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pro vyhledávání: '"Faiza Mehmood"'
RPPSP: A Robust and Precise Protein Solubility Predictor by Utilizing Novel Protein Sequence Encoder
Publikováno v:
IEEE Access, Vol 11, Pp 59397-59416 (2023)
Protein solubility prediction is essential to understand diverse types of biological processes and to explore the impact of different factors (ionic strength, temperature, PH of medium and electrostatic repulsion) on the productivity of proteins. It
Externí odkaz:
https://doaj.org/article/a37c0a45fe864df6965c3b7e6812bcf0
Autor:
Faiza Mehmood, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Rehab Shahzadi, Waqar Mahmood, Muhammad Nabeel Asim
Publikováno v:
IEEE Access, Vol 8, Pp 192740-192759 (2020)
In order to accelerate the performance of various Natural Language Processing tasks for Roman Urdu, this article for the very first time provides 3 neural word embeddings prepared using most widely used approaches namely Word2vec, FastText, and Glove
Externí odkaz:
https://doaj.org/article/092b1aef7c9546c3ac9650912739ebc9
Improving patient safety culture in Saudi Arabia (2012–2015): trending, improvement and benchmarking
Autor:
Khalid Alswat, Rawia Ahmad Mustafa Abdalla, Maher Abdelraheim Titi, Maram Bakash, Faiza Mehmood, Beena Zubairi, Diana Jamal, Fadi El-Jardali
Publikováno v:
BMC Health Services Research, Vol 17, Iss 1, Pp 1-14 (2017)
Abstract Background Measuring patient safety culture can provide insight into areas for improvement and help monitor changes over time. This study details the findings of a re-assessment of patient safety culture in a multi-site Medical City in Riyad
Externí odkaz:
https://doaj.org/article/33f8a3fd1cfd4518837da69607dc0054
Autor:
Muhammad Nabeel Asim, Faiza Mehmood, Muhammad Usman Ghani, Waqar Mahmood, Rehab Shahzadi, Muhammad Ali Ibrahim
Publikováno v:
IEEE Access, Vol 8, Pp 192740-192759 (2020)
In order to accelerate the performance of various Natural Language Processing tasks for Roman Urdu, this article for the very first time provides 3 neural word embeddings prepared using most widely used approaches namely Word2vec, FastText, and Glove
Autor:
Anam Sohail, Muhammad Musharaf, Muhammad Saifullah, Ayesha Ashfaq, Jehanzaib Khan, Memoona Zafar, Faiza Mehmood, Syed Amer Mahmood
Publikováno v:
International Journal of Innovations in Science and Technology. :108-119
Urbanization has become a hot issue in context of environmental and socio-political scenarios which is addressed at every forum internationally. The mega cities are considered the main origin of socio-economic development which caused to emerge a num
Autor:
Faiza Mehmood, Muhammad Usman Ghani, Hina Ghafoor, Rehab Shahzadi, Muhammad Nabeel Asim, Waqar Mahmood
Publikováno v:
Applied Energy. 324:119754
Improving patient safety culture in Saudi Arabia (2012–2015): trending, improvement and benchmarking
Autor:
Beena Zubairi, Maher A. Titi, Diana Jamal, Maram Bakash, Faiza Mehmood, Khalid Alswat, Rawia Ahmad Mustafa Abdalla, Fadi El-Jardali
Publikováno v:
BMC Health Services Research, Vol 17, Iss 1, Pp 1-14 (2017)
BMC Health Services Research
BMC Health Services Research
Background Measuring patient safety culture can provide insight into areas for improvement and help monitor changes over time. This study details the findings of a re-assessment of patient safety culture in a multi-site Medical City in Riyadh, Kingdo
Autor:
Muhammad Nabeel Asim, Faiza Mehmood, Muhammad Ali Ibrahim, Muhammad Usman Ghani Khan, Waqar Mahmood
Publikováno v:
Journal of Biomedical Informatics. 116:103699
Exponential growth of biomedical literature and clinical data demands more robust yet precise computational methodologies to extract useful insights from biomedical literature and to perform accurate assignment of disease-specific codes. Such approac
Publikováno v:
MATEC Web of Conferences, Vol 203, p 06011 (2018)
The objective of this research work was to determine the effect of fiber cocktail on mechanical properties of concrete. Three types of fibers were used namely monofilament polypropylene fiber, steel fiber and glass fiber. Steel and glass fiber were i