An efficient second order ImEx scheme for the shallow water model in low Froude regime by Lteif, Ralph

“…This paper presents the development and analysis of a second order numerical method tailored for shallow water flows in regimes characterized by low Froude numbers. The focus is on modeling oceanic and coastal dynamics across different scales, with particular attention on the variation of the Froude number from 1 near the shoreline to significantly lower values offshore. …”
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Particle size impact on pyrolysis of multi-biomass: a solid-state reaction modeling study by Sabah Mariyam (14150859)

“…Thermogravimetric analysis of four different sizes of DS, SCG, and CM (range 1 mm to 125 μm) and a mixed sample (for each feed) was conducted at a heating rate of 10K/min from room temperature to 1173.15 K at inert conditions and employed model-based Coats–Redfern equations to understand the kinetic and thermodynamic parameters of the pyrolysis process. …”

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

“…Then we analyzed players’ performance at different positions on the field at different stages of the match. …”

Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment by Farhat Mahmood (15468854)

“…First, an analytical model based on mass and energy balance and a data-driven model based on an artificial neural network is developed, and their prediction performance is compared. …”

Porphyrin distribution after topical aminolevulinic acid in a novel porcine model of sebaceous skin by Tannous, Zeina

“…We studied porphyrin accumulation after topical application of ALA in vivo, and also describe the porcine ear as a new animal model to study adnexal glands. Study Design/Materials and Methods The microanatomy of anterior ear skin of swine was measured. …”
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Fourier-Transform Infrared Imaging Spectroscopy and Laser Ablation -ICPMS New Vistas for Biochemical Analyses of Ischemic Stroke in Rat Brain by Mohamed H. M. Ali (5768066)

Analysis of Partial Discharges in Oil-Impregnated Transformer Paper Insulation and PET-G Insulation by Sayed Mohammad Kameli (22467040)

“…The peak electric field (EF) and aggregate energy in the FEA model are used in conjunction with laboratory measurements of the apparent discharge magnitude, for detailed analysis of Polyethylene Terephthalate Glycol (PET-G)-based cylindrical voids with different heights. …”

Comparative Study of Deep Learning Models for Unimodal & Multimodal Disaster Data for Effective Disaster Management by MOHAMED, DENA AHMED

“…An extensive comparison between unimodal text-only, unimodal image-only and multimodal deep learning models across three different representative disaster datasets (CrisisMMD, CrisisNLP, and CrisisLex26) was done. …”
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Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling by Abi-Shdid, C.

“…The main advantages of the approach compared to conventional simulation methods are (1) simplified model construction for the end-user; (2) simplified model reconfiguration; (3) significantly faster simulation runs (orders of magnitude faster for two- and three-dimensional models); and (4) potentially more accurate results. …”
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Solutions for the UAE Architecture, Engineering, and Construction (AEC) industry to mandate Building Information Modeling (BIM) by Omar, Hany Salah

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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. …”

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

“…We observed that bone area, bone mineral content, and bone mineral density were slightly lower in the Diabetes group across almost all body parts, but the difference against the control group was not statistically significant except in T12, troch and trunk area. …”

Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements by Mubarak A. Bidmos (14158851)

“…In conclusion, the models proposed in this study from measurements of the patella of different population groups in South Africa are useful resent with reasonably high average accuracies.…”

Investigating students' acceptance of E-learning system in Higher Educational Environments in the UAE: Applying the Extended Technology Acceptance Model (TAM) by SALLOUM, SAID ABDELRAHIM SAID

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Urtica dioica extract and its impact on blood lipids, glycemia & inflammation in the rat model. (c2005) by Baroudy, Karmen George

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Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset by Muhammad Usama Tanveer (22225360)

“…Ensemble learning by combining multiple machine learning models offers a significant advantage in reducing computational costs compared to deep learning models, making it a practical solution for real-time applications. …”

MCDFN: supply chain demand forecasting via an explainable multi-channel data fusion network model by Md Abrar Jahin (20108252)

“…Theil’s U statistic of 0.1181 ( <i>U</i><1 <i>U</i> < 1 ) of MCDFN indicates its superiority over the naive forecasting approach, and a 10-fold cross-validated statistical paired t-test with a <i>p</i>-value of 5% indicated no significant difference between MCDFN’s predictions and actual values. …”

THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis by Mohammad Javad Saber (4334227)

“…Thus, developing accurate radio channel models that address these challenges is critical to ensure reliable communication. …”

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

“…<h3>Background</h3><p dir="ltr">Early identification of pregnant women at risk for preterm birth (PTB), a major cause of infant mortality and morbidity, has a significant potential to improve prenatal care. However, we lack effective predictive models which can accurately forecast PTB and complement these predictions with appropriate interpretations for clinicians. …”

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

“…Moreover, the time series prediction with different time steps improved the XGBoost model, achieving an R² of up to 99.0%. …”