Dmitry S. Efremenko
Orcid: 0000-0002-7449-5072
According to our database1,
Dmitry S. Efremenko authored at least 14 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Application of Physics-Informed Neural Networks for Solving the Inverse Advection-Diffusion Problem to Localize Pollution Sources.
CoRR, March, 2025
Physics-Constrained Bayesian Neural Networks for Aerosol Retrieval From Hyperspectral Satellite Measurements With Integrated Uncertainty Quantification.
IEEE Trans. Geosci. Remote. Sens., 2025
2022
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Scaling transformation of the multimode nonlinear Schrödinger equation for physics-informed neural networks.
CoRR, 2022
2021
A Proof-of-Concept Algorithm for the Retrieval of Total Column Amount of Trace Gases in a Multi-Dimensional Atmosphere.
Remote. Sens., 2021
An Overview of Neural Network Methods for Predicting Uncertainty in Atmospheric Remote Sensing.
Remote. Sens., 2021
Fast Hyper-Spectral Radiative Transfer Model Based on the Double Cluster Low-Streams Regression Method.
Remote. Sens., 2021
2020
Model Selection in Atmospheric Remote Sensing with an Application to Aerosol Retrieval from DSCOVR/EPIC, Part 1: Theory.
Remote. Sens., 2020
Model Selection in Atmospheric Remote Sensing with Application to Aerosol Retrieval from DSCOVR/EPIC. Part 2: Numerical Analysis.
Remote. Sens., 2020
A Spectral Acceleration Approach for the Spherical Harmonics Discrete Ordinate Method.
Remote. Sens., 2020
Cluster Low-Streams Regression Method for Hyperspectral Radiative Transfer Computations: Cases of O2 A- and CO2 Bands.
Remote. Sens., 2020
2019
Improvement of EPIC/DSCOVR Image Registration by Means of Automatic Coastline Detection.
Remote. Sens., 2019
2014
Multi-core-CPU and GPU-accelerated radiative transfer models based on the discrete ordinate method.
Comput. Phys. Commun., 2014