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Development of Seed Variables Prediction Models for Use in Dynamic Backcalculation of FWD Data
Published 2022“…Yet, this process is most likely unstable and is prone to numerous errors including the selection of relevant seed variables. The selected seed-variables hold significant consequences on the-final backcalculated-results. …”
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Modeling of photovoltaic soiling loss as a function of environmental variables
Published 2017“…The ANN model performed significantly better in predicting daily ΔCIas well as cumulative CI than the linear model in term of R2 values and statistical error indexes. …”
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PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks
Published 2022“…In this work, we introduce a clinical prediction model (PredictPTB) which combines variables (medical codes) readily accessible through electronic health record (EHR) to accurately predict the risk of preterm birth at 1, 3, 6, and 9 months prior to delivery.…”
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Model predictive control of shell benchmark process
Published 2003“…MPC technology has penetrated a significant portion of the process industries and harvested large economical benefits. …”
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Prediction of EV Charging Behavior Using Machine Learning
Published 2021“…In both predictions, we demonstrate a significant improvement compared to previous work on the same dataset and we highlight the importance of traffic and weather information for charging behavior predictions.…”
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New model for estimating geometric tortuosity of variably saturated porous media using 3D synchrotron microcomputed tomography imaging
Published 2023“…Geometric tortuosity was directly determined from the 3D images using the centroids of the connected paths in the flow direction of the media, and multivariate nonlinear regression analysis was adopted to develop a simple practical model to predict tortuosity of variably saturated natural unconsolidated porous media. …”
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AI-based remaining useful life prediction and modelling of seawater desalination membranes
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doctoralThesis -
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The predictors of perforated appendicitis in the pediatric emergency department: A retrospective observational cohort study
Published 2021“…In the multivariate analysis, male gender (odds ratio [OR]: 3.133; 95% confidence interval [CI]: 1.610–6.096); vomiting (OR: 2.346; 95% CI: 1.141–4.822); diarrhea (OR: 4.549; 95% CI: 1.850–11.181); fever (OR: 3.429; 95% CI: 1.765–6.663); elevated WBC (OR: 2.962; 95% CI: 1.491–5.884) and elevated CRP (OR: 3.061; 95% CI: 1.267–7.396) were variables that predicted the PA in children. Conclusion Our data indicate that several clinical and biochemical parameters can reliably distinguish between pediatric PA and NPA at admission in the emergency department.…”
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Prediction of critical total drawdown in sand production from gas wells: Machine learning approach
Published 2023“…The effects of all independent variables on the CTD are displayed in three-dimensional plots and showed significant interactions.…”
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Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
Published 2022“…A Friedman's test and Wilcoxon Sign-Rank post hoc analysis with Bonferroni correction show that PG prediction errors using GP are significantly lower than using the ANN model (p < 0.05). …”
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Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic
Published 2025“…However, some patients declined transportation to hospital due to their fear of accessing healthcare facilities. This posed a significant risk to their health outcomes. This study aimed to utilise an extensive dataset, which included the period of the COVID-19 pandemic, in a modern Middle Eastern Emergency Medical Service to comprehend and predict the behaviour of non-transport decisions, a major multi-variable factor in pre-hospital emergency medicine. …”
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The FASILA Score: A Novel Bio-Clinical Score to Predict Massive Blood Transfusion in Patients with Abdominal Trauma
Published 2019“…FASILA scores correlated significantly with the Assessment of Blood Consumption (ABC) (r = 0.65), Revised Assessment of Bleeding and Transfusion (RABT) (r = 0.63), SI (r = 0.72), RTS (r = − 0.34), and Glasgow Coma Scale (r = − 0.32) and outperformed other predictive systems (RABT, ABC, and SI) in predicting MT, MTP, ExLap, and mortality.…”
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Predictive factors for giftedness among Syrian refugee students: A focus on academic achievement, gender, and school context
Published 2023“…Middle school students were less likely to be identified compared to secondary students, while gender differences were not significant. Predictive modeling results should be interpreted with caution, as gifted identification was derived directly from the HOPE total score; models incorporating HOPE items closely mirrored the HOPE-based classification, whereas models using only demographic variables had limited discriminatory power. …”
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