Results 21 to 30 of about 65,886 (196)
Diagnostics, 2023 The COVID-19 virus is one of the most devastating illnesses humanity has ever faced. COVID-19 is an infection that is hard to diagnose until it has caused lung damage or blood clots.
Abdulaziz AlMohimeed +5 more
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Prediction of Flight Delays at Beijing Capital International Airport Based on Ensemble Methods
Applied Sciences, 2022 Predicting flight delays plays a critical role in reducing financial losses and increasing passenger satisfaction. Due to their ability to combine multiple algorithms, ensemble methods have demonstrated strong predictive performance in many research ...
Xunuo Wang +3 more
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Stacked Ensemble for Bioactive Molecule Prediction [PDF]
IEEE Access, 2019 Bioactive molecular compounds are essential for drug discovery. The biological activity of these compounds needs to be predicted as this is used to determine the drug-target ability. As ineffective drugs are discarded after production, leading to resource and time wastage, it is important to predict bioactive molecules with models having high ...
Olutomilayo Olayemi Petinrin +1 more
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EEG-Based Emotion Classification Using Stacking Ensemble Approach
Sensors, 2022 Rapid advancements in the medical field have drawn much attention to automatic emotion classification from EEG data. People’s emotional states are crucial factors in how they behave and interact physiologically. The diagnosis of patients’ mental disorders is one potential medical use.
Subhajit Chatterjee, Yung-Cheol Byun
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GIScience & Remote Sensing, 2020 The reliable and robust monitoring of air temperature distribution is essential for urban thermal environmental analysis. In this study, a stacking ensemble model consisting of multi-linear regression (MLR), support vector regression (SVR), and random ...
Dongjin Cho +4 more
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Machine Learning-Based Prediction of Air Quality
Applied Sciences, 2020 Air, an essential natural resource, has been compromised in terms of quality by economic activities. Considerable research has been devoted to predicting instances of poor air quality, but most studies are limited by insufficient longitudinal data ...
Yun-Chia Liang +3 more
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Journal of Dairy Science, 2022 : Cheese-making traits in dairy cattle are important to the dairy industry but are difficult to measure at the individual level because there are limitations on collecting phenotypic information.
Lucio F.M. Mota +9 more
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Detecting gravitational waves from highly eccentric compact binaries [PDF]
, 2014 In dense stellar regions, highly eccentric binaries of black holes and neutron stars can form through various n-body interactions. Such a binary could emit a significant fraction of its binding energy in a sequence of largely isolated gravitational wave ...
McWilliams, Sean T. +2 more
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Structural ultrafast dynamics of macromolecules: diffraction of free DNA and effect of hydration [PDF]
, 2009 Of special interest in molecular biology is the study of structural and conformational changes which are free of the additional effects of the environment.
Lin, Milo M. +2 more
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Application of tree based enhanced stacking ensemble learning
SSRN Electronic Journal, 2022 Abstract Since it is difficult for machine learning algorithms, such as XGBoost, LightGBM, to extract feature interaction effectively and deep learning algorithms have high time complexity, a tree enhanced stacking integrated model is proposed in this paper, based on tree model feature generation theory and convolutional neural network(CNN ...
Xiaofei Xu, Wu Yonghong
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