Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Qasem Al-Tashi"'
Autor:
Muhammad Zubair, Helmi B. Md Rais, Fasee Ullah, Qasem Al-Tashi, Muhammad Faheem, Arfat Ahmad Khan
Publikováno v:
IEEE Access, Vol 12, Pp 79025-79050 (2024)
Computed Tomography (CT) is a non-invasive imaging modality used to detect abnormalities in the human body with high precision. However, the electromagnetic radiation emitted during CT scans poses health risks, potentially leading to the development
Externí odkaz:
https://doaj.org/article/e40b31f7597345f0a8816047151f1899
Autor:
Rizwan Qureshi, Muhammad Irfan, Hazrat Ali, Arshad Khan, Aditya Shekhar Nittala, Shawkat Ali, Abbas Shah, Taimoor Muzaffar Gondal, Ferhat Sadak, Zubair Shah, Muhammad Usman Hadi, Sheheryar Khan, Qasem Al-Tashi, Jia Wu, Amine Bermak, Tanvir Alam
Publikováno v:
IEEE Access, Vol 11, Pp 61600-61620 (2023)
Data generated from sources such as wearable sensors, medical imaging, personal health records, and public health organizations have resulted in a massive information increase in the medical sciences over the last decade. Advances in computational ha
Externí odkaz:
https://doaj.org/article/87c19e7fb27a4492a8ed77bdb38f1fe7
Autor:
Nima Khodadadi, Ehsan Khodadadi, Qasem Al-Tashi, El-Sayed M. El-Kenawy, Laith Abualigah, Said Jadid Abdulkadir, Alawi Alqushaibi, Seyedali Mirjalili
Publikováno v:
IEEE Access, Vol 11, Pp 94094-94115 (2023)
The Arithmetic Optimization Algorithm (AOA) is a recently proposed metaheuristic algorithm that has been shown to perform well in several benchmark tests. The AOA is a metaheuristic that uses the main arithmetic operators’ distribution behavior, su
Externí odkaz:
https://doaj.org/article/f0b8c0dd3f3d48918f8dc8bd486fe9c9
Autor:
Hussein Shutari, Taib Ibrahim, Nursyarizal Bin Mohd Nor, Hakim Q. A. Abdulrab, Nordin Saad, Qasem Al-Tashi
Publikováno v:
IEEE Access, Vol 11, Pp 43520-43535 (2023)
Wind power’s increasing use and its integration into the utility grid have prompted scholars to focus more on the refinement of wind power harvesting systems, injecting stable power and providing ancillary services to the utility grid. This article
Externí odkaz:
https://doaj.org/article/a4715d4b57ef4d3bad7286597d667ecc
Autor:
Maliazurina B Saad, PhD, Lingzhi Hong, MD, Muhammad Aminu, MD, Natalie I Vokes, MD, Pingjun Chen, PhD, Morteza Salehjahromi, PhD, Kang Qin, MD, Sheeba J Sujit, PhD, Xuetao Lu, PhD, Elliana Young, MS, Qasem Al-Tashi, PhD, Rizwan Qureshi, PhD, Carol C Wu, ProfMD, Brett W Carter, ProfMD, Steven H Lin, ProfMD, Percy P Lee, ProfMD, Saumil Gandhi, MD, Joe Y Chang, ProfMD, Ruijiang Li, PhD, Michael F Gensheimer, MD, Heather A Wakelee, ProfMD, Joel W Neal, MD, Hyun-Sung Lee, MD, Chao Cheng, PhD, Vamsidhar Velcheti, ProfMD, Yanyan Lou, MD, Milena Petranovic, MD, Waree Rinsurongkawong, PhD, Xiuning Le, MD, Vadeerat Rinsurongkawong, PhD, Amy Spelman, PhD, Yasir Y Elamin, MD, Marcelo V Negrao, MD, Ferdinandos Skoulidis, MD, Carl M Gay, MD, Tina Cascone, MD, Mara B Antonoff, MD, Boris Sepesi, MD, Jeff Lewis, BS, Ignacio I Wistuba, ProfMD, John D Hazle, ProfPhD, Caroline Chung, MD, David Jaffray, ProfPhD, Don L Gibbons, ProfMD, Ara Vaporciyan, ProfMD, J Jack Lee, ProfPhD, John V Heymach, ProfMD, Jianjun Zhang, MD, Jia Wu, PhD
Publikováno v:
The Lancet: Digital Health, Vol 5, Iss 7, Pp e404-e420 (2023)
Summary: Background: Only around 20–30% of patients with non-small-cell lung cancer (NCSLC) have durable benefit from immune-checkpoint inhibitors. Although tissue-based biomarkers (eg, PD-L1) are limited by suboptimal performance, tissue availabil
Externí odkaz:
https://doaj.org/article/0a63dfd25a6f4694ab5c9c636dd7ce6b
Autor:
Tareq M. Shami, Ayman A. El-Saleh, Mohammed Alswaitti, Qasem Al-Tashi, Mhd Amen Summakieh, Seyedali Mirjalili
Publikováno v:
IEEE Access, Vol 10, Pp 10031-10061 (2022)
Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms in the literature. Although the original PSO has shown good optimization performance, it still severely suffers from premature convergence. As a result, many re
Externí odkaz:
https://doaj.org/article/ff4c29b40f32419390d898eacd28559a
Autor:
Qasem Al-Tashi, Maliazurina B. Saad, Amgad Muneer, Rizwan Qureshi, Seyedali Mirjalili, Ajay Sheshadri, Xiuning Le, Natalie I. Vokes, Jianjun Zhang, Jia Wu
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 9, p 7781 (2023)
The identification of biomarkers plays a crucial role in personalized medicine, both in the clinical and research settings. However, the contrast between predictive and prognostic biomarkers can be challenging due to the overlap between the two. A pr
Externí odkaz:
https://doaj.org/article/1b120eae368645b2a30446994b656376
Publikováno v:
IEEE Access, Vol 9, Pp 31662-31677 (2021)
Despite Grey Wolf Optimizer's (GWO) superior performance in many areas, stagnation in local optima areas may still be a concern. Several significant GWO factors can be explored to enhance the performance of selection in classification, with two confl
Externí odkaz:
https://doaj.org/article/94b07a008182449186e88cac511eb29e
Autor:
Qasem Al-Tashi, Said Jadid Abdulkadir, Helmi Md Rais, Seyedali Mirjalili, Hitham Alhussian, Mohammed G. Ragab, Alawi Alqushaibi
Publikováno v:
IEEE Access, Vol 8, Pp 106247-106263 (2020)
Feature selection or dimensionality reduction can be considered as a multi-objective minimization problem with two objectives: minimizing the number of features and minimizing the error rate simultaneously. Despite being a multi-objective problem, mo
Externí odkaz:
https://doaj.org/article/c6f0408eef3b423993d68f5344b8a1b5
Publikováno v:
IEEE Access, Vol 8, Pp 125076-125096 (2020)
Feature selection has gained much consideration from scholars working in the domain of machine learning and data mining in recent years. Feature selection is a popular problem in Machine learning with the goal of finding optimal features with increas
Externí odkaz:
https://doaj.org/article/6908d1d322b44f4e977a47f73c5ee214