Combining Saliency with Prediction for Endoscopic Diagnosis by Rezk, Mahmoud

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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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Predictive Power of Random Forests in Analyzing Risk Management in Islamic Banking by Ahmet Faruk Aysan (11902115)

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

“…When performed within 4 weeks of chemotherapy, PET had a negative predictive value of 13.3% and a positive predictive value of 94.3%. …”
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Hepatitis serology predicts tumor and liver-disease characteristics but not prognosis after resection of hepatocellular carcinoma by Abdalla, Eddie

“…The presence of hepatitis did not significantly affect the survival rate, but hepatic fibrosis and vascular invasion predicted a decreased survival rate. …”
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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 root mean squared errors RMSEs for all data subsets have decreased leading to enhancing the accuracy of prediction. …”
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Prediction of critical total drawdown in sand production from gas wells: Machine learning approach by Fahd Saeed Alakbari (10701871)

“…Although some models are available for CTD prediction, most of them are proven to lack accuracy or use commercial software. …”

An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health by Belqes Alsadi (18695031)

“…We believe Dapagliflozin prescriptions in Qatar were associated with decreased Gamma Glutamyltransferase and Aspartate Aminotransferase enzyme levels, confirming prior research. …”

Developing a Stochastic Model to Predict Cost Overrun due to the Causes of Projects Delay in Oil Fields Construction Industry by ALKHOORI, KHALID ABDUL MAJEED

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Neoadjuvant Chemotherapy Alters Neuropilin-1, PlGF, and SNAI1 Expression Levels and Predicts Breast Cancer Patients Response by Noura Al-Zeheimi (5177066)

“…Unlike NRP-1, circulating PlGF was significantly increased (<i>p</i> = 0.014) in patients with a pathological complete response (pCR). …”

Battery Energy Management Techniques for Electric Vehicle Traction System by AbdelAziz, Ahmed Sayed AbdelAal

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Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis by George Nitzburg (18614989)

“…Specifically, symptom queries were first determined to be significantly predictive of subsequent 12-step queries if the probability of querying a medical symptom by those who later sought information about the 12-step program exceeded the probability of that same query being made by a comparison group of all other Bing users in the United States. …”

A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability by Debabrata Mazumdar (18560506)

“…<p dir="ltr">The rapid growth of modern civilization has led to increased global warming and climate challenges. Variations in atmospheric temperature, sunlight intensity and other factors significantly impact the performance of photovoltaic (PV) systems. …”

Preparation of albumin-targeted liposomes and the study of their release characteristics using ultrasound by Turki, Renad

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Burst Round Robin as a Proportional-Share Scheduling Algorithm by Helmy, Tarek

“…This will reduce the number of processes in the ready queue by knocking out short jobs relatively faster in a hope to increase the throughput and reduce the average waiting time.…”
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Do near-bedtime usage of smartphones and problematic internet usage really impact sleep? A study based on objectively recorded usage data by Aftab Alam (5158601)

“…</p><h3> Results</h3><p dir="ltr">The multivariate linear regression showed that the increase in PIU (β = −0.231, p < 0.001) and smartphone usage two hours before sleep (β = −0.246, p < 0.001) led to decrease in sleep duration. Regarding sleep distraction, multivariate linear regression analysis revealed that two hours before sleep was a significant and positive predictor of sleep distraction (β = 0.197, p = 0.003), whereas PIU was not significant. …”

Clinical and biochemical determinants of length of stay, readmission and recurrence in patients admitted with diabetic ketoacidosis by Fateen Ata (12217764)

“…<h3>Background</h3><p dir="ltr">The increasing prevalence of diabetic ketoacidosis (DKA) related admissions poses a significant burden on the healthcare systems globally. …”

Characterization and Modeling of Damage in Steel at Different Strain Rates by Al-Himairee, Reem

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Predictors of prolonged hospitalization among geriatric trauma patients using the modified 5-Item Frailty index in a Middle Eastern trauma center: an 11-year retrospective study by Husham Abdelrahman (768893)

“…Head injury and bleeding were the leading causes of mortality in the study cohort. There was a significant decrease in the trend of geriatric trauma over the years. …”

Pore-scale simulation of fine particles migration in porous media using coupled CFD-DEM by Ahmed Elrahmani (17128837)

“…The time required to develop bridging and subsequent clogging of the pore space that lead to permeability reduction decreases as the flow velocity increases. The size of the fine particles has a significant impact on permeability reduction where the reduction in permeability increases as the size of particles increases. …”