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

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. …”

Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning by Noaman Khan (19810050)

“…<p dir="ltr">Hardware trends have motivated the development of mixed precision algorithms in numerical linear algebra, which aim to decrease runtime while maintaining acceptable accuracy. …”

Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women by Vijay, Ganji

“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women by Vijay Ganji (8710491)

“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”

Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC by Abhilash Dutta Roy (22466830)

“…Our results revealed significant changes in land cover, as seen by an increase in artificial built-up areas by 15.5% in two decades and a corresponding decrease in bareland and dense vegetation. …”

Preterm birth in low-middle income Countries by Alim, Swarray-Deen

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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. …”

Effect of consanguinity on birth weight for gestational age in a developing country by Wakim, Gerard

“…No significant difference was observed in the decrease in birth weight between the first- and second-cousin marriages. …”
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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)

“…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. …”

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. …”

Formation of Trihalomethanes during Seawater Chlorination by Ahmed Abdel-Wahab (1748986)

“…Chlorination of seawater has shown significant increase in total THMs (TTHMs) and in bromoform concentrations. …”

Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy by Yahya, Fares

“…The FCN shows a significant decrease in most of the right frontal areas. …”
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Effect of the stretch rate during uniaxial testing on the mechanical properties of prolene by Ammouri, A.H.

“…Of the mechanical properties of special significance are the following three properties: peak load (N), extension (%) at peak load, and linear stiffness (N/mm). …”
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