Opinion weight criteria method (OWCM): a new method for weighting criteria with zero inconsistency

ADA Mandil, MM Salih, YR Muhsen - IEEE access, 2024 - ieeexplore.ieee.org
Determining criteria weights is a frequent issue in multi-criteria decision-making (MCDM)
techniques. The weight given to various criteria can have a significant impact on a decision's …

Evaluation of the routing algorithms for NoC-based MPSoC: a fuzzy multi-criteria decision-making approach

YR Muhsen, NA Husin, MB Zolkepli, N Manshor… - IEEE …, 2023 - ieeexplore.ieee.org
Routing algorithms play a crucial role in the performance of Network-on-Chip (NoC)-based
Multi-Processor Systems-on-Chip (MPSoC). However, the selection of appropriate and …

[PDF][PDF] Routing Techniques in network-on-chip based multiprocessor-system-on-chip for IOT: a systematic review

NA Husin, MB Zolkepli, N Manshor… - Iraqi Journal For …, 2024 - iasj.net
Routing techniques (RTs) play a critical role in modern computing systems that use network-
onchip (NoC) communication infrastructure within multiprocessor system-on-chip (MPSoC) …

Benchmarking methodology of banks based on financial sustainability using CRITIC and RAFSI techniques

J Ali, KN Hussain, A Alnoor, YR Muhsen… - … in Management and …, 2024 - dmame-journal.org
This study aims to determine the influence of financial risks on the financial sustainability of
Iraq banks, in contrast considering the moderator role of financial expertise and the risk of …

Artificial intelligence and environmental, social and governance: a bibliometric analysis review

MY Alhasnawi, SM Alshdaifat, NHA Aziz… - … on Explainable Artificial …, 2024 - Springer
Studies on sustainability have been given more attention in recent years. Although there is
an increasing body of literature on sustainability, there has been little bibliometric analysis …

Symmetric and asymmetric modeling to boost customers' trustworthiness in livestreaming commerce

XY Chew, A Alnoor, KW Khaw, AM Sadaa… - Current …, 2024 - Springer
Livestreaming commerce research has grown amazingly and gained tremendous attention;
however, a comprehensive model that explains and reveals customers' trustworthiness in …

Modelling Intelligent Agriculture Decision Support Tools to Boost Sustainable Digitalization: Evidence from MCDM Methods

YR Muhsen, AAJ Al-hchaimi - … on Explainable Artificial Intelligence in the …, 2024 - Springer
Intelligent agriculture decision support tools (IADSTs) are essential tools that help farmers
manage their farms under sustainable conditions. However, the assessment of IADSTs is …

Explainable Machine Learning for Real-Time Payment Fraud Detection: Building Trustworthy Models to Protect Financial Transactions

AAJ Al-hchaimi, MF Alomari, YR Muhsen… - … on Explainable Artificial …, 2024 - Springer
In this study, we introduce an advanced machine learning model integrated with explainable
AI techniques to enhance the detection of payment fraud in real-time scenarios within the …

Artificial Intelligence and Trends Using in Sustainability Audit: A Bibliometric Analysis

HH Flayyih, SA Shamukh, HA Jabbar… - … on Explainable Artificial …, 2024 - Springer
The purpose of this study is to give an overview of the evolution of auditing and Artificial
Intelligence (AI) research posted in the Scopus database, with the goal of tracking the …

Advancing Sustainable Learning by Boosting Student Self-regulated Learning and Feedback Through AI-Driven Personalized in EFL Education

M Muthmainnah, L Cardoso, YAMR Alsbbagh… - … on Explainable Artificial …, 2024 - Springer
This quantitative methods study investigates the impact of AI-mediated language teaching
on English as a Foreign Language (EFL) students' capacity to regulate their own learning as …