Zobrazeno 1 - 10
of 247
pro vyhledávání: '"Wazir Muhammad"'
Autor:
Ibrar Ahmad, Muhammad Nadeem Khan, Khizar Hayat, Tanveer Ahmad, Dilawar Farhan Shams, Waliullah Khan, Vineet Tirth, Gauhar Rehman, Wazir Muhammad, Muawya Elhadi, Afraa Alotaibi, Said Karim Shah
Publikováno v:
ACS Omega, Vol 9, Iss 11, Pp 13208-13216 (2024)
Externí odkaz:
https://doaj.org/article/04f8a3e70b534da289794ea577517e9b
Autor:
Umair Azeem, Hannan Younis, Niamat ullah, Khurram Mehboob, Muhammad Ajaz, Mushtaq Ali, Abdullah Hidayat, Wazir Muhammad
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 1, Pp 207-215 (2024)
This study focuses on measuring the levels of naturally occurring radioactivity in the soil of Swabi, Khyber Pakhtunkhwa, Pakistan, as well as the associated health hazard. Thirty (30) soil samples were collected from various locations and analyzed f
Externí odkaz:
https://doaj.org/article/a1f2284a38f4426b95d25a5f9d9137be
Autor:
Saad Bin Saeed Ahmed, Shahzaib Naeem, Agha Muhammad Hammad Khan, Bilal Mazhar Qureshi, Amjad Hussain, Bulent Aydogan, Wazir Muhammad
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Background and purposeWe proposed an artificial neural network model to predict radiobiological parameters for the head and neck squamous cell carcinoma patients treated with radiation therapy. The model uses the tumor specification, demographics, an
Externí odkaz:
https://doaj.org/article/93229ea7376a449d87305c64e2c42ae9
Autor:
Hannan Younis, Sumbilah Shafique, Zahida Ehsan, Aleena Ishfaq, Khurram Mehboob, Muhammad Ajaz, Abdullah Hidayat, Wazir Muhammad
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 7, Pp 2447-2453 (2023)
The radioactivity concentrations of Naturally Occurring Radioactive Materials (NORM) i.e., 226Ra, 232Th, and 4 K in various chemical fertilizers being used in the agricultural soil of Pakistan were determined utilizing gamma spectrometry by employing
Externí odkaz:
https://doaj.org/article/51ee7a16ff7c4b3995b7e7a021eaaf1e
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
Introduction: Various prompt gamma (PG) ray-based techniques have been proposed to monitor the proton range during treatment, but the poor PG statistics produced entangle their clinical application. Recently, we developed a Monte Carlo (MC) simulatio
Externí odkaz:
https://doaj.org/article/cf74d8001da743b2a160da554e38d2be
Publikováno v:
IEEE Access, Vol 11, Pp 45989-46003 (2023)
Recent research on image and video processing using convolutional neural networks has shown remarkable improvements, especially in the area of single image super-resolution(SISR). The primary target of SISR is to recover the visually appealing high-r
Externí odkaz:
https://doaj.org/article/f09e0eb8d08b4f799e770b77c9f3b9cc
Autor:
Gregory R. Hart, Vanessa Yan, Bradley J. Nartowt, David A. Roffman, Gigi Stark, Wazir Muhammad, Jun Deng
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2023)
Despite large investment cancer continues to be a major source of mortality and morbidity throughout the world. Traditional methods of detection and diagnosis such as biopsy and imaging, tend to be expensive and have risks of complications. As data b
Externí odkaz:
https://doaj.org/article/2cb1cc909ab14854b8a7f4dbfae3f717
Publikováno v:
Frontiers in Physiology, Vol 12 (2022)
The proposed algorithm of inverse problem of computed tomography (CT), using limited views, is based on stochastic techniques, namely simulated annealing (SA). The selection of an optimal cost function for SA-based image reconstruction is of prime im
Externí odkaz:
https://doaj.org/article/633cd19ab31c4c1ba6878e0b7d4c5270
Publikováno v:
PLoS ONE, Vol 16, Iss 8, p e0249278 (2021)
The main target of Single image super-resolution is to recover high-quality or high-resolution image from degraded version of low-quality or low-resolution image. Recently, deep learning-based approaches have achieved significant performance in image
Externí odkaz:
https://doaj.org/article/2fe902e341ae403db0d00aae30ccb45c
Autor:
Gregory R. Hart, Vanessa Yan, Gloria S. Huang, Ying Liang, Bradley J. Nartowt, Wazir Muhammad, Jun Deng
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
Incidence and mortality rates of endometrial cancer are increasing, leading to increased interest in endometrial cancer risk prediction and stratification to help in screening and prevention. Previous risk models have had moderate success with the ar
Externí odkaz:
https://doaj.org/article/e02f06417af44d92981931580d506054