Iss 1, Pp 1-10 (2024)
Abstract Background Cost-effectiveness analysis (CEA) has become a crucial technique in appraising the efficiency of healthcare interventions and resource allocation decisions. Cost-effectiveness analysis is now widely used to evaluate whether the ef
Externí odkaz:
https://doaj.org/article/cb4e061a61dd45828970d72da7fc1acc
Autor:
Khawaja, Wahab, Ezuma, Martins, Semkin, Vasilii, Erden, Fatih, Ozdemir, Ozgur, Guvenc, Ismail
The use of unmanned aerial vehicles (UAVs) for different applications has increased many folds in recent years. The UAVs are expected to change the future air operations. However, there are instances where the UAVs can be used for malicious purposes.
Externí odkaz:
http://arxiv.org/abs/2211.10038
Autor:
Kemdi Lugard Okoroiwu, Henshaw Uchechi Okoroiwu, Love Ogochukwu Ude, Chidimma Odilia Ezuma, Emmanuel Ikechukwu Omeje
Publikováno v:
Cost Effectiveness and Resource Allocation, Vol 22, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/be6eae5376d74f188eb49c624552d070
This work investigates the problem of unmanned aerial vehicles (UAVs) identification using their radar crosssection (RCS) signature. The RCS of six commercial UAVs are measured at 15 GHz and 25 GHz in an anechoic chamber, for both vertical-vertical a
Externí odkaz:
http://arxiv.org/abs/2112.09774
The ubiquity of unmanned aerial vehicles (UAVs) or drones is posing both security and safety risks to the public as UAVs are now used for cybercrimes. To mitigate these risks, it is important to have a system that can detect or identify the presence
Externí odkaz:
http://arxiv.org/abs/2107.04908
The use of supervised learning with various sensing techniques such as audio, visual imaging, thermal sensing, RADAR, and radio frequency (RF) have been widely applied in the detection of unmanned aerial vehicles (UAV) in an environment. However, lit
Externí odkaz:
http://arxiv.org/abs/2104.06614
This paper presents a radar cross-section (RCS)-based statistical recognition system for identifying/ classifying unmanned aerial vehicles (UAVs) at microwave frequencies. First, the paper presents the results of the vertical (VV) and horizontal (HH)
Externí odkaz:
http://arxiv.org/abs/2102.11954
In this work, we performed a thorough comparative analysis on a radio frequency (RF) based drone detection and identification system (DDI) under wireless interference, such as WiFi and Bluetooth, by using machine learning algorithms, and a pre-traine
Externí odkaz:
http://arxiv.org/abs/2102.11894
Publikováno v:
2021 IEEE Aerospace Conference
We propose a design that uses the principle of chaos for UAV secure communication. A UAV identified as an aerial base station communicates with a ground base station over an RF channel. The communication units have dynamics based on the logistic map.
Externí odkaz:
http://arxiv.org/abs/2101.03880