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GPR

Gaussian Process Regression

Papers

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Showing 151–175 of 270 papers

TitleStatusHype
Forecasting Monthly Residential Natural Gas Demand Using Just-In-Time-Learning Modeling—0
Frequency-domain Blind Quality Assessment of Blurred and Blocking-artefact Images using Gaussian Process Regression model—0
Gaussian-process-regression-based method for the localization of exceptional points in complex resonance spectra—0
Gaussian Process Regression for Pricing Variable Annuities with Stochastic Volatility and Interest Rate—0
Gaussian Process Regression with Local Explanation—0
Gaze-Sensing LEDs for Head Mounted Displays—0
Global Optimization Networks—0
GPR-based Detection of Voids and Evaluation of Grouting Under Semi-rigid Basement—0
GPR-based Model Reconstruction System for Underground Utilities Using GPRNet—0
GPR-based Subsurface Object Detection and Reconstruction Using Random Motion and DepthNet—0
GPR Full-Waveform Inversion through Adaptive Filtering of Model Parameters and Gradients Using CNN—0
gprHOG and the popularity of Histogram of Oriented Gradients (HOG) for Buried Threat Detection in Ground-Penetrating Radar—0
GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining—0
GPR-Net: Multi-view Layout Estimation via a Geometry-aware Panorama Registration Network—0
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression—0
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis—0
How priors of initial hyperparameters affect Gaussian process regression models—0
Hybrid Fingerprint-based Positioning in Cell-Free Massive MIMO Systems—0
Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics—0
Impact of Information Flow Topology on Safety of Tightly-coupled Connected and Automated Vehicle Platoons Utilizing Stochastic Control—0
Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data—0
Incremental Variational Sparse Gaussian Process Regression—0
Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery—0
Investigating the Capabilities of Deep Learning for Processing and Interpreting One-Shot Multi-offset GPR Data: A Numerical Case Study for Lunar and Martian Environments—0
Iterative Learning Control of Fast, Nonlinear, Oscillatory Dynamics (Preprint)—0
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