The significance of upright T wave in lead V1 in predicting myocardial ischemia A literature review by Fadi Kazahia Khir (17280745)

“…</p><p dir="ltr">In this article, we are trying to highlight the importance of this subtle ECG change in predicting cardiovascular disease through a concise review of the available evidence on this topic.…”

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

“…<p dir="ltr">The ability to predict breast cancer metastases is essential for making effective clinical decisions and managing patients. …”

A model predictive control strategy for enhancing fault ride through in PMSG wind turbines using SMES and improved GSC control by Sobhy M. Abdelkader (13038282)

“…These challenges pose a threat to grid stability, impede Wind Turbine Generator performance, and may lead to significant damage to wind turbines. To address these concerns, this research proposes an integrated strategy that combines a model predictive control (MPC) superconducting magnetic energy storage (SMES) device with a modified WTG grid-side converter control. …”

Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning by Zaib Akram (22224541)

Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting by Aryan Bhambu (18767731)

“…The computational results demonstrate the superiority of the proposed models through a comparative analysis against state-of-the-art approaches across fifteen significant wave height time series, validated by three error metrics and a statistical test.…”

The significance of general skills training for early career graduates: relationships with perceived organizational support, job satisfaction and turnover intention by Pinnington, Ashly

“…Purpose– The purpose of this study is to address the mixed predictions about the relationship between general skills training and turnover intention of early career graduates by examining the mediating mechanisms of perceived organizational support (POS) and job satisfaction (JS) through which this relationship might be enacted. …”
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Enhancing Liquefied Natural Gas supply chain robustness through digital twin-driven machine learning models: A special case of cryogenic heat exchanger by Mariem Mhiri (17991544)

“…Next, this data is processed through Aspen HYSYS-based and ML-driven DT to assess the system performance and predict potential failures, respectively. …”

PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks by Rawan AlSaad (14159019)

“…In this work, we introduce a clinical prediction model (PredictPTB) which combines variables (medical codes) readily accessible through electronic health record (EHR) to accurately predict the risk of preterm birth at 1, 3, 6, and 9 months prior to delivery.…”

Prediction of evaporation losses in wet cooling towers by QURESHI, BILAL AHMED

“…Accurately predicting evaporation losses is significant because water in cooling towers is cooled primarily through the evaporation of a portion of the circulating water, which causes the concentration of dissolved solids and other impurities to increase. …”
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Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side by Ali Sharida (17947847)

“…Unlike MPC, IMPC offers a significantly reduced computational burden by omitting the iterative computations of the cost functions and states predictions. …”

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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Maintaining TQM in a Nuclear Power Plant through Training by AL AWLAQI, MOHAMED

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Precision biomarker discovery in hypertension through explainable AI and proteomics by Karthik Sekaran (16845959)

Forecasting model to predict project success based on the contractors’ characteristics by AlSuwaidi, Khalid Waleed Rashid Deemas

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

“…Initially, raw datasets chronicling sporadic traffic accidents are transformed into multivariate, regularly sampled sequences that are amenable to sequential modeling through a temporal discretization process. Subsequently, Traffic Transformer captures and learns the hidden relationships between any elements of the input sequence, constructing accurate prediction for multiple forthcoming intervals of traffic accidents. …”

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. …”

Exploring machine learning approaches for biohydrogen production through dark fermentation in wastewater by Ibrahim Shomope (22928773)

“…Machine learning (ML) offers a data-driven approach to predict and enhance hydrogen production efficiency. …”

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. …”
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Deep learning based multimodal urban air quality prediction and traffic analytics by Saad Hameed (6488738)

“…<p dir="ltr">Urban activities, particularly vehicle traffic, are contributing significantly to environmental pollution with detrimental effects on public health. …”