Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Saleh N. Almuayqil"'
Autor:
Saleh N. Almuayqil, Murtada K. Elbashir, Mohamed Ezz, Mohanad Mohammed, Ayman Mohamed Mostafa, Meshrif Alruily, Eslam Hamouda
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 10919 (2023)
Cancer diagnosis and treatment depend on accurate cancer-type prediction. A prediction model can infer significant cancer features (genes). Gene expression is among the most frequently used features in cancer detection. Deep Learning (DL) architectur
Externí odkaz:
https://doaj.org/article/e698e3b04bef4463bfe0bcd872543164
Autor:
Manal Almalki, Majid H. Alsulami, Abdulrahman A. Alshdadi, Saleh N. Almuayqil, Mohammed S. Alsaqer, Anthony S. Atkins, Mohamed-Amine Choukou
Publikováno v:
International journal of environmental research and public health. 19(24)
Adoption of Ambient Assisted Living (AAL) technologies for geriatric healthcare is suboptimal. This study aims to present the AAL Adoption Diamond Framework, encompassing a set of key enablers/barriers as factors, and describe our approach to develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47babb54297892bc5854fd032f060f15
https://pubmed.ncbi.nlm.nih.gov/36554640
https://pubmed.ncbi.nlm.nih.gov/36554640
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 5:1609-1617
COVID-19 is a viral disease that became a pandemic representing a very great challenge worldwide The purpose of this article is to analyze COVID-19 patients' data based on time-to-event analysis and identify the factors that affect the recovery time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39099d54d5d1c8160e60e0be46c4bb74
https://doi.org/10.25046/aj0506192
https://doi.org/10.25046/aj0506192