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Gaussian Process Regression
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Showing 241–250 of 270 papers
Title
Date
Tasks
Status
Hype
Score
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
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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
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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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