Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Umair Khalil"'
Autor:
Tahira Aslam, Amina Arif, Shafia Arshad, Fatima Muccee, Khalil Ahmad, Muhammad Omer Iqbal, Umair Khalil, Suhail Razak, Tayyaba Afsar, Ali Almajwal, Huma Shafique, Maryam Zain
Publikováno v:
Frontiers in Medicine, Vol 10 (2024)
IntroductionMedicinal plants like Punica granatum (pomegranate) have traditional uses against diabetes, inflammation and other diseases. The study was initiated to get an insight into the interaction tendency of P. granatum derived compounds with dia
Externí odkaz:
https://doaj.org/article/938de824e863467c803951ba628a6444
Autor:
Naseem Asghar, Umair Khalil, Basheer Ahmad, Huda M. Alshanbari, Muhammad Hamraz, Bakhtiyar Ahmad, Dost Muhammad Khan
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract In recent times, time-to-event data such as time to failure or death is routinely collected alongside high-throughput covariates. These high-dimensional bioinformatics data often challenge classical survival models, which are either infeasib
Externí odkaz:
https://doaj.org/article/5c1e76b9417f47ac8e005ff5307cdff2
Autor:
Imad Khan, Muhammad Noor-ul-Amin, Dost Muhammad Khan, Umair Khalil, Emad A. A. Ismail, Uzma Yasmeen, Bakhtiyar Ahmad
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract The article introduces a novel Bayesian AEWMA Control Chart that integrates different loss functions (LFs) like the square error loss function and Linex loss function under an informative prior for posterior and posterior predictive distribu
Externí odkaz:
https://doaj.org/article/8d6a18bb0f1243abb768c1d0c6e31a13
Publikováno v:
PLoS ONE, Vol 19, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/9ce3f661bf804ca1939c3bad7bb90be5
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Outlying observations have a large influence on the linear model selection process. In this article, we present a novel approach to robust model selection in linear regression to accommodate the situations where outliers are present in the d
Externí odkaz:
https://doaj.org/article/4b852032ce694dd59b5de25c4081ec69
Autor:
Dost Muhammad Khan, Muhammad Ali, Nadeem Iqbal, Umair Khalil, Hassan M. Aljohani, Amirah Saeed Alharthi, Ahmed Z. Afify
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
In this article, a new hybrid time series model is proposed to predict COVID-19 daily confirmed cases and deaths. Due to the variations and complexity in the data, it is very difficult to predict its future trajectory using linear time series or math
Externí odkaz:
https://doaj.org/article/2ae7a1a5c2634713ae48b584353152de
Publikováno v:
Mehran University Research Journal of Engineering and Technology, Vol 39, Iss 2, Pp 257-266 (2020)
The demand of energy usage is increasing rapidly and to meet the energy requirements, best possible transmission systems should be adopted to avoid energy losses in our transmission systems. In Pakistan’s WAPDA (Water and Power Development Authorit
Externí odkaz:
https://doaj.org/article/fd90f785cad84f54971ccbfe8456e26a
Autor:
Amjad Ali, Muhammad Hamraz, Poom Kumam, Dost Muhammad Khan, Umair Khalil, Muhammad Sulaiman, Zardad Khan
Publikováno v:
IEEE Access, Vol 8, Pp 132095-132105 (2020)
Ensemble methods based on k-NN models minimise the effect of outliers in a training dataset by searching groups of the k closest data points to estimate the response of an unseen observation. However, traditional k-NN based ensemble methods use the a
Externí odkaz:
https://doaj.org/article/f291950ca5fb4d6196b52d613cea4e95
Autor:
Muhammad Arif, Dost Muhammad Khan, Muhammad Aamir, Umair Khalil, Rashad A. R. Bantan, Mohammed Elgarhy
Publikováno v:
Journal of Mathematics, Vol 2022 (2022)
The COVID-19 epidemic has affected every aspect of daily life since December 2019 and caused massive damage to the world. The coronavirus epidemic has affected more than 150 countries around the world. Many researchers have tried to develop a statist
Externí odkaz:
https://doaj.org/article/1bf4ed8d49ad44bfa11d99455d970871
Autor:
Imad Khan, Dost Muhammad Khan, Muhammad Noor-ul-Amin, Umair Khalil, Huda M. Alshanbari, Zubair Ahmad
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 2837 (2023)
A memory-type control chart is an important tool of statistical process control for monitoring small to moderate shifts in the manufacturing process. Using the prior information by the Bayesian approach is helpful in control charts. In this paper, a
Externí odkaz:
https://doaj.org/article/0f35b2c6791945c4a00585ad3981c4f6