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GPR

Gaussian Process Regression

Papers

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Showing 176–200 of 270 papers

TitleStatusHype
Real-Time Asphalt Pavement Layer Thickness Prediction Using Ground-Penetrating Radar Based on a Modified Extended Common Mid-Point (XCMP) Approach—0
Reduced-order modeling for parameterized large-eddy simulations of atmospheric pollutant dispersion—0
Regression-clustering for Improved Accuracy and Training Cost with Molecular-Orbital-Based Machine Learning—0
Lightweight Distributed Gaussian Process Regression for Online Machine Learning—0
Resource Optimization for Tail-Based Control in Wireless Networked Control Systems—0
Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods—0
Robotic Inspection of Underground Utilities for Construction Survey Using a Ground Penetrating Radar—0
Sample-Constrained Black Box Optimization for Audio Personalization—0
SFCW GPR tree roots detection enhancement by time frequency analysis in tropical areas—0
Short-term prediction of photovoltaic power generation using Gaussian process regression—0
Simulation of Turbulent Flow around a Generic High-Speed Train using Hybrid Models of RANS Numerical Method with Machine Learning—0
Slice-Connection Clustering Algorithm for Tree Roots Recognition in Noisy 3D GPR Data—0
Soil analysis with machine-learning-based processing of stepped-frequency GPR field measurements: Preliminary study—0
Solar photovoltaic power prediction using different machine learning methods—0
Sparse discovery of differential equations based on multi-fidelity Gaussian process—0
Spatiotemporal Prediction of Ambulance Demand using Gaussian Process Regression—0
Spectral band selection for vegetation properties retrieval using Gaussian processes regression—0
Spectral-Bias and Kernel-Task Alignment in Physically Informed Neural Networks—0
Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression—0
Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification—0
Tensor Basis Gaussian Process Models of Hyperelastic Materials—0
The impact of external uncertainties on the extreme return connectedness between food, fossil energy, and clean energy markets—0
The loss of the property of locality of the kernel in high-dimensional Gaussian process regression on the example of the fitting of molecular potential energy surfaces—0
The Orientation Estimation of Elongated Underground Objects via Multi-Polarization Aggregation and Selection Neural Network—0
Time Series Forecasting Using Manifold Learning—0
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