Nomograph derivation for underwater sour gas releases in shallow waters based on computational fluid dynamics simulations by Wafa Imran (22046537)

Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... by Mohamed, AlShuweihi

“…This research motivated by the unprecedented increase in diabetes and specifically Type 2 Diabetes Miletus (T2DM), proposes two significant contributions. The first is a comprehensive ML framework for the construction of diagnostic binary classification high accuracy models to predict T2DM in the United Arab Emirates based on STEPS style National Health Survey. …”
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“Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms” by Ahmad Samed Al-Adwan (12048279)

“…A media for immersive learning, metaverse could set future educational trends and lead to significant reform in education. Although the metaverse has the potential to improve the effectiveness of online learning experiences, metaverse-based educational implementations are still in their infancy. …”

Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study by El-Ferik, S

“…Results reveals that the physically based model succeed to capture the effect of the outdoor weather conditions. …”
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Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study by El-Ferik, S

“…Results reveals that the physically based model succeed to capture the effect of the outdoor weather conditions. …”
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Modelling, analysis, and implementation of a switched‐inductor based DC/DC converter with reduced switch current stress by Shima Sadaf (16875999)

QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries by Md Al Amin (17808299)

“…While previous studies often relied on single techniques, this research proposes a novel AHP integrated QFD-based MILP optimization model. This innovative approach empowers Bangladeshi RMG industries to make data-driven decisions for prioritizing <u>sustainability</u> challenges and selecting cost-effective mitigation strategies to promote the integration of sustainability initiatives within the sector. …”

Mathematical Model-Based Optimization of Continuous Flow Photobioreactor Operating at Steady State Using MATLAB Optimization Function by Ibrahim M. Abu-Reesh (4501213)

“…The <i>fmincon</i> optimization results agree well with the literature that used different optimization methods. The model-based optimization predicts the best performance of PBR without conducting experiments. …”

Views and Concerns of Vocational Educators about the Adoption of the Reformed Vocational Curriculum: A Case Study Using Concerns-Based Adoption Model by HASSAN, SHENIN PARACKAL

“…Governance and structural reforms in the VET sector has been perceived as a means to address UAE’s alarmingly higher skills-gap challenges, enhance national workforce competencies, and establish training systems to meet 21st century skills demands. One of the significant reforms within the VET sector is the introduction of the new vocational curriculum model, that forms the basis of vocational qualifications (Q) based on the National Occupational Skills Standards (NOSS), collectively referred to as the Q+NOSS. …”
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A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications by Ameni Boumaiza (19160734)

“…The ensuing simulation environment provides a decision-support platform for designing and implementing decentralized trading systems based on blockchain technology, and high-performance computing can enhance model performance for scalable energy blockchain analysis in Qatar and beyond.…”

The effectiveness of physical models in teaching anatomy by Yammine, Kaissar

“…The aim of this meta-analysis is to quantitatively assess the effectiveness of such models based on comparative studies. Eight studies (7 randomized trials; 1 quasi-experimental) including 16 comparison arms and 820 learners met the inclusion criteria. …”
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A Features-Based Privacy Preserving Assessment Model for Authentication of Internet of Medical Things (IoMT) Devices in Healthcare by Habib Ullah Khan (12024579)

“…It completes this in two steps: in the first step, the analytic hierarchy process (AHP) method is applied for assigning criteria weights; and in the second step, the technique for order preference by similarity to ideal solution (TOPSIS) approach selects the best authentication solution for IoHT devices based upon identified authentication features. This is the first attempt to present a features-based authentication model for selecting the improved authentication solution employed in IoHT devices.…”

Identification And Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study by El-Ferik, S

“…The results indicate that the physically based model succeeded to capture the effects of the outdoor conditions. …”
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Electric Grid Resilience Enhancement During Natural Disasters: An Optimization-Based UAV Inspection and Dynamic Crew Dispatch Model by Serag, Yousef

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A Novel Transformer-Based Approach for Adult’s Facial Emotion Recognition by Uzma Nawaz (21980708)

“…An ablation study further validates the contribution of each model component, and comparisons with CNN-based and transformer-based approaches confirm the effectiveness of the model. …”

Social Commerce Trust Factors and Users' Perspectives: A Study in UAE Based on Trust-Extended Technology Acceptance Model by Abdulrazzaq, Reem

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Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model by Raseena M. Haris (17773470)

Security Supply Chain Using UAVs: Validation and Development of a UAV-Based Model for Qatar’s Mega Sporting Events by Khalifa AL-Dosari (17931434)

“…This study proposed and developed a UAV-based SCM model to provide security for Qatar’s mega sporting events, which comprised five factors: traceability, security and privacy, trust, acceptability, and preparedness. …”

Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems by Majdi Mansouri (16869885)

“…The developed techniques are based on Support Vector Machine (SVM) model to improve the diagnosis of WEC systems. …”

Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique by J. Jayapradha (21323774)

“…An efficient Cluster Based anonymity model has been proposed to anonymizes the 1:1 dataset with a single sensitive attribute through the introduction of a concept named “Semi-sensitive attribute.” …”