Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Hossein Soleimani"'
Autor:
Ali Ghanbarzadeh, Hossein Soleimani
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e37962- (2024)
Transferring the ImageNet pre-trained weights to the various remote sensing tasks has produced acceptable results and reduced the need for labeled samples. However, the domain differences between ground imageries and remote sensing images cause the p
Externí odkaz:
https://doaj.org/article/215868975c12408aac297a357360c788
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102481- (2024)
The importance of sensor networks in the field of IoT cannot be overstated, especially with the growing demand for IoT solutions. The new Internet protocols such as IPv6 and 5G mobile provide high-capacity communication networks, demonstrating the re
Externí odkaz:
https://doaj.org/article/135d4c8adec64e9e957a78d9c3d961df
Publikováno v:
International Journal of Antennas and Propagation, Vol 2024 (2024)
Beamforming is a technique commonly used in wireless communication systems to enhance the signal quality of a receiver. In this study, we compare the performance of an encoder-based beamformer with convolutional neural network (CNN) and minimum varia
Externí odkaz:
https://doaj.org/article/53e7312f39374af489089dbad4fbedd7
Autor:
Fardin Ghorbani, Hossein Soleimani
Publikováno v:
Results in Applied Mathematics, Vol 17, Iss , Pp 100354- (2023)
This paper employed deep learning to do two-dimensional, multi-object locating in Through-the-Wall Radar under conditions where the wall is treated as a complex electromagnetic medium. We made five assumptions about the wall and two about the number
Externí odkaz:
https://doaj.org/article/ba91af03522a49e1aa4d6aca647f0825
Publikováno v:
Buildings, Vol 13, Iss 10, p 2599 (2023)
One of the most significant concerns in urban development today is the organization of areas of cities that have become run-down over time. In order to complete previous constructability studies in other fields of construction, the current study eval
Externí odkaz:
https://doaj.org/article/a13f45255d524e419d490ee5c87dc9d7
Publikováno v:
IET Radar, Sonar & Navigation, Vol 16, Iss 1, Pp 170-181 (2022)
Abstract Synthetic Impulse and Aperture Radar (SIAR) is a kind of Multiple Input Multiple Output (MIMO) radar. It is a four‐dimensional radar that has advantages against stealth targets, multi targets, anti‐radiated missile, reconnaissance and in
Externí odkaz:
https://doaj.org/article/c3a6391f82454fbe9207fa360582d7c4
Autor:
Ali Dehghan, Hossein Soleimani Salehabadi, Ahmadreza Jamshidi, Zohre Kamali, Mojgan Mali, Seyedeh Tahereh Faezi, Azarakhsh Baghdadi, Sogol Alesaeidi, Fatemeh Sahraei, Niloufar Azizi, Sanaz Zand, Sara Sadat Yasini, Maryam Namazi, Atefe Daya, Ryan Nazemian, Farimah Shamsi, Mohammad Nejadhosseinian, Fereydoun Davatchi
Publikováno v:
BMC Rheumatology, Vol 5, Iss 1, Pp 1-9 (2021)
Abstract Background The purpose of this study was to determine the prevalence of musculoskeletal complaints, rheumatologic diseases, and disability among the Zoroastrian population in Iran. Methods The city of Yazd, in central Iran was selected for t
Externí odkaz:
https://doaj.org/article/b92de3e72e1c49f981013f781553990e
Autor:
Fardin Ghorbani, Sina Beyraghi, Javad Shabanpour, Homayoon Oraizi, Hossein Soleimani, Mohammad Soleimani
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Beyond the scope of conventional metasurface, which necessitates plenty of computational resources and time, an inverse design approach using machine learning algorithms promises an effective way for metasurface design. In this paper, benefi
Externí odkaz:
https://doaj.org/article/6ddb4d8fd4794af39fa08837cff13b83
Publikováno v:
IEEE Access, Vol 8, Pp 204173-204182 (2020)
Computer-aided diagnosis (CAD) has long become an integral part of radiological management of breast disease, facilitating a number of important clinical applications, including quantitative assessment of breast density and early detection of maligna
Externí odkaz:
https://doaj.org/article/ae43d0522b5a4a5499d14c1a31d67fe5
Autor:
Fardin Ghorbani, Hossein Soleimani
Publikováno v:
International Journal of Antennas and Propagation, Vol 2022 (2022)
The purpose of this paper is to present a deep learning model that simultaneously estimates targets and wall parameters in through-the-wall radar (TWR). As a result of the complexity of the environments in which through-the-wall radars operate, TWR f
Externí odkaz:
https://doaj.org/article/1903cdbdf9374a43a984153fd1ddf8e5