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)

Performance Prediction Using Classification by MOOLIYIL, GITA

“…The use of classification as a data mining approach for performance prediction has been studied by many eminent researchers. …”
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Contrasting and Predicting Social Media’s Role in Addictive Use and Well-Being by Deniz Cemiloglu (17150980)

“…Competence in using social media significantly predicted both PSMU and SM-WB in the Arab sample. …”

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. …”

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

“…This research project aims-to-develop models through classification analysis to predict the seed variables. This involves (1) calculating theoretical surface deflections through a finite element model that simulates different pavement structures and properties, (2) calculating FWD parameters and indices for each structure and (3) using those parameters to build Random Forest models that predict the seed variables with low OOB-error and high accuracy. …”
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AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

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Predicting gasoline prices using Michigan survey data by Baghestani, Hamid

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Prediction of EV Charging Behavior Using Machine Learning by Shahriar, Sakib

“…Researchers have focused on using historical charging data for predictions of behavior such as departure time and energy needs. …”
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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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PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks by Rawan AlSaad (14159019)

Transfer learning for genotype–phenotype prediction using deep learning models by Feng, Samuel

“…Background For some understudied populations, genotype data is minimal for genotype-phenotype prediction. However, we can use the data of some other large populations to learn about the disease-causing SNPs and use that knowledge for the genotype-phenotype prediction of small populations. …”
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Predicting Malignant Potential of Gastrointestinal Stromal Tumors Using Endoscopic Ultrasound by Azar, Riad

“…Conclusions EUS characteristics of tumor size, extraluminal border, depth, and heterogeneity can be used to predict malignant potential of GISTs.…”
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Just-in-time defect prediction for mobile applications: using shallow or deep learning? by Raymon van Dinter (10521952)

“Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms” by Ahmad Samed Al-Adwan (12048279)

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

“…It is found that the results of linear regression prediction have been improved significantly after adding text mining to the experiments. …”
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Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar by Amith Khandakar (14151981)

“…Two different bias calculation techniques were used to evaluate the instances of biased prediction, which can be utilized to reduce bias to improve accuracy. …”

Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning by 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. …”