Both decreasing interstructural space size and increasing total cover increase shrimp abundance on artificial structures deployed in a UAE seagrass bed by Bartholomew, Aaron

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L1-CAM knock-down radiosensitizes neuroblastoma IMR-32 cells by simultaneously decreasing MycN, but increasing PTEN protein expression by Rached, Johnny

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Serum Vitamin D Concentration ≥75 nmol/L Is Related to Decreased Cardiometabolic and Inflammatory Biomarkers, Metabolic Syndrome, and Diabetes; and Increased Cardiorespiratory Fitn... by Vijay Ganji (8710491)

Application of Data Mining to Predict and Diagnose Diabetic Retinopathy by Haniyeh, Maryam

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Predicting gasoline prices using Michigan survey data by Baghestani, Hamid

“…As such, we conclude that the MSC data on both expected inflation and consumer sentiment have significant predictive information for gasoline prices. …”
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Predicting Mobile Game Success Using Data Analytics by ALOMARI, KHALED MOHAMMAD

“…This study addresses these challenges through data driven research of the mobile gaming application market, mobile gaming application features, user acquisition and retention trends, and monetization strategies using the CRISP-DM model for data mining in order to prove a successful method for predictions of mobile game application success. …”
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Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation by Faseela Abdullakutty (22564814)

“…Traditional models predominantly rely on structured clinical data, which often lacks essential contextual details, limiting their predictive accuracy. …”

Development of Seed Variables Prediction Models for Use in Dynamic Backcalculation of FWD Data by Nasr, Cynthia

“…Generally, the backcalculation process is extensively used to analyze the Falling Weight Deflectometer (FWD)-data for estimating the layer-moduli of a pavement structure. …”
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The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu... by Wesal Habbab (17346961)

“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”

Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai by Khashan, Deena Younis Abo

“…The root mean squared errors RMSEs for all data subsets have decreased leading to enhancing the accuracy of prediction. …”
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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. …”

Long Term HbA1c Prediction Using Multi-Stage CGM Data Analysis by Md Shafiqul Islam (7010348)

“…The CGM data have been rigorously investigated, and pertinent features were created along with a multi-stage multi-class (MSMC) classification model to predict futuristic HbA1c levels. …”

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

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Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Sumaira Hussain (19259669)

“…The main objective of this study is to improve upon the current methods for identifying and predicting malicious websites. Our methodology includes data collection, data cleaning, and the application of the XGBoost classifier. …”

Improvement of Dialysis Dosing Using Big Data Analytics by Mumtaz, Syeda Leena

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

“…Our proposed Traffic Transformer employs the sophisticated multi-head attention mechanism in lieu of the widely used recurrent architecture. This significant shift enhances the model's ability to capture long-range dependencies within time series data. …”

Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan by AL RAWASHDEH, HANEEN MOHAMMAD

“…In this thesis, the effectiveness of using a data mining classifier helps to predict users’ engagement with a social media post before publishing and anticipating the best type of media for the post. …”
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The future of sleep health: a data-driven revolution in sleep science and medicine by Ignacio Perez-Pozuelo (14153007)

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

Prediction of transportation index for urban patterns in small and medium-sized Indian cities using hybrid RidgeGAN model by Thottolil, Rahisha

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