Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Qazi Sami"'
Autor:
Raheel, Muhammad, Khan, Haris, Iqbal, Mudassir, Khan, Rawid, Saberian, Mohammad, Li, Jie, Ullah, Qazi Sami
Publikováno v:
In Structures August 2023 54:499-514
Autor:
Muhammad Raheel, Haris Khan, Mudassir Iqbal, Rawid Khan, Mohammad Saberian, Jie Li, Qazi Sami Ullah
Publikováno v:
Structures. 54:499-514
Autor:
Shah Zeb, Muhammad Naveed, Mariam Danish Iqbal, Faisal Shahzad, Muhammad Hassan, Muhammad Fayyaz Khan, Shawal Khan, Sumaira Salahuddin Lodhi, Azhar Abbas, Kaleem Ullah, Abbas Ahmad, Farman Ali, Shafiq Ur Rahman, Qazi Sami Ul Haq
Publikováno v:
International journal of health sciences. 7:118-127
We analyzed the electronic data (e-data) of n=5231 vaccinated candidates including n=3671 males and n=1560 females. We studied the COVID-19 vaccine brands such as Sino pharm, CanSino, SinoVac, Moderna and Pfizer. We noted adverse effects in post-vacc
Akademický článek
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Autor:
Sajjad Wali Khan, Yousaf Ali, Fasih Ahmed Khan, Muhammad Fahim, Akhtar Gul, Qazi Sami Ullah, Shams- Ul-Islam
Publikováno v:
Periodica Polytechnica Civil Engineering.
This paper presents an experimental study on the flexural behavior of composite Reinforced Concrete (RC) beams having a monolithic Engineered Cementitious Composites (ECC) layer at the tension face. Due to the brittle nature of normal concrete, clear
Autor:
Syed Azmat Ali Shah, Bora Gencturk, Muhammad Javed, Khan Shahzada, Zawar Hussain, Qazi Sami Ullah
Publikováno v:
Journal of Earthquake Engineering. 26:5592-5616
In this paper, the influence of brick masonry infill walls on the seismic performance of reinforced concrete (RC) frames is investigated. The presence and the location of a door opening are conside...
Publikováno v:
International Journal of Engineering. 6:224-227
Autor:
Sajjad Wali Khan, Khan Shahzada, Muhammad Alam, Muhammad Fahim, Qazi Sami Ullah, Saeed Zaman, Wajid Khan
Publikováno v:
NED University Journal of Research.
The response of a helical strand is difficult to model theoretically, as it involves lengthy mathematical formulations. It is highly desired by the practicing engineers to have a simple and reliable method for the prediction of bending stiffness of m
Autor:
Shah, Syed Azmat Ali, Shahzada, Khan, Gencturk, Bora, Ullah, Qazi Sami, Hussain, Zawar, Javed, Muhammad
Publikováno v:
Journal of Earthquake Engineering; Aug2022, Vol. 26 Issue 11, p5592-5616, 25p
Autor:
Obeida El Jundi, Alaa Maarouf, Kassem Ghorayeb, Arwa Ahmed Mawlod, Qazi Sami, Robert Merrill, Hussein Mustapha, Nour El Droubi
Publikováno v:
Journal of Petroleum Science and Engineering. 208:109658
Building machine learning (ML) models based on pressure-volume-temperature (PVT) data is of paramount importance to capture trends and predict fluid behavior in a very heterogeneous and highly nonlinear thermodynamic system. PVT samples stored in an