Zobrazeno 1 - 10
of 493
pro vyhledávání: '"Usama Muhammad"'
Autor:
Usama Muhammad Kathia, Azfar Ali, Ammar Tariq Alvi, Ali Waqar Chaudhry, Hamid Elahi, Khizar Hayat Gondal
Publikováno v:
Journal of the Pakistan Medical Association, Vol 73, Iss 8 (2023)
The Schwannoma is a benign growth of the nerve sheath cells most commonly seen in the vestibulocochlear nerve. Its prevalence in the adrenal gland is 1-3%. Here we discuss a case that presented as an incidentaloma of the right adrenal gland in a youn
Externí odkaz:
https://doaj.org/article/aa96108882b54df79875e2220ccbab76
Publikováno v:
Nanotechnology Reviews, Vol 11, Iss 1, Pp 2575-2583 (2022)
The bactericide is one of the major objective consequences related to healthcare in the world. Natural enzymes have been broadly utilized in various applications such as biomedical areas due to their broad catalytic activities and substrate particula
Externí odkaz:
https://doaj.org/article/278b4b7be0e748f7ad74c98dce81b96d
Autor:
Sinha, Sankalp, Khan, Mohammad Sadil, Usama, Muhammad, Sam, Shino, Stricker, Didier, Ali, Sk Aziz, Afzal, Muhammad Zeshan
Generating high-fidelity 3D content from text prompts remains a significant challenge in computer vision due to the limited size, diversity, and annotation depth of the existing datasets. To address this, we introduce MARVEL-40M+, an extensive datase
Externí odkaz:
http://arxiv.org/abs/2411.17945
Autor:
Ahmad, Muhammad, Butt, Muhammad Hassaan Farooq, Khan, Adil Mehmood, Mazzara, Manuel, Distefano, Salvatore, Usama, Muhammad, Roy, Swalpa Kumar, Chanussot, Jocelyn, Hong, Danfeng
Recent advancements in transformers, specifically self-attention mechanisms, have significantly improved hyperspectral image (HSI) classification. However, these models often suffer from inefficiencies, as their computational complexity scales quadra
Externí odkaz:
http://arxiv.org/abs/2408.01372
Hyperspectral Imaging (HSI) has proven to be a powerful tool for capturing detailed spectral and spatial information across diverse applications. Despite the advancements in Deep Learning (DL) and Transformer architectures for HSI classification, cha
Externí odkaz:
http://arxiv.org/abs/2408.01231
Autor:
Ahmad, Muhammad, Butt, Muhammad Hassaan Farooq, Usama, Muhammad, Altuwaijri, Hamad Ahmed, Mazzara, Manuel, Distefano, Salvatore
Spatial-Spectral Mamba (SSM) improves computational efficiency and captures long-range dependencies, addressing Transformer limitations. However, traditional Mamba models overlook rich spectral information in HSIs and struggle with high dimensionalit
Externí odkaz:
http://arxiv.org/abs/2408.01224
Publikováno v:
Journal of the Pakistan Medical Association, Vol 71, Iss 6 (2021)
Abstract Occupational trauma in carpentry is common in our community due to lack of awareness on occupation safety and poor availability and adherence towards protective equipment. Here is an unusual case of a young carpenter who presented in ortho
Externí odkaz:
https://doaj.org/article/81be6239426b4aef83e8f5fd8e616ac7
Autor:
Muhammad Umer Nadeem, Abdulnoor A. J. Ghanim, Muhammad Naveed Anjum, Donghui Shangguan, Ghulam Rasool, Muhammad Irfan, Usama Muhammad Niazi, Sharjeel Hassan
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4680 (2022)
The validity of two reanalysis (ERA5 and MEERA2) and seven satellite-based (CHIRPS, IMERG, PERSIANN-CCS, PERSIANN-CDR, PERSIANN-PDIR, PERSIANN, and TRMM) precipitation products was assessed in relation to the observations of in situ weather stations
Externí odkaz:
https://doaj.org/article/42577e6fc3e44d97b4672d5d945792a9
Autor:
Khan, Shahroz, Masood, Zahid, Usama, Muhammad, Kostas, Konstantinos, Kaklis, Panagiotis, Wei, Chen
In this work, we propose a set of physics-informed geometric operators (GOs) to enrich the geometric data provided for training surrogate/discriminative models, dimension reduction, and generative models, typically employed for performance prediction
Externí odkaz:
http://arxiv.org/abs/2407.07611
This paper proposed a straightforward and efficient current control solution for induction machines employing deep symbolic regression (DSR). The proposed DSR-based control design offers a simple yet highly effective approach by creating an optimal c
Externí odkaz:
http://arxiv.org/abs/2405.08277