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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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.…”

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

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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. …”

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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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)

Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills by Abbas, Tariq

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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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Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills by Tariq Abbas (368053)

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%. …”