Cloud-based deep learning-assisted system for diagnosis of sports injuries by Xiaoe Wu (17541951)

Predicting Malignant Potential of Gastrointestinal Stromal Tumors Using Endoscopic Ultrasound by Azar, Riad

“…Methods All patients with a diagnosis of GIST based on surgical resection and preoperative EUS at our institution from January 2000 to July 2006 were identified. …”
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Predicting tendon tissue grafting source from the extensors of long fingers by Yammine, Kaissar

“…The aim is to better predict the location of tendon tissue sources on the dorsum of the hand in reconstructive surgery. …”
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Scatter search for protein structure prediction. (c2008) by Kehyayan, Christine Houry

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Inverse Model Predictive Control for Power Electronic Converters by Ali Sharida (17947847)

“…The proposed IMPC technique is primarily based on the inverse of the conventional finite set model predictive control. …”

Deep Learning for the Accurate Prediction of Triggered Drug Delivery by Husseini, Ghaleb

“…The deep learning-based predictions significantly outperform linear predictions, proving the utility of advanced computational methods in drug delivery. …”
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Optimizing the number of players and training bout durations in soccer small‐sided games: Effects on mood balance and technical performance by Zouhaier Farhani (22330693)

“…Therefore, coaches should consider longer continuous bouts when planning SSGs‐based training to significantly decrease TMD and enhance technical‐tactical performance in soccer SSGs.…”

Effectiveness of Positron Emission Tomography for Predicting Chemotherapy Response in Colorectal Cancer Liver Metastases by Glazer, Evan

“…Interventions Liver resection or ablation for colorectal liver metastases. Main Outcome Measures To determine the accuracy of PET scans to detect residual viable colorectal cancer liver metastases after a significant response to systemic chemotherapy. …”
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Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning by Zeinab, Samira Jihad

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Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions by Yinsong Chen (16685508)

“…These impractical predictions would compromise the scheduling and control decisions made based on them. …”

GAN-Based Data Augmentation for Fault Diagnosis and Prognosis of Rolling Bearings: A Literature Review by 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 by Azar, Danielle

“…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …”
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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

“…The results of linear regression predictions based on the structured features are considered as the baseline of the research. …”
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A Multi-Feature Based Approach Incorporating Variable Thresholds for Detecting Price Spikes in the National Electricity Market of Australia by Dao H. Vu (19570225)

Just-in-time defect prediction for mobile applications: using shallow or deep learning? by 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 by 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 by 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 by AlSawaftah, Nour Majdi

“…Membrane-based separation has gained increased popularity over the past few decades, particularly reverse osmosis (RO). …”
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B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core by 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 by HAMMOUDI, MOHAMAD MUSTAFA

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