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decrease » increase (Expand Search)
predicting » prediction (Expand Search), predictive (Expand Search)
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Prediction of knowledge acquisition, knowledge sharing and knowledge utilization from locus control
Published 2017Get full text
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conferenceObject -
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AI-based remaining useful life prediction and modelling of seawater desalination membranes
Published 2024Get full text
doctoralThesis -
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Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context
Published 0024“…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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Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems
Published 2021Get full text
doctoralThesis -
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Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning
Published 2023“…These results suggest that the use of machine learning models can significantly improve the accuracy of predicting the viscosity of PAO-hBN nanofluids. …”
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Estimating the Transformer Health Index Using Artificial Intelligence Techniques
Published 2016Get full text
doctoralThesis -
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Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment
Published 2023“…The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …”
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Comparison of four intensive care scores in prediction of outcome after Veno-Arterial ECMO: A single-center retrospective study
Published 2024“…APACHE-II > 27 (AUC of 0.66), calculated 24 h post-ICU admission after ECMO insertion, showed the greatest predictive ability for mortality. Multivariate logistic regression analysis of the four scores showed that APACHE-II > 27 and SOFA > 14, calculated 24 h post-ICU admission after ECMO insertion, were independently significantly predictive of mortality.…”
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Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM
Published 2022“…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. …”
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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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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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Assessment of PULP score in predicting 30-day perforated duodenal ulcer morbidity, and comparison of its performance with Boey and ASA, a retrospective study
Published 2019“…</p><p><br></p><h3>Conclusion</h3><p dir="ltr">PULP score had the largest AUC and was the only score to significantly predict post PDU repair 30-day morbidity.…”
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Prediction of transportation index for urban patterns in small and medium-sized Indian cities using hybrid RidgeGAN model
Published 2023“…A hybrid framework based on Kernel Ridge Regression (KRR) and the CityGAN model is introduced to predict network density using spatial indicators of human settlements. …”
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A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
Published 2023“…With the Gaussian Process regression for M2, the evaluation metrics for the PG prediction were found to be 10.65%, 86.26 Pa/m, and 0.96 for MAPE, root mean square error, and adjusted coefficient of determination, respectively. …”
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