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

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Effects of Dunn and Dunn learning styles model on achievement and motivation. (c2013) by Daouk, Carma

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Hierarchical Fuzzy Framework for EV Supported Islanded Microgrid Frequency Stabilization by Abdul Latif (8829644)

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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Integrating technology pedagogy and content knowledge in Qatar’s preparatory and secondary schools: The perceptions and practices of STEM teachers by Ziad Said (17541819)

“…The aim is to explore K-12 science and mathematics teachers’ views and practices about implementing STEM through technological pedagogical content knowledge (TPACK) model in Qatar and identify their challenges. The objective is to develop a TPD program using project-based learning pedagogical intervention to support K-12 science and mathematics teachers and to train them on how to implement PBL in their teaching practices. 245 STEM teachers from 16 preparatory and secondary schools, representing an equal number of males and females, responded to a STEM-TPACK survey on perceptions of and practices in teaching STEM subjects. …”

Recurring Multi-layer Moving Window Approach to Forecast Day-ahead and Week-ahead Load Demand Considering Weather Conditions by Dao H. Vu (19517236)

“…The multi-layer moving window approach allows the layers to adjust their size to accommodate the weather variables based on their significance, which creates more flexibility and adaptability thereby improving the overall performance of the proposed approach. …”

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. ConclusionThis study presents a structured approach for hypospadias training and highlights the effectiveness of wearable sensor technology for objective skill assessment. …”
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Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills by Tariq Abbas (368053)

“…Additionally, the mean power spectral density of the EMG signal decreased notably post-training. </p><h3>Conclusion</h3><p dir="ltr">This study presents a structured approach for hypospadias training and highlights the effectiveness of wearable sensor technology for objective skill assessment. …”

Traffic Transformer: Transformer-based framework for temporal traffic accident prediction by Mansoor G. Al-Thani (19237204)

“…Existing neural network-based models generally suffer from a limited field of perception and poor long-term dependency capturing abilities, which severely restrict their performance. …”

Analyzing the efficiency of intellectual capital: anewapproach based on DEA-MPI technology by Mohamed Habib, Ahmed

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Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular Networks by Abdul Qadeer Khan (22502168)

“…Results on cell association, load balancing, and EE of LBUs have been compared with conventional association schemes. The proposed battery based cell association models perform well in favor of LBUs and clearly show the significance of the proposed approach.…”

A Blockchain-Based Scalability Solution with Microgrids Peer-to-Peer Trade by Ameni Boumaiza (19160734)

“…The results of this study demonstrate that the suggested technique outperforms base-layer models in terms of scalability while still maintaining the essential elements of security and decentralization. …”

Cloud-based deep learning-assisted system for diagnosis of sports injuries by Xiaoe Wu (17541951)

Assessing the eco-environmental aspects of fossil fuels-based units substitution of Point Aconi thermal power plant by green-based energies: a case study of Canada by Nima Amiri (21842687)

“…This paper presents a model that replaces fossil fuels used in a proposed thermal power plant in Point Aconi, Nova Scotia, with photovoltaic and wind turbine units based on the region’s climate conditions. …”

Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning by Zeinab, Samira Jihad

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A Decision Modelling Approach for Perceived and Engaged Immersive Visual Interactive Applications on the Metaverse by IBRAHIM, SAMAR

“…The new extended IVFN-FWZIC method weighs the criteria for benchmarking the optimal applications based on experts’ judgments. The results illustrate the effectiveness of the modelling approach and indicate that "spatial" and “haptics” are the most significant criteria in evaluating immersive visual interactive applications. …”
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Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model by Ahmad N. Alkuwari (22392226)

“…The evaluated machine learning models include traditional shallow detectors, deep learning-based detectors, and hybrid models that employ both horizontal and vertical detection strategies. …”

A machine learning model for early detection of diabetic foot using thermogram images by Amith Khandakar (14151981)

“…A comparatively shallow CNN model, MobilenetV2 achieved an F1 score of ∼95% for a two-feet thermogram image-based classification and the AdaBoost Classifier used 10 features and achieved an F1 score of 97%. …”

Validating a Structural Model of Destination Image, Satisfaction, and Loyalty Across Gender and Age by Assaker, Guy

“…We confirm that DI predicts satisfaction and has a significant direct and indirect effect on loyalty. After examining the validated structural model across different groups of respondents based on gender, age, and the gender by age interaction, we found that the model constructs differ across some of the groups. …”
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Sulfur oxidative coupling of methane process development and its modeling via machine learning by Giovanni Scabbia (13751501)

“…The outcomes of the simulated process were used to design a data-driven modeling approach, based on machine learning methods, and to evaluate its interpolation accuracy. …”