Simulation Based Optimization of Logistics Decisions Under Horizontal Collaboration by Hammoud, Shaza Mouhib

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Unleashing the pandemic volatility: A glimpse into the stock market performance of developed economies during COVID-19 by Umar Nawaz Kayani (17131781)

“…In addition to this, it can be noted that compared to before COVID-19, the stock markets showed negative returns, and increased volatility during the COVID-19. Hence, based on these findings, this study provides significant insights for global stock market investors and economic policymakers regarding financial portfolio construction particularly during crises times.…”

Exploiting the internal resonance in shunted circuit-based vibration suppression by Al-Souqi, Khaled

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Consumer Behaviour and Digital Health Innovation: The Case of AI Symptom Checkers by Almaazmi, Sara

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Pre-Service Teachers’ Perspectives on Their Preparedness to Use Technology in Classrooms in the United Arab Emirates: A Qualitative Approach by Mohebi, Laila

“…In addition, the study is based on the Technological Pedagogical and Content Knowledge (TPACK) model as a framework to assess and reflect on the technology integration skills of pre-service teachers. …”
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A frontier‐based managerial approach for relative sustainability performance assessment of the world's airports by Murat Kucukvar (11190248)

“…As the sustainability goals and objectives and due to its multi-dimension aspects that are needed to be decided of and subsequently improved, the decision has been taken, and the parameters have been selected due to its significance in this field. This research presents a managerial approach combining the optimization-based frontier approach with the Global Report Initiative's comprehensive sustainability database for selected 30 major international airports based on data availability. …”

Group Relative Deprivation and Violent Radicalism: Moving Toward a Comprehensive Model by Serge Guimond (6204587)

Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? by Ahmed Soliman (4591621)

“…In this paper, we evaluated the performance of four types of deep models for stroke segmentation: 1) a pure Transformer-based architecture (DAE-Former), 2) two advanced CNN-based models (LKA and DLKA) with attention mechanisms, 3) a hybrid model that incorporates CNNs with Transformers (FCT), and 4) the well-known self-adaptive nnU-Net framework. …”

Two Analytical Models (with Infinite Buffer) for Evaluating Performance of Gigabit Ethernet Hosts by Salah, Khaled

“…The first model is based on Markov processes and queueing theory, while the second, which is more accurate but more complex, is a pure Markov process. …”
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Two Analytical Models for Evaluating Performance of Gigabit Ethernet Hosts with Finite Buffer by Salah, Khaled

“…The first model is based on Markov processes and queueing theory, while the second, which is more accurate but more complex, is a pure Markov process. …”
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Machine Learning Based Palm Farming: Harvesting and Disease Identification by Khan, Sana Z.

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State-of-the-art review of occupant behavior modeling and implementation in building performance simulation by Omar Ahmed (530933)

“…Common quantitative OB modeling approaches in BPS i.e., Stochastic, Statistical, Data mining, and Agent-based methods, are elucidated. …”

Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning by Far, Reza Davoodi

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The Effect of Training Effectiveness, Attitude, Commitment, and Employee Trust on Food Safety Behaviour in Home-Based Businesses by AL MUALLA, SHATHA ALI

“…Food safety behaviour in the United Arab Emirates (UAE) has received much academic and practitioner attention because of the significance of home-based businesses (HBBs) in food safety management. …”
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A numerical model for the solution of thermal elastohydrodynamic lubrication in coated circular contacts by Habchi, Wassim

“…The model is based on a full-system finite element resolution of the elastohydrodynamic and heat transfer equations. …”
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Modeling of permeability impairment dynamics in porous media: A machine learning approach by Ahmed, Elrahmani

“…The MLM was established by connecting three Machine Learning Sub-Models (MLSMs). The first is a throat-classification MLSM; which classifies the throats based on their location and size to identify clogged throats. …”
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Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills by Abbas, Tariq

“…Additionally, the mean power spectral density of the EMG signal decreased notably post-training. …”
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Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization by Rusab Sarmun (17632269)

“…Our WBF-based approach combining YOLOv8m and FRCNN-ResNet101 achieves a mean average precision (mAP) score of 86.4% at the IoU threshold of 0.5 on the DFUC2020 dataset, significantly outperforming the former benchmark by 12.4%. …”

Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants by Mohannad N. Khandakji (13885434)

“…We trained the model on 80% of the expert reviewed variants by the Evidence-Based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) consortium and tested its performance on the remaining 20%, as well as on an independent set of variants of uncertain significance with experimentally determined functional scores.…”

A Comprehensive Review on Membrane Fouling: Mathematical Modelling, Prediction, Diagnosis, and Mitigation by AlSawaftah, Nour Majdi

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