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GPR

Gaussian Process Regression

Papers

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Showing 201–250 of 270 papers

TitleStatusHype
Towards 3D Metric GPR Imaging Based on DNN Noise Removal and Dielectric Estimation—0
Tractable Data Enriched Distributionally Robust Chance-Constrained CVR—0
Transition States Energies from Machine Learning: An Application to Reverse Water-Gas Shift on Single-Atom Alloys—0
TVG: A Training-free Transition Video Generation Method with Diffusion Models—0
Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach—0
Underground Diagnosis Based on GPR and Learning in the Model Space—0
Underground Mapping and Localization Based on Ground-Penetrating Radar—0
Understanding the effect of hyperparameter optimization on machine learning models for structure design problems—0
Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning—0
What can we learn about Reionization astrophysical parameters using Gaussian Process Regression?—0
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes—0
Integrated Data Analysis of Plasma Electron Density Profile Tomography for HL-3 with Gaussian Process Regression—0
A Bulirsch-Stoer algorithm using Gaussian processes—0
Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function—0
Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space—0
Accurate Tree Roots Positioning and Sizing over Undulated Ground Surfaces by Common Offset GPR Measurements—0
A clustering adaptive Gaussian process regression method: response patterns based real-time prediction for nonlinear solid mechanics problems—0
Active-learning-based non-intrusive Model Order Reduction—0
Active Learning for Saddle Point Calculation—0
Adaptive Local Kernels Formulation of Mutual Information with Application to Active Post-Seismic Building Damage Inference—0
Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression—0
Adaptive Outlier Detection for Power MOSFETs Based on Gaussian Process Regression—0
Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning—0
Adaptive Transfer Learning for Plant Phenotyping—0
A Deep Learning-Based GPR Forward Solver for Predicting B-Scans of Subsurface Objects—0
A Depth-Adaptive Filtering Method for Effective GPR Tree Roots Detection in Tropical Area—0
Advanced technology in railway track monitoring using the GPR Technique: A Review—0
A fast sound power prediction tool for genset noise using machine learning—0
A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options—0
A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking—0
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification—0
Air Quality Prediction - A Study Using Neural Network Based Approach—0
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar—0
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
Anisotropic Mesh Adaptation for Image Representation—0
An LMI Framework for Contraction-based Nonlinear Control Design by Derivatives of Gaussian Process Regression—0
A novel data generation scheme for surrogate modelling with deep operator networks—0
A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model—0
A Novel Shape-Aware Topological Representation for GPR Data with DNN Integration—0
A Parameter Adaptive Trajectory Tracking and Motion Control Framework for Autonomous Vehicle—0
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry—0
Applying Generative Adversarial Networks to Intelligent Subsurface Imaging and Identification—0
A Predictive Chance Constraint Rebalancing Approach to Mobility-on-Demand Services—0
A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method—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
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