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Gaussian Process Regression
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Showing 231–240 of 270 papers
Title
Date
Tasks
Status
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A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification
May 13, 2022
GPR
regression
—
Unverified
0
0
Air Quality Prediction - A Study Using Neural Network Based Approach
Dec 26, 2022
GPR
—
Unverified
0
0
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar
Mar 10, 2018
GPR
—
Unverified
0
0
A machine learning approach to the prediction of heat-transfer coefficients in micro-channels
May 28, 2023
GPR
regression
—
Unverified
0
0
A Multi-output Gaussian Process Regression with Negative Transfer Mitigation for Generating Boundary Test Scenarios of Multi-UAV Systems
May 28, 2025
GPR
—
Unverified
0
0
Analysis of Greenhouse Gases
Mar 21, 2020
GPR
regression
—
Unverified
0
0
An Improved Convolutional Neural Network System for Automatically Detecting Rebar in GPR Data
Jul 23, 2019
GPR
—
Unverified
0
0
An Innovative Approach to Determine Rebar Depth and Size by Comparing GPR Data with a Theoretical Database
May 19, 2020
GPR
—
Unverified
0
0
Anisotropic Mesh Adaptation for Image Representation
Feb 20, 2014
GPR
Image Reconstruction
—
Unverified
0
0
An LMI Framework for Contraction-based Nonlinear Control Design by Derivatives of Gaussian Process Regression
Jan 20, 2023
GPR
regression
—
Unverified
0
0
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