Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Md. Shahid Iqbal"'
Autor:
Sajjad Karim, Md Shahid Iqbal, Fadwa Aljoud, Najla Ali Alburae, Zoya Nisar, Nofe Alganmi, Haneen Banjar, Zeenat Mirza
Publikováno v:
Journal of King Saud University: Science, Vol 36, Iss 5, Pp 103161- (2024)
Background: Genetic alterations in the perilipin (PLIN) family genes (PLIN1 to PLIN5) were infrequent in breast cancer (BC) where enhanced levels of PLIN1, PLIN3-5 were observed in the luminal A and luminal B subgroups, whereas increased PLIN2 expres
Externí odkaz:
https://doaj.org/article/46b53bf3e8ca4b499c7072c928c56321
Autor:
Sajjad Karim, Md Shahid Iqbal, Nesar Ahmad, Md Shahid Ansari, Zeenat Mirza, Adnan Merdad, Saddig D. Jastaniah, Sudhir Kumar
Publikováno v:
Journal of King Saud University: Science, Vol 35, Iss 1, Pp 102447- (2023)
Objective: Breast Cancer (BC) is one of the deadliest diseases in women, causing thousands of deaths annually despite the advent of high-throughput genomic platforms in the recent past. Microarray-based gene expression profiling with different statis
Externí odkaz:
https://doaj.org/article/c90896c2167e4d5fb46ff4661012892f
Publikováno v:
European Journal of Medical and Health Sciences. 5:74-80
Since the globe has faced extreme difficulties with COVID-19, Artificial Intelligence appeared to help to cope with this epidemic in an innumerable number of ways. Motivated by this, in this article, a robust prediction model called COVID-SDL has bee
Publikováno v:
Vegetos. 36:249-258
Autor:
Karim, Zeenat Mirza, Md Shahid Ansari, Md Shahid Iqbal, Nesar Ahmad, Nofe Alganmi, Haneen Banjar, Mohammed H. Al-Qahtani, Sajjad
Publikováno v:
Cancers; Volume 15; Issue 12; Pages: 3237
Background: Breast cancer (BC) is one of the most common female cancers. Clinical and histopathological information is collectively used for diagnosis, but is often not precise. We applied machine learning (ML) methods to identify the valuable gene s
Publikováno v:
European Journal of Engineering and Technology Research. 7:14-20
In this paper, an Effective Electrical Load Forecasting (EELF) model has been introduced based on Feed-Forward Neural Network (FFNN) which utilizes the constructive method during training. The key aspect of this model is to automate the FFNN architec
Publikováno v:
European Journal of Engineering and Technology Research. 7:99-111
This paper proposes a Solar Radiation Prediction Model employing Ant Colony Optimization (ACO) and Artificial Neural Network (ANN), named as SRPM. SRPM aims to incorporate the Feature Selection (FS) technique in the ANN training with the guidance of
Autor:
Md. Janibul Alam Soeb, Md. Shahid Iqbal, Md. Abu Naser Mojumder, Muhammad Rashed Al Mamun, A. S. M. Shahjalal Atik, Md. Fahad Jubayer
Publikováno v:
European Journal of Engineering and Technology Research. 6:133-139
The demand for electrical power is rapidly increasing due to the rise of industries in developing countries. Power generation stations are having troubles to strike a balance between demand and generation. In this situation, it is urged that appropri
Autor:
Md. Shahid Iqbal
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 9:2111-2122
Structural design and analysis produces the capability of resisting all the applied loads without failure during its intended life. Lateral loads mainly due to earthquake govern the design of high-rise buildings. The interior structural system or ext
Publikováno v:
2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE).