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GPR

Gaussian Process Regression

Papers

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Showing 126–150 of 270 papers

TitleStatusHype
Accurate Tree Roots Positioning and Sizing over Undulated Ground Surfaces by Common Offset GPR Measurements—0
Learning to Remove Clutter in Real-World GPR Images Using Hybrid Data—0
Dual-Cross-Polarized GPR Measurement Method for Detection and Orientation Estimation of Shallowly Buried Elongated Object—0
DMRF-UNet: A Two-Stage Deep Learning Scheme for GPR Data Inversion under Heterogeneous Soil ConditionsCode1
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification—0
JGPR: a computationally efficient multi-target Gaussian process regression algorithmCode0
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis—0
Time Series Prediction by Multi-task GPR with Spatiotemporal Information TransformationCode0
Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space—0
Active-learning-based non-intrusive Model Order Reduction—0
SFCW GPR tree roots detection enhancement by time frequency analysis in tropical areas—0
PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations—0
Impact of Information Flow Topology on Safety of Tightly-coupled Connected and Automated Vehicle Platoons Utilizing Stochastic Control—0
GiNGR: Generalized Iterative Non-Rigid Point Cloud and Surface Registration Using Gaussian Process RegressionCode1
Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effectsCode0
Slice-Connection Clustering Algorithm for Tree Roots Recognition in Noisy 3D GPR Data—0
Multi-model Ensemble Analysis with Neural Network Gaussian Processes—0
Convolutional Neural Networks on Graphs with Chebyshev Approximation, RevisitedCode1
Global Optimization Networks—0
A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method—0
Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression—0
Adaptive Outlier Detection for Power MOSFETs Based on Gaussian Process Regression—0
Estimating the Direction and Radius of Pipe from GPR Image by Ellipse Inversion Model—0
Adaptive Transfer Learning for Plant Phenotyping—0
Estimating Parameters of the Tree Root in Heterogeneous Soil Environments via Mask-Guided Multi-Polarimetric Integration Neural Network—0
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