Ensemble Deep Random Vector Functional Link Neural Network for Regression by Minghui Hu (2457952)

“…Our present work first fills the gap of dRVFL and edRVFL work in the field of regression. We test and evaluate the performances of the dRVFLs on regression problems. …”

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

“…In this study, a brain age classification and estimation framework is proposed using structural magnetic resonance imaging (sMRI) scans, a 3-D convolutional neural network (3-D-CNN), and a kernel ridge regression-based random vector functional link (KRR-RVFL) network. …”

Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex by Wesam S. Ahmed (10170053)

“…<p dir="ltr">Coronavirus Disease of 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has resulted in a massive health crisis across the globe, with some genetic variants gaining enhanced infectivity and competitive fitness, and thus significantly aggravating the global health concern. …”

A Multi-Feature Based Approach Incorporating Variable Thresholds for Detecting Price Spikes in the National Electricity Market of Australia by Dao H. Vu (19570225)

Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems by Mahmood, Lubna Syeda

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Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment by Ikhlas Ghiat (16932564)

“…Three machine learning models were investigated for transpiration modelling and prediction: deep neural networks (DNN), extreme gradient boosting (XGBoost), and support vector machine regression (SVR). These predictive models assimilate microclimate, physiological and hyperspectral features with high temporal and spatial resolutions. …”

Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM by Tadesse G. Wakjira (14779165)

“…A total of seven machine learning (ML) models such as kernel ridge regression, K-nearest neighbors, support vector regression, classification and regression trees, random forest, gradient boosted trees, and extreme gradient boosting (xgBoost) are evaluated to propose the best predictive model for FRCM-strengthened beams. …”

Formation of Bromate in Pet Bottle Water by Sharif, Haifa

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Analysis of the Impact of Information and Communication Technology, Digitalization, Renewable Energy and Financial Development on Environmental Sustainability by Lanouar Charfeddine (10705000)

“…This study employs the Panel Vector Auto-Regression model to evaluate this assertion across the top ten most polluted countries from 1995 to 2018. …”

Study of the Impact of Land Use and Land Cover (LULC) Changes on local climate in Six Mega Global Cities in the 21st Century by Sabobeh, Lara Ali

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Improvement of Dialysis Dosing Using Big Data Analytics by Mumtaz, Syeda Leena

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School children growth monitoring program in the state of Qatar: Observations from two survey rounds in 2016–17 and 2019–20 by Mohammed H. Al‐Thani (21406742)

“…</p><h3>Conclusions</h3><p dir="ltr">Shift from normal BMI‐z‐score to obese and overweight category is a cause of concern and an opportunity to develop appropriate interventions. …”

Effects of Social Media Use and Dependence on Dietary Intake and Prevalence of Orthorexia in Pregnant and Non-Pregnant Women by Issa, Yara

“…This issue may be of particular concern in pregnant women since adequate dietary behavior is essential for the health of the mother and fetus. …”
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Inappropriate Medication Use in Elderly Lebanese Outpatients by Saab, Yolande B.

“…Background Inappropriate use of medications has become an international cause for concern in geriatric patients, who are at high risk of drug-related morbidity. …”
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Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach by Abujaber, Ahmad A.

“…Five machine learning models were trained and evaluated: XGBoost, Random Forest, Support Vector Machine (SVM), Logistic Regression, and Artificial Neural Network (ANN). …”
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The Influence of Loneliness and Living Alone on the Quality of Life of the Elderly: Evidence from Europe by Ammari, Lora

“…Loneliness among the elderly has become a significant concern, especially post-COVID-19. This thesis explores the relationship between living alone, loneliness, and quality of life (QoL) in elderly Europeans. …”
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The chemical analysis of Lebanese olive oil and the influence of oil enriched diet on Plasma Lipid profile in rats. (c2002) by Zarikian, Karen Awadis

“…Following ten week low fat verses high fat diet, no significant difference was observed among the various groups in lipid profile, insulin and Apo B 100 & 48 levels. …”
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Developing an online hate classifier for multiple social media platforms by Joni Salminen (7434770)

“…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …”

Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context by SALIM, MAHA JAWDAT

“…Various ML algorithms, such as Support Vector Machines, Logistic Regression, K-Nearest Neighbors, Naïve Bayes, Decision Trees, Random Forest, AdaBoost, Bagging, and Artificial Neural Networks are applied to predict student performance. …”
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Unveiling the Nexus Between Land Use, Land Surface Temperature, and Carbon Footprint: A Multi-Scale Analysis of Building Energy Consumption in Arid Urban Areas by Ammar Abulibdeh (15785928)

“…To further investigate the spatial heterogeneity of the relationships between LST and climate variables, Multiscale Geographically Weighted Regression (MGWR) was utilized. This study hypothesizes that changes in LULC and LST will significantly increase the CF of buildings, especially during peak summer months in arid regions, while increased vegetation will help reduce this impact. …”