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

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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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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. …”

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. …”

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

“…Predicting the price of real estate properties based on past sales transactions is one of the data mining applications. …”
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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. …”

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

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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. …”

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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Board changes and CEO turnover by Dah, Mustafa A.

“…For firms that decrease independence, the CEO turnover performance sensitivity significantly decreases following SOX. …”
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Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic by Hassan Farhat (9000509)

A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences by Razieh Rastgoo (22457767)

“…Recently, cloud images, providing more direct and comprehensive information about cloud patterns than on-site or off-site numerical weather prediction data, have become increasingly accessible for analyzing cloud dynamics, enabling more precise and efficient cloud change predictions. …”

Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation by Rawan AlSaad (14159019)

“…These findings robustly validate the efficacy of employing non-stationary kernels for temporal modeling of EHR data, and emphasize the importance of modeling non-stationary temporal information in healthcare prediction tasks.…”

A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

“…<p dir="ltr">NanoLuc (NLuc) <u>luciferase</u> has found extensive application in designing a range of <u>biologica</u><u>l</u><u> assays,</u> including <u>gene expression analysis</u>, protein-protein interaction, and protein conformational changes due to its enhanced brightness and small size. …”