GAN-Based Data Augmentation for Fault Diagnosis and Prognosis of Rolling Bearings: A Literature Review حسب Md. Sulyman Islam Sifat (22928983)

"…This review establishes a comprehensive foundation for understanding the current state and future directions of GAN-based approaches for rolling bearing fault diagnosis and prognosis, offering researchers and practitioners a valuable resource in industrial predictive maintenance.…"

A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models حسب Azar, Danielle

"…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …"
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An Exploration of Smoking Patterns Among People with Serious Mental Illness Attending an Outpatient Clinic in Qatar حسب Monica Zolezzi (10115698)

A Multi-Feature Based Approach Incorporating Variable Thresholds for Detecting Price Spikes in the National Electricity Market of Australia حسب Dao H. Vu (19570225)

Just-in-time defect prediction for mobile applications: using shallow or deep learning? حسب Raymon van Dinter (10521952)

"…In this research, we evaluate the performance of traditional machine learning algorithms and data sampling techniques for JITDP problems and compare the model performance with the performance of a DL-based prediction model. Experimental results demonstrated that DL algorithms leveraging sampling methods perform significantly worse than the decision tree-based ensemble method. …"

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

"…The model utilizes general variant information such as position, frequency, and consequence for the canonical BRCA2 transcript, as well as deleteriousness prediction scores from several tools. 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.…"

Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation حسب Faseela Abdullakutty (22564814)

"…A comparison was conducted between three prediction approaches: a unimodal approach, an early fusion approach based on concatenation, and the Multi Co-Guided Attention (MCGA) approach. …"

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

"…Membrane-based separation has gained increased popularity over the past few decades, particularly reverse osmosis (RO). …"
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Optimal management, prevalence, and clinical behavior of saddle pulmonary embolism: A systematic review and meta-analysis حسب Fateen Ata (12217764)

"…<h3>Introduction</h3><p dir="ltr">The central location, size, and instability of saddle pulmonary embolism (SPE) have raised significant concerns regarding its clinical, hemodynamic effects as well as optimal management. …"

B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core حسب Yahuza Bello (19645930)

"…Our findings show the superiority of container-based model over VM-based model in terms of resource utilization. …"

AN EXAMINATION OF THE PREDICTIVE FACTORS ON STUDENTS' MOTIVATION FOR SUCCESS IN UNDERGRADUATE INTRODUCTORY MATHEMATICS COURSES IN THE UAE حسب HAMMOUDI, MOHAMAD MUSTAFA

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Can the Salivary Microbiome Predict Cardiovascular Diseases? Lessons Learned From the Qatari Population حسب Selvasankar Murugesan (4376506)

"…This is the first study to apply ML-based prediction modeling using the SM to predict CVD in an Arab population. …"

Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test حسب Hasan T. Abbas (8115014)

"…Data generated from an oral glucose tolerance test (OGTT) was used to develop a predictive model based on the support vector machine (SVM). …"

Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment حسب 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. …"

Epigenetic analysis of Paget’s disease of bone identifies differentially methylated loci that predict disease status حسب Ilhame Diboun (3522413)

"…Meta-analysis of data from the discovery and cross-validation set, each comprising 116 PDB cases and 130 controls, revealed significant differences in DNA methylation at 14 CpG sites, 4 CpG islands, and 6 gene-body regions. …"

Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) حسب Fares Almomani (12585685)

"…The removal efficiencies in the proposed ENR-BP were four fold higher than the suspended growth process and in the same order of magnitude of 5-stage Bardenpho-MBBR. The developed ANN-based model provides an efficient and robust tool for predicting and forecasting the performance of the ENR-BP.…"

Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning حسب Ahmad K. Sleiti (15955149)

"…These results suggest that the use of machine learning models can significantly improve the accuracy of predicting the viscosity of PAO-hBN nanofluids. …"

A customised fetal growth and birthweight standard for Qatar: a population-based cohort study حسب Thomas Farrell (3933833)

"…</p><h3>Methods</h3><p dir="ltr">The PEARL registry data on women delivering in Qatar (2017–2018) was used to develop a multivariable linear regression model predicting optimal birthweight. …"

Nutritional Status and Clinical Outcomes of Children with Medical Complexity in the United Arab Emirates: A Retrospective Cross-Sectional Study حسب Al Slaybe, Maryam

"…Although undernourished children exhibited higher rates of early readmission, recurrent admission, and in-hospital mortality, these associations were not statistically significant. Conclusion: Undernutrition is alarmingly high among hospitalized CMCs, with a significant association with adverse clinical outcomes, including prolonged hospitalization. …"
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Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems حسب Khaled Dhibi (16891524)

"…Ensemble method is a tool that merges several base models in order to produce one optimal predictive model. …"