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GPR
Gaussian Process Regression
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Showing 226–250 of 270 papers
Title
Date
Tasks
Status
Hype
Score
A Depth-Adaptive Filtering Method for Effective GPR Tree Roots Detection in Tropical Area
May 30, 2023
GPR
—
Unverified
0
0
Advanced technology in railway track monitoring using the GPR Technique: A Review
Jan 19, 2025
GPR
—
Unverified
0
0
A fast sound power prediction tool for genset noise using machine learning
May 26, 2025
GPR
Marketing
—
Unverified
0
0
A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options
Nov 13, 2023
Gaussian Processes
GPR
—
Unverified
0
0
A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking
Nov 25, 2022
Gaussian Processes
GPR
—
Unverified
0
0
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
A novel data generation scheme for surrogate modelling with deep operator networks
Feb 24, 2024
GPR
Operator learning
—
Unverified
0
0
A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model
Feb 18, 2021
BIG-bench Machine Learning
feature selection
—
Unverified
0
0
A Novel Shape-Aware Topological Representation for GPR Data with DNN Integration
May 26, 2025
GPR
object-detection
—
Unverified
0
0
A Parameter Adaptive Trajectory Tracking and Motion Control Framework for Autonomous Vehicle
Nov 25, 2024
Autonomous Vehicles
Bayesian Optimization
—
Unverified
0
0
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry
Nov 19, 2020
Deep Learning
Generative Adversarial Network
—
Unverified
0
0
Applying Generative Adversarial Networks to Intelligent Subsurface Imaging and Identification
May 30, 2019
General Classification
GPR
—
Unverified
0
0
A Predictive Chance Constraint Rebalancing Approach to Mobility-on-Demand Services
Sep 7, 2022
GPR
Model Predictive Control
—
Unverified
0
0
A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method
Jan 27, 2022
Bayesian Inference
GPR
—
Unverified
0
0
Assesment of material layers in building walls using GeoRadar
Aug 25, 2022
GPR
—
Unverified
0
0
Automated Translation of Rebar Information from GPR Data into As-Built BIM: A Deep Learning-based Approach
Oct 28, 2021
GPR
Translation
—
Unverified
0
0
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