Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Rehan Raza"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 6, Pp 102086- (2024)
Deep learning technologies have led to substantial breakthroughs in the field of biomedical image analysis. Accurate brain tumor segmentation is an essential aspect of treatment planning. Radiologists agree that manual segmentation is a difficult and
Externí odkaz:
https://doaj.org/article/b0d06c81a14b4e4189befed2111fbaa0
Publikováno v:
IEEE Access, Vol 11, Pp 143250-143271 (2023)
The use of technology, especially mobile phones, has significantly increased over the past few decades and has become an essential element in our daily lives. Mobile and desktop applications based on Augmented Reality (AR) proved to be a revolutionar
Externí odkaz:
https://doaj.org/article/287b63965cb94519823634bdb31fada6
Autor:
Rehan Raza, Fatima Zulfiqar, Shehroz Tariq, Gull Bano Anwar, Allah Bux Sargano, Zulfiqar Habib
Publikováno v:
Mathematics, Vol 10, Iss 1, p 26 (2021)
Human skin is the most exposed part of the human body that needs constant protection and care from heat, light, dust, and direct exposure to other harmful radiation, such as UV rays. Skin cancer is one of the dangerous diseases found in humans. Melan
Externí odkaz:
https://doaj.org/article/1754bc792aca498bb6345dfbcd7d569a
Publikováno v:
Indian Journal of Computer Science and Engineering. 12:798-817
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a70215fa8c8fa8cc864eddb3e7fc9964
https://doi.org/10.21817/indjcse/2021/v12i4/211204022
https://doi.org/10.21817/indjcse/2021/v12i4/211204022
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf2e28397ffd530091fa776f49929495
https://doi.org/10.2139/ssrn.4024177
https://doi.org/10.2139/ssrn.4024177
Publikováno v:
Journal of Lightwave Technology. 37:5161-5169
Network slicing enables an infrastructure provider (InP) to support heterogeneous 5G services over a common platform (i.e., by creating a customized slice for each service). Once in operation, slices can be dynamically scaled up/down to match the var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57076bb5cb1c28547c69bcc21bc31d53
https://doi.org/10.1109/jlt.2019.2924345
https://doi.org/10.1109/jlt.2019.2924345
Publikováno v:
Journal of Lightwave Technology. 37:1690-1697
Network slicing is a key concept in 5G networking. It enables an infrastructure provider (InP) to support heterogeneous services over a common platform by creating a customized slice for each one of them. Once in operation, the slices can be dynamica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90077eab376c5172615cdfe8383e4a19
https://doi.org/10.1109/jlt.2019.2896138
https://doi.org/10.1109/jlt.2019.2896138
Objective: The purpose of the research was to conclude the commonness of variant ear complications among divers as well as the contributory elements of these complications. Material and Method: This cross-sectional research was carried out at UHS, La
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0256bfcd81585cc74a9332f378ec60d7
Objective: The intravenous and oral iron treatment effectiveness comparison in postpartum anaemia is the objective of the research. Material and Method: This Randomized Control Trial was carried out at UHS, Lahore from July 2018 to February 2019. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f4b8f0731ce25ff31ca7e11ab176576
Publikováno v:
OECC/PSC
The paper discusses how the slice admission problem can be aided by machine learning strategies. Results show that both supervised and reinforcement learning might lead to profit maximization while containing losses due to performance degradation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ad86024191ebd29af6eebaf400bebce
https://doi.org/10.23919/ps.2019.8817990
https://doi.org/10.23919/ps.2019.8817990