Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Farshid Hajati"'
Autor:
Alireza Sadeghi, Mahdieh Sadeghi, Ali Sharifpour, Mahdi Fakhar, Zakaria Zakariaei, Mohammadreza Sadeghi, Mojtaba Rokni, Atousa Zakariaei, Elham Sadat Banimostafavi, Farshid Hajati
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract COVID-19 is a highly communicable respiratory illness caused by the novel coronavirus SARS-CoV-2, which has had a significant impact on global public health and the economy. Detecting COVID-19 patients during a pandemic with limited medical
Externí odkaz:
https://doaj.org/article/01964a0bbdab4db893b34be27905ee30
Road networks and socio-demographic factors to explore COVID-19 infection during its different waves
Autor:
Shahadat Uddin, Arif Khan, Haohui Lu, Fangyu Zhou, Shakir Karim, Farshid Hajati, Mohammad Ali Moni
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The COVID-19 pandemic triggered an unprecedented level of restrictive measures globally. Most countries resorted to lockdowns at some point to buy the much-needed time for flattening the curve and scaling up vaccination and treatment capacit
Externí odkaz:
https://doaj.org/article/7043f6656c7643a788da9e9402add67c
Autor:
Amirhossein Panahi, Alireza Rezaee, Farshid Hajati, Sahar Shariflou, Ashish Agar, S. Mojtaba Golzan
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract The presence or absence of spontaneous retinal venous pulsations (SVP) provides clinically significant insight into the hemodynamic status of the optic nerve head. Reduced SVP amplitudes have been linked to increased intracranial pressure an
Externí odkaz:
https://doaj.org/article/c93d6a5709bf4e258fda0f8035d66f56
Publikováno v:
Future Internet, Vol 15, Iss 9, p 304 (2023)
Hospital readmission and length-of-stay predictions provide information on how to manage hospital bed capacity and the number of required staff, especially during pandemics. We present a hybrid deep model called the Genetic Algorithm-Optimized Convol
Externí odkaz:
https://doaj.org/article/18af70bfaf4740b196518015345c0607
Publikováno v:
Healthcare, Vol 11, Iss 12, p 1808 (2023)
Machine learning models are used to create and enhance various disease prediction frameworks. Ensemble learning is a machine learning technique that combines multiple classifiers to improve performance by making more accurate predictions than a singl
Externí odkaz:
https://doaj.org/article/ef79ad262515423b8eff5f4cb7d74982
Publikováno v:
PLoS ONE, Vol 14, Iss 10, p e0211844 (2019)
INTRODUCTION:The first line of treatment for people with Diabetes mellitus is metformin. However, over the course of the disease metformin may fail to achieve appropriate glycemic control, and a second-line therapy may become necessary. In this paper
Externí odkaz:
https://doaj.org/article/b89dcbf461914bd2a453b09da5dd7915
Publikováno v:
International Journal of Automotive Technology. 23:613-622
Autor:
Shahadat Uddin, Arif Khan, Haohui Lu, Fangyu Zhou, Shakir Karim, Farshid Hajati, Mohammad Ali Moni
COVID-19 pandemic triggered an unprecedented level of restrictive measures globally. Most countries resorted to lockdowns at some point to buy the much-needed time for flattening the curve and scaling up vaccination and treatment capacity. Although l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74f8649280d2319c9b2e86a00ee258da
https://doi.org/10.1101/2023.01.31.23285228
https://doi.org/10.1101/2023.01.31.23285228
Publikováno v:
Advanced Information Networking and Applications ISBN: 9783031286933
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e03ce40f0a4c124afc44a063b95be729
https://doi.org/10.1007/978-3-031-28694-0_54
https://doi.org/10.1007/978-3-031-28694-0_54
Autor:
Alireza Izadi, Farshid Hajati, Roohollah Barzamini, Negar Janpors, Babak Farjad, Sahar Barzamini
Publikováno v:
Advanced Information Networking and Applications ISBN: 9783031286933
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::367f5c9527be8a948740e7cc787841fb
https://doi.org/10.1007/978-3-031-28694-0_53
https://doi.org/10.1007/978-3-031-28694-0_53