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

Serum Vitamin D Concentration ≥75 nmol/L Is Related to Decreased Cardiometabolic and Inflammatory Biomarkers, Metabolic Syndrome, and Diabetes; and Increased Cardiorespiratory Fitn... by Vijay Ganji (8710491)

Explainable phishing website detection for secure and sustainable cyber infrastructure by Tanzila Kehkashan (20748842)

“…Traditional methods might not fully capture the significance of individual features. To overcome this issue, this research applies feature selection techniques, specifically shapley additive explanations, with each model based primarily on the URL to improve the detection process. …”

Nonlinear Control of Brushless Dual-Fed Induction Generator With a Flywheel Energy Storage System for Improved System Performance by Mohammed Hamidat (3722086)

“…After optimization, the SMC settling time was significantly reduced from 0.7 seconds to 19.97 milliseconds, achieving a 96.9% improvement in response speed, while its steady-state error decreased from 0.48 to 0.06, marking an 87.5% reduction in tracking error. …”

Machine learning-based prediction of one-year mortality in ischemic stroke patients by Ahmad Abujaber (9100064)

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

“…Recursive feature elimination (RFE) was leveraged to identify a subset of features to improve the performance of model. SHAP based analysis was used for the importance of features and support the explainability of the proposed model.…”

Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim (22303750)

Analysis of mode choice affects from the introduction of Doha Metro using machine learning and statistical analysis by Ammar, Abulibdeh

“…Furthermore, the SHapley Additive exPlanations (SHAP) method was used to rank the input features based on their importance according to the mean SHAP value. …”
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Analysis of mode choice affects from the introduction of Doha Metro using machine learning and statistical analysis by Ammar Abulibdeh (15785928)

“…Furthermore, the SHapley Additive exPlanations (SHAP) method was used to rank the input features based on their importance according to the mean SHAP value. …”

Food fraud detection using explainable artificial intelligence by Okan Buyuktepe (17991493)

“…From farm to fork, the performance of food‐producing systems is influenced by significant changes in the environment, population and economy. …”

Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study by Muhammad Atif Butt (10849980)

“…By analyzing the explanations generated by SHAP, we identify that the decision of a FER model is largely influenced by features such as eyes, alar crease, lips, and jaws. …”

A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti (21593819)

“…The global concern associated with ASD diagnosis is increasing at a rapid rate due to its significant impact on quality of life. Early identification of ASD can significantly support timely intervention and treatment planning. …”

Nurses’ work environment and intent to leave in Lebanese hospitals by Dimassi, Hani

“…Regression analysis revealed that for every 1 point score decrease on career development there was a 93% increase in likelihood of reporting intent to leave country. …”
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Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet by Vineet Dhanawat (22361395)

“…<p dir="ltr">The exponential increase in the adoption of Electric Vehicles (EVs) presents significant problems to the stability of the power grid. …”

Dissecting the signaling pathways regulating the vascular endothelial growth factor (VEGF) in brain tumor cells. (c2017) by Nicolas, Samer Michel

“…However, when both RhoA and RhoC were knocked down, VEGF expression decreased after EGF stimulation. Moreover, when the astrocytoma cells were subjected to hypoxia at different times, we detected a significant increase in pERK. …”
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Characterizing the dynamics of climate and native desert plants in Qatar by Meshal Abdullah (17746950)

“…Increased drought seasons correlated with changes in annual temperature, dew point, and soil temperature. Vegetation growth depended not only on rainfall amount but also on the number of rainfall events and accumulation. …”

A Machine Learning Approach on Chest X-Rays for Pediatric Pneumonia Detection by Barakat, Natali Imad

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Sleeve Gastrectomy in Patients with Type 2 Diabetes: Anthropometric and Cardiometabolic Improvements at 1, 3, 5, 7, and 9 years—Are the Initial Benefits Sustained? by Wahiba Elhag (5245547)

“…Fasting blood glucose decreased significantly across the five time points, from 9.27 ± 4.11preop to 7.06 ± 2.70 _year9mmol/L. …”

Initial risk assessment for pulmonary hypertension in patients with COPD by Yammine, Joe

“…Diffusion capacity was lower but did not reach statistical significance (P = 0.07). In multivariate analysis, statistically significant independent variables were >3% decrease in exercise oxyhemoglobin saturation and decline in prebronchodilator FEV1 (P = 0.01 and P = 0.04, respectively). …”
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Shear Behavior of One-Way Reinforced Concrete Hollow Slabs Voided with PET Void Formers by Hasan, Haider H.

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