Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Shabib Aftab"'
Autor:
Muhammad Safdar Ali Khan, Arif Husen, Shafaq Nisar, Hasnain Ahmed, Syed Shah Muhammad, Shabib Aftab
Publikováno v:
PeerJ Computer Science, Vol 10, p e1938 (2024)
Deep learning approaches are generally complex, requiring extensive computational resources and having high time complexity. Transfer learning is a state-of-the-art approach to reducing the requirements of high computational resources by using pre-tr
Externí odkaz:
https://doaj.org/article/e52eedd3ae8a409dade49873af42170a
Autor:
Usama Ahmed, Ghassan F. Issa, Muhammad Adnan Khan, Shabib Aftab, Muhammad Farhan Khan, Raed A. T. Said, Taher M. Ghazal, Munir Ahmad
Publikováno v:
IEEE Access, Vol 10, Pp 8529-8538 (2022)
In the medical field, it is essential to predict diseases early to prevent them. Diabetes is one of the most dangerous diseases all over the world. In modern lifestyles, sugar and fat are typically present in our dietary habits, which have increased
Externí odkaz:
https://doaj.org/article/b1fa167269e54f3ba4ced24b152e26c4
Autor:
Faseeha Matloob, Taher M. Ghazal, Nasser Taleb, Shabib Aftab, Munir Ahmad, Muhammad Adnan Khan, Sagheer Abbas, Tariq Rahim Soomro
Publikováno v:
IEEE Access, Vol 9, Pp 98754-98771 (2021)
Recent advances in the domain of software defect prediction (SDP) include the integration of multiple classification techniques to create an ensemble or hybrid approach. This technique was introduced to improve the prediction performance by overcomin
Externí odkaz:
https://doaj.org/article/793561ad3b334278a4c74dea4b165f93
Autor:
Shabib Aftab, Sagheer Abbas, Taher M. Ghazal, Munir Ahmad, Hussam Al Hamadi, Chan Yeob Yeun, Muhammad Adnan Khan
Publikováno v:
Mathematics, Vol 11, Iss 3, p 632 (2023)
This research contributes an intelligent cloud-based software defect prediction system using data and decision-level machine learning fusion techniques. The proposed system detects the defective modules using a two-step prediction method. In the firs
Externí odkaz:
https://doaj.org/article/15b3f24126c947599793073ea4e19da3
Autor:
Atta-ur Rahman, Sagheer Abbas, Mohammed Gollapalli, Rashad Ahmed, Shabib Aftab, Munir Ahmad, Muhammad Adnan Khan, Amir Mosavi
Publikováno v:
Sensors, Vol 22, Iss 9, p 3504 (2022)
Precipitation in any form—such as rain, snow, and hail—can affect day-to-day outdoor activities. Rainfall prediction is one of the challenging tasks in weather forecasting process. Accurate rainfall prediction is now more difficult than before du
Externí odkaz:
https://doaj.org/article/32843dd0435a48ecbfe411e39798e256
Autor:
Sagheer Abbas, Shabib Aftab, Muhammad Adnan Khan, Taher M. Ghazal, Hussam Al Hamadi, Chan Yeob Yeun
Publikováno v:
Computers, Materials & Continua. 75:6083-6100
Autor:
Muhammad Adnan Khan, Nouh Sabri Elmitwally, Sagheer Abbas, Shabib Aftab, Munir Ahmad, Muhammad Fayaz, Faheem Khan
Publikováno v:
Scientific Programming. 2022:1-10
The demand for automated online software systems is increasing day by day, which triggered the need for high-quality and maintainable softwares at lower cost. Software defect prediction is one of the crucial tasks of the quality assurance process whi
Autor:
Sagheer Abbas, Muhammad Iqbal, Baha Ihnaini, Muhammad Adnan Khan, Ahmed Iqbal, Shabib Aftab, Mohammad Sh. Daoud, Munir Ahmad
Publikováno v:
Intelligent Automation & Soft Computing. 31:1287-1300
Autor:
Taher M. Ghazal, Shahan Yamin Siddiqui, Munir Ahmad, Sajida Noreen, Sagheer Abbas, Muhammad Adnan Khan, Shabib Aftab, Raed A. Said
Publikováno v:
Intelligent Automation & Soft Computing. 31:539-553
Autor:
Areej Fatima, Sagheer Abbas, Shabib Aftab, Javeid, M.Sh. Daoud, Baha Ihnaini, Khan, Wasim Ahmad Khan, Munir Ahmad
Publikováno v:
Computers, Materials & Continua. 70:109-121