On Equivalent Circuit Model-Based State-of-Charge Estimation for Lithium-Ion Batteries in Electric Vehicles by Fatma Ahmed (11084787)

“…This paper presents a comprehensive study on the SoC estimation of LIBs using advanced model-based methods. The practical implications of this research are significant, as they provide a reliable and efficient approach to SoC estimation, enhancing the performance and lifespan of LIBs in real-world applications, particularly EVs. …”

SoccerNet: A Gated Recurrent Unit-based model to predict soccer match winners by Jassim AlMulla (16726296)

“…To the best of our knowledge, the proposed model is the first DL-based model in predicting match winners from any professional football leagues in the Middle East and North Africa (MENA) region. …”

Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling by Abi-Shdid, C.

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Metabolomics-based prediction model for diabetes: A comprehensive analysis of biomarkers and machine learning approaches by Doaa Farid (22565300)

“…Targeted metabolites were selected based on correlation strength with diabetes status. …”

Investigations on Entrepreneurship Needs, Challenges, and Models for Countries in Transition to Sustainable Development from Resource-Based Economy—Qatar as a Case by Mohammad I. Al-Housani (19170967)

Environment, Education, and Personality Innovation Based Index by Al Qawasmi, Mahmoud Ghandi Mahmoud

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A Meta-Analysis to Gauge the Effectiveness of STEM Informal Project-Based Learning: Investigating the Potential Moderator Variables by Malavika Santhosh (17714346)

“…However, the participants’ educational level and study location (country) did not emerge as being significant. This study contributes to the bulk of literature that can help academicians to design, develop and implement effective STEM-based informal PjBL models, with special consideration for influential variables (teaching method, assessment method, grade, location, course duration, group size, and subject area).…”

An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health by Belqes Alsadi (18695031)

“…</p><h3>Results</h3><p dir="ltr">Ensemble based models XGboost and RF achieved over 84% accuracy for detecting diabetes. …”

Suppression of Unstable Flow by Using Rough Surfaces at Small Mass Flow Rates in a Radial Diffuser by Salem, Hayder

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PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks by Rawan AlSaad (14159019)

The Impact Of Teachers’ Differentiated Initiations And Feedback On Students’ Responses: A Model Based On Audience Design And Bloom’s Taxonomy Of Cognitive Domains by ZAGHAB, MAI IDREES

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Photobiomodulation Suppresses Alpha-Synuclein-Induced Toxicity in an AAV-Based Rat Genetic Model of Parkinson’s Disease by Abid Oueslati (816135)

“…In the present study, we report that chronic PMB treatment mitigates dopaminergic loss induced by unilateral overexpression of human α-synuclein (α-syn) in the substantia nigra of an AAV-based rat genetic model of Parkinson’s disease (PD). …”

A novel spherical fuzzy-based decision model for assessing data management maturity in governmental institutions by Muna Salem AlFadhli (22303876)

“…For methodology, the study pioneers the hybridization of spherical fuzzy sets (SFSs) built on the criteria importance through intercriteria correlation (CRITIC) and the evaluation based on distance from average solution (EDAS) model. …”

Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment by Ikhlas Ghiat (16932564)

“…The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …”

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)