Results 1 to 10 of about 21,889 (252)
An Improved LightGBM Algorithm for Online Fault Detection of Wind Turbine Gearboxes
Energies, 2020 It is widely accepted that conventional boost algorithms are of low efficiency and accuracy in dealing with big data collected from wind turbine operations.
Bin Huang, Steven Ding, Mingzhu Tang
exaly +3 more sources
Prediction of Ship's Speed Through Ground Using the Previous Voyage's Drift Speed [PDF]
TransNav, 2023 In recent years, 'weather routing' has been attracting increasing attention as a means of reducing costs and environmental impact. In order to achieve high-quality weather routing, it is important to accurately predict the ship's speed through ground ...
Daiki Yamane, Toshiyuki Kano
doaj +1 more source
Frontiers in Earth Science, 2023 The shear wave velocity (Vs) is significant for quantitative seismic interpretation. Although numerous studies have proved the effectiveness of the machine learning method in estimating the Vs using well-logging parameters, the real-world application is ...
Tianze Zhang +5 more
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Implementation of LightGBM and Random Forest in Potential Customer Classification
TIERS Information Technology Journal, 2023 Classification is one of the data mining techniques that can be used to determine potential custumers. Previous research show that the boosting method, especially LGBM, produces the highest accuracy value of all models, namely 100%.
Laura Sari +3 more
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Atmosphere, 2023 The atmospheric environment is of great importance to human health. However, its influencing factors are complex and variable. An efficient technique is required to more precisely estimate PM2.5 concentration values.
Xuehu Liu +3 more
doaj +1 more source
Human action recognition method based on multi-view semi-supervised ensemble learning
网络与信息安全学报, 2021 Mass labeled data are hard to get in mobile devices. Inadequate training leads to bad performance of classifiers in human action recognition. To tackle this problem, a multi-view semi-supervised ensemble learning method was proposed.
CHEN Shengnan, FAN Xinmin
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Automatic identification of forest species using machine learning methods based on satellite image processing [PDF]
Известия Саратовского университета. Новая серия: Серия Науки о ЗемлеMonitoring of the condition and species diversity of tree species plays a significant role in the forest resource management. The emergence of high-quality multispectral satellite images opens up opportunities for using information about vegetation in a ...
Ogneva, Marina V. +3 more
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Pressure Drop Prediction in Fluidized Dense Phase Pneumatic Conveying using Machine Learning Algorithms [PDF]
Journal of Applied Fluid Mechanics, 2023 Modeling of pressure drop in fluidized dense phase conveying (FDP) of powders is a tough work as the flow comprises of various interactions among solid, gas and pipe wall. It is difficult to incorporate these interactions into a model.
J. s. Shijo, N. Behera
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LIGHT GRADIENT BOOSTING MACHINE FOR OPTIMIZING CROP MAINTENANCE AND YIELD PREDICTION IN AGRICULTURE [PDF]
ICTACT Journal on Soft ComputingIn agriculture, optimizing crop yield and maintenance practices is essential for ensuring food security and sustainable farming. Traditional approaches often lack the efficiency needed to process large agricultural datasets and accurately predict yield ...
Sunil Kumar +3 more
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Ensemble machine learning approaches for fake news classification
Радіоелектронні і комп'ютерні системи, 2023 In today’s interconnected digital landscape, the proliferation of fake news has become a significant challenge, with far-reaching implications for individuals, institutions, and societies.
Halyna Padalko +3 more
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