Ensemble Deep Random Vector Functional Link Neural Network for Regression حسب 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 حسب 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. …"

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

Thermal challenges in lithium-ion battery technology: Investigating performance and thermal stability حسب Kenza Maher (22803425)

"…However, ensuring the safety and reliability of these batteries in desert environments presents significant challenges due to high temperatures, pervasive dust, and limited cooling mechanisms. …"

Addressing Challenges of Distance Learning in the Pandemic with Edge Intelligence Enabled Multicast and Caching Solution حسب Kashif Bilal (16896357)

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

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Mirizzi Syndrome: Mastering the Challenge, Characterization and Management Outcomes in a Retrospective Study of 60 Cases حسب Yousef Yahia (19756989)

"…Liver enzyme and bilirubin levels were significantly higher in the advanced types. Preoperative diagnosis was achieved in 70% of patients, with MRCP and ERCP being the most effective diagnostic tools. …"

Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment حسب 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. …"

Visitors off the trail: Impacts on the dominant plant, bryophyte and lichen species in alpine heath vegetation in sub-arctic Sweden حسب Monika, Rawat

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Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM حسب 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. …"

Salvia libanotica improves glycemia and serum lipid profile in rats fed a high fat diet حسب Bassil, Maya

"…Group III also had better glucose tolerance following intraperitoneal glucose challenges. Additionally, the plant extract intake produced a significant improvement in serum HDL (34.4 ± 2.4 in GIII vs. 27.2 ± 1.9 mg/dl in controls) and HDL/LDL cholesterol ratio (2.79 ± 0.32 in GII and 3.02 ± 0.31 in GIII vs. 1.74 ± 0.18 in controls), as well as a decrease in abdominal fat. …"
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IS security menace حسب Balozian, Puzant

"…Nevertheless, this manuscript challenges that notion and advances a stream of research that suggests increasing security measures may lead to decrease in user productivity, increased user mistrust in the IT department, increased user frustration, increased user technology avoidance, increased non-malicious volitional security violations and overall may lead to increased security risk, instead of decreasing it. …"
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Analysis of the Impact of Information and Communication Technology, Digitalization, Renewable Energy and Financial Development on Environmental Sustainability حسب 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 حسب Sabobeh, Lara Ali

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

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The downsides of information systems security policy compliance efforts حسب Balozian, Puzant

"…Nevertheless, this dissertation challenges that notion and advances a stream of research that suggests increasing security measures may lead to decrease in user productivity, increased user mistrust toward the IT department, increased user frustration, increased user technology avoidance, increased non-malicious volitional security violations and overall may lead to increased security risk, instead of decreasing it. …"
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Nurses’ work environment and intent to leave in Lebanese hospitals حسب Dimassi, Hani

"…Findings show that hospital characteristics (size, accreditation status and presence of a recruitment and retention strategy) were significantly associated with NWI-R subscales. Conclusions Participation, control and career development were key work environment challenges contributing to the attrition on nurses from Lebanese hospitals. …"
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Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach حسب 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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Developing an online hate classifier for multiple social media platforms حسب 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 حسب 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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