[HTML][HTML] Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking …

OS Albahri, AA Zaidan, AS Albahri, BB Zaidan… - Journal of infection and …, 2020 - Elsevier
This study presents a systematic review of artificial intelligence (AI) techniques used in the
detection and classification of coronavirus disease 2019 (COVID-19) medical images in …

Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review

MA Alsalem, AH Alamoodi, OS Albahri… - Artificial Intelligence …, 2022 - Springer
The influence of the ongoing COVID-19 pandemic that is being felt in all spheres of our lives
and has a remarkable effect on global health care delivery occurs amongst the ongoing …

[HTML][HTML] A comprehensive evaluation approach for efficient countermeasure techniques against timing side-channel attack on MPSoC-based IoT using multi-criteria …

AAJ Al-Hchaimi, NB Sulaiman, MAB Mustafa… - Egyptian Informatics …, 2023 - Elsevier
Context Timing side-channel attack countermeasure techniques (TSCA-CTs) evaluation is a
multi-criteria decision-making (MCDM) problem based on different MPSoCs of IoT platform …

Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy–TOPSIS methods

AS Albahri, RA Hamid, OS Albahri… - Artificial intelligence in …, 2021 - Elsevier
Context and background Corona virus (COVID) has rapidly gained a foothold and caused a
global pandemic. Particularists try their best to tackle this global crisis. New challenges …

[HTML][HTML] Novel dynamic fuzzy decision-making framework for COVID-19 vaccine dose recipients

OS Albahri, AA Zaidan, AS Albahri, HA Alsattar… - Journal of advanced …, 2022 - Elsevier
Introduction The vaccine distribution for the COVID-19 is a multicriteria decision-making
(MCDM) problem based on three issues, namely, identification of different distribution …

Based on the multi-assessment model: towards a new context of combining the artificial neural network and structural equation modelling: a review

AS Albahri, A Alnoor, AA Zaidan, OS Albahri… - Chaos, Solitons & …, 2021 - Elsevier
Theoretical models have become increasingly complex, but the dual-phase structural
equation modelling (SEM) and artificial neural network analysis can be used by scholars to …

Determining importance of many-objective optimisation competitive algorithms evaluation criteria based on a novel fuzzy-weighted zero-inconsistency method

RT Mohammed, AA Zaidan, R Yaakob… - … Journal of Information …, 2022 - World Scientific
Along with the developments of numerous MaOO algorithms in the last decades, comparing
the performance of MaOO algorithms with one another is also highly needed. Many studies …

[HTML][HTML] Based on T-spherical fuzzy environment: a combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients

MA Alsalem, HA Alsattar, AS Albahri… - Journal of infection and …, 2021 - Elsevier
The problem complexity of multi-criteria decision-making (MCDM) has been raised in the
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …

Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: a distribution case study of …

AS Albahri, OS Albahri, AA Zaidan, A Alnoor… - Computer Standards & …, 2022 - Elsevier
Owing to the limitations of Pythagorean fuzzy and intuitionistic fuzzy sets, scientists have
developed a distinct and successive fuzzy set called the q-rung orthopair fuzzy set (q …

Multi-biological laboratory examination framework for the prioritization of patients with COVID-19 based on integrated AHP and group VIKOR methods

AS Albahri, JR Al-Obaidi, AA Zaidan… - … Journal of Information …, 2020 - World Scientific
Coronavirus disease (COVID-19) pandemic has a tremendous effect on people's lives
worldwide, and the number of infected patients increases daily. The healthcare sector is …