Zobrazeno 1 - 10
of 455
pro vyhledávání: '"Shahab, Muhammad"'
Autor:
Putri, Endah Rokhmati Merdika, Shahab, Muhammad Luthfi, Iqbal, Mohammad, Mukhlash, Imam, Hakam, Amirul, Mardianto, Lutfi, Susanto, Hadi
We propose a new method, called a deep-genetic algorithm (deep-GA), to accelerate the performance of the so-called deep-BSDE method, which is a deep learning algorithm to solve high dimensional partial differential equations through their correspondi
Externí odkaz:
http://arxiv.org/abs/2311.11558
Publikováno v:
IEEE Open Journal of the Communications Society, vol. 4, pp. 1499-1515, 2023
We consider the multi-user detection (MUD) problem in uplink grant-free non-orthogonal multiple access (NOMA), where the access point has to identify the total number and correct identity of the active Internet of Things (IoT) devices and decode thei
Externí odkaz:
http://arxiv.org/abs/2209.06392
Autor:
Javed, Muhammad Faisal1,2 (AUTHOR) arbabfaisal@cuiatd.edu.pk, Shahab, Muhammad Zubair3 (AUTHOR), Asif, Usama4 (AUTHOR), Najeh, Taoufik5 (AUTHOR) taoufik.najeh@ltu.se, Aslam, Fahid6 (AUTHOR), Ali, Mujahid7 (AUTHOR), Khan, Inamullah8 (AUTHOR)
Publikováno v:
Scientific Reports. 6/13/2024, Vol. 14 Issue 1, p1-25. 25p.
In silico design of peptide inhibitors for Dengue virus to treat Dengue virus-associated infections.
Autor:
Ajmal, Amar1 (AUTHOR), Shahab, Muhammad1,2 (AUTHOR), Waqas, Muhammad3 (AUTHOR), Zheng, Guojun2 (AUTHOR) zhenggj@mail.buct.edu.cn, Zulfat, Maryam1 (AUTHOR), Bin Jardan, Yousef A.4 (AUTHOR), Wondmie, Gezahign Fentahun5 (AUTHOR) resercherfent@gmail.com, Bourhia, Mohammed6 (AUTHOR), Ali, Ijaz7 (AUTHOR)
Publikováno v:
Scientific Reports. 6/7/2024, Vol. 14 Issue 1, p1-10. 10p.
Autor:
Salari, Ayoob, Shirvanimoghaddam, Mahyar, Shahab, Muhammad Basit, Li, Yonghui, Johnson, Sarah
This paper studies the joint channel estimation and signal detection for the uplink power-domain non-orthogonal multiple access. The proposed technique performs both detection and estimation without the need of pilot symbols by using a clustering tec
Externí odkaz:
http://arxiv.org/abs/2202.12514
Autor:
Salari, Ayoob, Shirvanimoghaddam, Mahyar, Shahab, Muhammad Basit, Arablouei, Reza, Johnson, Sarah
We propose a joint channel estimation and signal detection approach for the uplink non-orthogonal multiple access (NOMA) using unsupervised machine learning. We apply a Gaussian mixture model (GMM) to cluster the received signals, and accordingly opt
Externí odkaz:
http://arxiv.org/abs/2201.06245
Autor:
Alarfaj, Mohammed, Qureshi, Hisham Jahangir, Shahab, Muhammad Zubair, Javed, Muhammad Faisal, Arifuzzaman, Md, Gamil, Yaser
Publikováno v:
In Case Studies in Construction Materials July 2024 20
Publikováno v:
In International Journal of Biological Macromolecules May 2024 267 Part 2
Autor:
Shahab, Muhammad1 (AUTHOR), Ziyu, Peng2 (AUTHOR), Waqas, Muhammad3 (AUTHOR), Zheng, Guojun1 (AUTHOR) zhenggj@mail.buct.edu.cn, Bin Jardan, Yousef A.4 (AUTHOR), Fentahun Wondmie, Gezahign5 (AUTHOR) resercherfent@gmail.com, Bouhrhia, Mohammed6 (AUTHOR)
Publikováno v:
Scientific Reports. 3/21/2024, Vol. 14 Issue 1, p1-16. 16p.
Autor:
Shahab, Muhammad, Iqbal, Muhammad Waleed, Ahmad, Abbas, Alshabrmi, Fahad M., Wei, Dong-Qing, Khan, Abbas, Zheng, Guojun
Publikováno v:
In Computers in Biology and Medicine March 2024 170