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 …

A new extension of FDOSM based on Pythagorean fuzzy environment for evaluating and benchmarking sign language recognition systems

MS Al-Samarraay, MM Salih, MA Ahmed… - Neural Computing and …, 2022 - Springer
Many studies have recently developed real-time sign language recognition system (SLRS)-
based DataGlove wearable electronic devices for deaf and dumb to assort hand gestures as …

Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T‐spherical fuzzy …

AS Albahri, AA Zaidan, HA AlSattar… - Computational …, 2023 - Wiley Online Library
Autism spectrum disorders (ASD) are a diverse group of conditions characterized by
difficulty with social interaction and communication. ASD is expected to be a high‐risk …

Rough Fermatean fuzzy decision-based approach for modelling IDS classifiers in the federated learning of IoMT applications

OS Albahri, MS Al-Samarraay, HA AlSattar… - Neural Computing and …, 2023 - Springer
Intrusion detection systems (IDSs) are commonly employed to mitigate network security
threats in various fields, including federated learning applications within the Internet of …

Development of IoT-based mhealth framework for various cases of heart disease patients

AS Albahri, AA Zaidan, OS Albahri, BB Zaidan… - Health and …, 2021 - Springer
A newly distributed fault-tolerant mHealth framework-based Internet of things (IoT) is
proposed in this study to resolve the essential problems of healthcare service provision …

Combination of Fuzzy-Weighted Zero-Inconsistency and Fuzzy Decision by Opinion Score Methods in Pythagorean m-Polar Fuzzy Environment: A Case Study of …

OS Albahri, HA AlSattar, S Garfan… - … Journal of Information …, 2023 - World Scientific
In the fuzzy multicriteria decision-making approach, a committee of decision-makers is
usually involved in the assessment of the suitability of different alternatives based on the …

Novel roadside unit positioning framework in the context of the vehicle-to-infrastructure communication system based on AHP—Entropy for weighting and borda …

RQ Malik, AA Zaidan, BB Zaidan, KN Ramli… - … Journal of Information …, 2022 - World Scientific
The positioning of roadside units (RSUs) in a vehicle-to-infrastructure (V2I) communication
system may have an impact on network performance. Optimal RSU positioning is required to …