A decision support system for automating document retrieval and citation screening by Raymon van Dinter (10521952)

Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection by Atiq ur Rehman (3044409)

“…(v) The effective size of successful agents is reduced recursively while progressing through different states to further facilitate the speed of convergence and decrease the number of features. (vi) The performance comparison with state-of-the-art feature selection methods shows a significant improvement and promise of the proposed method over the existing methods.…”

Efficient multi-objective neural architecture search framework via policy gradient algorithm by Bo Lyu (16522643)

“…Notably, compared with other multi-objective NAS methods, our NAS framework effectively decreases the computational burden (accounting for just 1/6 of the NSGA-Net). …”

Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation by Fawaz Kserawi (16904859)

“…Our experimental results show a possible decrease in data perturbation error by 51.7% and 61.2% for smart meters and fog-computing data aggregators perturbed data, respectively, compared to the commonly used Gaussian mechanism.…”

Turkronicles: diachronic resources for the fast evolving Turkish language by Togay Yazar (22828175)

Psychological inoculation against problematic social media use among adolescents: An experimental study by Sameha Alshakhsi (17032311)

“…The passive inoculation group showed a significant decrease in deception only. No changes were observed in the control group. …”

Novel Ternary Adder and Multiplier Designs Without Using Decoders or Encoders by Jihad Mohamed Aljaam (16864257)

A novel hybrid methodology for fault diagnosis of wind energy conversion systems by Khaled Dhibi (16891524)

“…The main idea behind using a hybrid feature selection step is to select a small subset from original data that can achieve maximum classification accuracy and reduce the computational complexity of the RF technique. Then, the sensitive and significant characteristics are transmitted to the RF model for classification purposes. …”

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

“…We observed that bone area, bone mineral content, and bone mineral density were slightly lower in the Diabetes group across almost all body parts, but the difference against the control group was not statistically significant except in T12, troch and trunk area. No significant negative impact of diabetes progression on bone health was observed over a period of 5-15 yrs in the cohort.…”

Proteomics Analysis of Human Obesity Reveals the Epigenetic Factor HDAC4 as a Potential Target for Obesity by Mohamed Abu-Farha (18535590)

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

“…Concerns related to terrorism financing and cybersecurity risks have also decreased due to the better enforcement of anti-money laundering regulations and investments in cybersecurity infrastructure and education. …”

Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular Networks by Abdul Qadeer Khan (22502168)

FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults by Mohamed Massaoudi (16888710)

A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems by Raka Jovanovic (17947838)

“…The results of the conducted computational experiments indicate that an increase in infrastructure investment through high speed chargers can significantly decrease the size of the necessary fleets. …”

Predicting stability of classes in an object-oriented system by Azar, D.

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Organizational climate and its effects on the employees commitment by El-Kassar, Abdul-Nasser

“…Also, continuance commitment is impacted by three organizational climates: rewards, warmth and support, and structure. …”
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Effects of hydroxycut ingestion on the lipid profile & lipoproteine metabolism in the rat model. (c2004) by Khajag, Koulajian

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The effects of Salvia Officinalis leave on hyperlipidemia, glycemia, ulcer, inflammation, and bactericidal activity. (c2006) by Alayan, Iman

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Effect of Hydroxycut Intake on Fasted and Postprandial Lipemia in Rats by Daher, Costantine F.

“…Regardless of fat content in the diet, the doses of hydroxycut used significantly decreased fasting serum concentrations of cholesterol, triacylglycerol (TAG), low-density lipoprotein (LDL) cholesterol, total apolipoprotein B (apo B), and LDL/high-density lipoprotein (HDL) cholesterol ratio. …”
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Intravenous administration of gold nanoparticles in rats exhibit alterations in sphingomyelins, bile acids, sphingolipids, and cholesterol esters levels by Haya Al-Sulaiti (5449256)

“…Results indicate that AuNPs treatment significantly impacted several metabolic pathways. Notably, there was an increase in sphingomyelin (SM 34:2) levels (estimate 0.23, <i>p</i> ≤ 0.001), which are critical for cell membrane structure and signalling. …”