يعرض 21 - 40 نتائج من 172 نتيجة بحث عن '(( significant ((teer decrease) OR (greater decrease)) ) OR ( significant predicting regression ))', وقت الاستعلام: 0.12s تنقيح النتائج
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    Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context حسب SALIM, MAHA JAWDAT

    منشور في 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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    Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning حسب Ahmad K. Sleiti (15955149)

    منشور في 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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    Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment حسب Ikhlas Ghiat (16932564)

    منشور في 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 حسب Suraj Sudarsanan (20090727)

    منشور في 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 حسب Tadesse G. Wakjira (14779165)

    منشور في 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 حسب Ali M. Alodat (22508036)

    منشور في 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 حسب Hassan Farhat (9000509)

    منشور في 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 حسب Tamer Saafan (14151819)

    منشور في 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 حسب Thottolil, Rahisha

    منشور في 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 حسب Md Ferdous Wahid (13485799)

    منشور في 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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    Inflammatory biomarkers as predictors for unlocking antidepressant efficacy: Assessing predictive value and risk stratification in major depressive disorder in a prospective longit... حسب Nervana Elbakary (21480140)

    منشور في 2025
    "…<h3>Background</h3><p dir="ltr">Major depressive disorder (MDD) is characterized by significant heterogeneity in treatment response, with inflammation hypothesized to play a role in its pathophysiology. …"