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prediction based » detection based (Expand Search)
decrease » increase (Expand Search)
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Follow up and comparative assessment of IgG, IgA, and neutralizing antibody responses to SARS-CoV-2 between mRNA-vaccinated naïve and unvaccinated naturally infected individuals ov...
Published 2023“…At the 7th month, there was a significant decline in antibody responses among VN individuals, but not NI individuals, with a minimum decrease of 3.7-fold (p < 0.001). …”
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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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Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM
Published 2022“…The predicted flexural and load capacities of the beams based on the existing analytical models are highly scattered and either over-conservative or unsafe. …”
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84
Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
Published 2019“…Data generated from an oral glucose tolerance test (OGTT) was used to develop a predictive model based on the support vector machine (SVM). …”
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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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86
Development and Validation of the Motivation for Tutoring Questionnaire in Problem-Based Learning Programs
Published 2017“…In addition, tutoring efficacy scores significantly increased by years of tutoring experience and predicted 38% of the variance in self-rated tutoring skills scores. …”
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Rayyan—a web and mobile app for systematic reviews
Published 2016“…The “suggestions” and “hints,” based on the “prediction model,” appeared as testing progressed beyond five included studies. …”
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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“…This study proposes a hybrid scheme where two machine-learning (ML) models are coupled in a series to predict the PG value without any conclusive FP information. …”
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The effect of Ramadan focused education on patients with type 2 diabetes: A systematic review and meta-analysis
Published 2020“…</p><h3>Conclusions</h3><p dir="ltr">This systematic review and meta-analysis shows that Ramadan-focused diabetes education leads to a decrease in HbA1c and LDL, but an increase in TG and weight during Ramadan. …”
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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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Anomaly Detection Based Framework for Profile Monitoring
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Follow up and comparative assessment of IgG, IgA, and neutralizing antibody responses to SARS-CoV-2 between mRNA-vaccinated naïve and unvaccinated naturally infected individuals ov...
Published 2023“…At the 7th month, there was a significant decline in antibody responses among VN individuals, but not NI individuals, with a minimum decrease of 3.7-fold (p < 0.001). …”
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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
Published 2023“…</p><h3> Results</h3><p dir="ltr">The multivariate linear regression showed that the increase in PIU (β = −0.231, p < 0.001) and smartphone usage two hours before sleep (β = −0.246, p < 0.001) led to decrease in sleep duration. 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. …”
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Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics
Published 2023“…This paper proposes a novel deep learning-based approach to predict 3D GRF&M from only 5 markers placed on the shoe. …”
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Self-Perceived performance-based training needs among middle-level nursing managers in Jordan
Published 2023“…In addition, age, gender, prior training in nursing management, and years of experience as middle-level nurse managers significantly predicted the levels of training needed (R2 = 0.23, P < 0.001).…”
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Machine Learning-Based Approach for EV Charging Behavior
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ECP: Error-Aware, Cost-Effective and Proactive Network Slicing Framework
Published 2024“…Specifically, our method utilizes historical load data per service and employs AI-based forecasts for service load prediction. Subsequently, it employs a Deep Reinforcement Learning (DRL) agent on O-RAN’s virtual Control Unit (vCU) and virtual Distributed unit (vDU) to correct errors in prediction and optimize the cost of slice allocation based on service KPI requirements, ultimately pre-allocating future network slices at reduced costs. …”