Results 91 to 100 of about 16,703 (255)
, 2023 The prediction of energy consumption is of great significance to the stability of the regional energy supply. In previous research on energy consumption forecasting, researchers have constantly proposed improved neural network prediction models or ...
Tao Deng +4 more
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Påverkan av LightGBM-hyperparametrar på Klassobalans
Class imbalance is a common problem in Machine Learning (ML) that introduces bias during the training phase of ML models, compromising their accuracy and reliability.
Caballero Castro, Joan
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Wind Speed Multi-Mode Ensemble Forecasting for Wind Farms Based on Machine Learning
南方能源建设[Introduction] With the extensive construction of wind farms, the combination of researches on different machine learning algorithms and meteorological forecasting modes has received widespread attention.
Sheng GAO, Peihua XU, Zhenghong CHEN
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Journal of the Science of Food and Agriculture, EarlyView.Abstract BACKGROUND The present study aimed to develop and validate quantitative structure–property relationship (QSPR) models for predicting permeability related bioavailability indicators including apparent permeability (Papp), trans‐epithelial electrical resistance (TEER) and efflux ratio (ER) based on molecular descriptors (n = 5003) of 83 ...
Jin‐Woo Kim +5 more
wiley +1 more source
LightGBM hybrid model based DEM correction for forested areas.
The accuracy of digital elevation models (DEMs) in forested areas plays a crucial role in canopy height monitoring and ecological sensitivity analysis. Despite extensive research on DEMs in recent years, significant errors still exist in forested areas ...
Dong Wang +4 more
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Lithium Battery SOH Estimation Based on Manifold Learning and LightGBM
, 2023 In order to accurately identify the state of health (SOH) and remaining useful life (RUL) of lithium-ion batteries, this paper proposes an SOH estimation algorithm for lithium-ion batteries based on stream learning and LightGBM. To address the problem of
Jun Yin, Mei Zhang, Tao Feng
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Mass Spectrometry Reviews, EarlyView.ABSTRACT Nitrooxidative stress, driven by excess reactive nitrogen species like peroxynitrite, contributes to the pathogenesis of many chronic diseases. Among its molecular footprints, 3‐nitrotyrosine (3NT) has emerged as a biologically relevant marker of protein nitration.
Brîndușa Alina Petre
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Identification of weld sub-surface defects by radiographic images using texture features [PDF]
E3S Web of ConferencesNon-Destructive Testing (NDT) is important to detect sub-surface defects in the weldments to ensure the quality of weld joints. The weld radiographs are digitized using a high-resolution digital camera.
Ramana E.V. +2 more
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Med Research, EarlyView.This study developed and externally validated a questionnaire‐based household risk model to identify families with multiple Helicobacter pylori infections. Using only noninvasive, readily available household information, the model showed good discrimination and enabled a family‐based screening strategy that substantially improved detection efficiency ...
Yifan Qiu +9 more
wiley +1 more source
Predicting the SP500 Index Trend Based on GBDT and LightGBM Methods
, 2020 Algorithms that are previously difficult to implement have been successfully applied in different fields because of hardware development. Quantitative investment has the characteristics of rationality and efficiency and has obvious advantages over ...
Ma shangchen
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