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S-GPR: Sliding Gaussian Process Regression-based Magnetic Mapping and Evaluation of Different Magnetic Mapping Methods

IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society
Qiyang Lyu   +6 more
openaire   +1 more source

Reliable multi-objective optimization of high-speed WEDM process based on Gaussian process regression

International Journal of Machine Tools and Manufacture, 2008
Kesheng Wang, Minglun Fang
exaly  

Gaussian process regression with skewed errors

Journal of Computational and Applied Mathematics, 2020
Mohammed Shakhatreh
exaly  

Estimation of Multi-Species Leaf Area Index Based on Chinese GF-1 Satellite Data Using Look-Up Table and Gaussian Process Regression Methods

Sensors, 2020
Biwu Chen, Xiuguo Liu, Jian Yang
exaly  

Monthly streamflow forecasting using Gaussian Process Regression

Journal of Hydrology, 2014
X Xu, Alexander Sun, Dingbao Wang
exaly  

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Frontiers of Structural and Civil Engineering, 2013
Jagan J, Pijush Samui, Samui Pijush
exaly  

Online reduced gaussian process regression based generalized likelihood ratio test for fault detection

Journal of Process Control, 2020
exaly  

Using Gaussian Process Regression (GPR) models with the Matérn covariance function to predict the dynamic viscosity and torque of SiO2/Ethylene glycol nanofluid: A machine learning approach.

Eng. Appl. Artif. Intell., 2023
Xiaohong Dai   +8 more
openaire   +1 more source

Developing potential energy surface (PES) surrogates based on the Gaussian process regression (GPR) model using trajectory guided adaptive sampling

Songhao Bao   +3 more
openaire   +1 more source
gaussian process regression
machine learning
13. climate action
7. clean energy
artificial intelligence
prediction
medicine
6. clean water
gpr
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