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Identification of release sources in advection-diffusion system by
  machine learning combined with Green function inverse method
v1v2v3 (latest)

Identification of release sources in advection-diffusion system by machine learning combined with Green function inverse method

12 December 2016
V. Stanev
Filip L. Iliev
Scott Hansen
V. Vesselinov
Boian S. Alexandrov
ArXiv (abs)PDFHTML

Papers citing "Identification of release sources in advection-diffusion system by machine learning combined with Green function inverse method"

5 / 5 papers shown
Title
Generating Hidden Markov Models from Process Models Through Nonnegative
  Tensor Factorization
Generating Hidden Markov Models from Process Models Through Nonnegative Tensor Factorization
E. Skau
A. Hollis
S. Eidenbenz
Kim Ø. Rasmussen
Boian Alexandrov
78
2
0
03 Oct 2022
Identification of Anomalous Diffusion Sources by Unsupervised Learning
Identification of Anomalous Diffusion Sources by Unsupervised Learning
Raviteja Vangara
Kim Ø. Rasmussen
D. Petsev
G. Bel
Boian S. Alexandrov
51
7
0
05 Oct 2020
Parametric generation of conditional geological realizations using
  generative neural networks
Parametric generation of conditional geological realizations using generative neural networks
Shing Chan
A. Elsheikh
OODGANAI4CE
135
101
0
13 Jul 2018
Unsupervised Machine Learning Based on Non-Negative Tensor Factorization
  for Analyzing Reactive-Mixing
Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing
V. Vesselinov
M. Mudunuru
S. Karra
Daniel O’Malley
B. S. Alexandrov
51
42
0
16 May 2018
Unsupervised Phase Mapping of X-ray Diffraction Data by Nonnegative
  Matrix Factorization Integrated with Custom Clustering
Unsupervised Phase Mapping of X-ray Diffraction Data by Nonnegative Matrix Factorization Integrated with Custom Clustering
V. Stanev
V. Vesselinov
A. Kusne
Graham Antoszewski
Takeuchi
Boian S. Alexandrov
75
94
0
20 Feb 2018
1