ESDD Prediction of Outdoor Polymer Insulators by Khaled, Abdelrahman

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Enhanced event-based surveillance: Epidemic Intelligence from Open Sources (EIOS) during FIFA World Cup 2022 Qatar by Mohamed, Sallam

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Model predictive control of shell benchmark process by Amjad, S.

“…MPC technology has penetrated a significant portion of the process industries and harvested large economical benefits. …”
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Predicting stability of classes in an object-oriented system by Azar, D.

“…Many metrics have been proposed to assess these software attributes and for this purpose, prediction models have been widely used. However, in almost all cases, these models were not efficient when used to predict the quality characteristics (stability or other) of new unseen software as their prediction accuracy decreases significantly. …”
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Cloud-based deep learning-assisted system for diagnosis of sports injuries by Xiaoe Wu (17541951)

Role of nutritional indices in predicting outcomes of vascular surgery by Jabbour, Jana

“…We aimed to assess the combined use of recent significant weight loss (>10% body mass) and serum albumin levels as a nutritional status index to predict outcomes. …”
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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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Predicting Split Decisions in MPEG-2 to HEVC Video Transcoding by Shanableh, Tamer

“…While in the transcoding mode, the split decisions of coding units of the HEVC video are predicted. Two formulations are proposed for the prediction of split decisions based on multi model and multi-tier solutions. …”
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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. …”

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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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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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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A customised fetal growth and birthweight standard for Qatar: a population-based cohort study by Thomas Farrell (3933833)

“…</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Perinatal Medicine<br>License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1515/jpm-2024-0060" target="_blank">https://dx.doi.org/10.1515/jpm-2024-0060</a></p>…”

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. …”

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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