Results 171 to 180 of about 4,489 (189)

An Approach Based on Finite Element Analysis (Fea) and Gaussian Process Regression (Gpr) for the Three-Phase Dry-Type Transformer Core Loss Estimation

SSRN Electronic Journal, 2023
Muhammet Fatih ASLAN, Seda Kul, Suleyman Sungur Tezcan   +2 more
openaire   +1 more source

Data-Drive Site Characterization for Benchmark Examples: Sparse Bayesian Learning versus Gaussian Process Regression

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 2023
Jianye Ching, Ikumasa Yoshida, Yoshida Ikumasa   +2 more
exaly  

Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression

Remote Sensing, 2022
Jochem Verrelst, Vanessa Paredes Gomez, Luca Pipia   +2 more
exaly  

GPR-GSLAM: Gaussian Process Regression-Enhanced Real-Time RGB-D SLAM Using Gaussian Splatting

IEEE Robotics and Automation Letters
Xinlong Qi, Yan Zhang 0155, Hongyong Fu, Lu Zhang 0087, Xiaoxiao Guo, Xinyuan Jiang   +5 more
openaire   +1 more source

Bias adjustment of satellite rainfall data through Gaussian process regression (GPR) based on rain intensity classification in the Greater Bay Area, China

Theoretical and Applied Climatology, 2023
Xue Li, Yangbo Chen, Yueyuan Zhang, Lingfang Chen   +3 more
openaire   +1 more source

Inference and computation for Gaussian process regression (GPR) model

2011
openaire   +1 more source

Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine

Remote Sensing, 2021
Jochem Verrelst, Luca Pipia, Santiago Belda   +2 more
exaly  

Gaussian Process Regression (GPR) Forecasting Electricity Consumption for Mascara City

2024 International Conference of the African Federation of Operational Research Societies (AFROS)
I.D.E. Gherib, M. Aichouba, B. Alik, F. Kherbouche, M. Teguar   +4 more
openaire   +1 more source

Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general method

Computer Physics Communications, 2022
Sergei Manzhos, Manabu Ihara
exaly  

Predicting the Effect of Plasma Treatment on the Fading of Sulphur-Dyed Cotton Fabric Using Bayesian Regulated Neural Network (BRNN) and Gaussian Process Regression (GPR)

Fibers and Polymers, 2023
Senbiao Liu, Yaohui Keane Liu, Kwan-yu Chris Lo, Chi-wai Kan   +3 more
openaire   +1 more source