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GPR

Gaussian Process Regression

Papers

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Showing 26–50 of 270 papers

TitleStatusHype
A machine learning approach to the prediction of heat-transfer coefficients in micro-channels—0
A Multi-output Gaussian Process Regression with Negative Transfer Mitigation for Generating Boundary Test Scenarios of Multi-UAV Systems—0
Analysis of Greenhouse Gases—0
An Improved Convolutional Neural Network System for Automatically Detecting Rebar in GPR Data—0
An Innovative Approach to Determine Rebar Depth and Size by Comparing GPR Data with a Theoretical Database—0
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar—0
Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression—0
Air Quality Prediction - A Study Using Neural Network Based Approach—0
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification—0
Adaptive Local Kernels Formulation of Mutual Information with Application to Active Post-Seismic Building Damage Inference—0
Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function—0
Integrated Data Analysis of Plasma Electron Density Profile Tomography for HL-3 with Gaussian Process Regression—0
Active Learning for Saddle Point Calculation—0
A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking—0
A Bulirsch-Stoer algorithm using Gaussian processes—0
A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method—0
A Predictive Chance Constraint Rebalancing Approach to Mobility-on-Demand Services—0
Assesment of material layers in building walls using GeoRadar—0
Automated Translation of Rebar Information from GPR Data into As-Built BIM: A Deep Learning-based Approach—0
Automatic Classification of Irregularly Sampled Time Series with Unequal Lengths: A Case Study on Estimated Glomerular Filtration Rate—0
Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels—0
Bayesian full waveform inversion with sequential surrogate model refinement—0
Bayesian inversion of GPR waveforms for sub-surface material characterization: an uncertainty-aware retrieval of soil moisture and overlaying biomass properties—0
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR—0
A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options—0
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