Ghent University Academic Bibliography

Show Sort by

Your filters: cql: author="Nguyen, Frédéric" or (type any "bookEditor journalEditor issueEditor" and editor="Nguyen,...

Add to list
- Journal Article
- open access
Integrated methodology to link geochemical and geophysical-lab data in a geophysical investigation of a slag heap for resource quantification

Itzel Isunza Manrique, Thomas Hermans (UGent) , David Caterina, Damien Jougnot, Benoît Mignon, Antoine Masse and Frédéric Nguyen

(2024) Journal of Environmental Management. 349.
Add to list
- Journal Article
- A1
- open access
Advancing measurements and representations of subsurface heterogeneity and dynamic processes: towards 4D hydrogeology

Thomas Hermans (UGent) , Pascal Goderniaux, Damien Jougnot, Jan H. Fleckenstein, Philip Brunner, Frédéric Nguyen, Niklas Linde, Johan Alexander Huisman, Olivier Bour, Jorge Lopez Alvis, et al.

(2023) HYDROLOGY AND EARTH SYSTEM SCIENCES. 27(1). p.255-287
Add to list
- Journal Article
- A1
- open access
Quantitative interpretation of geoelectric inverted data with a robust probabilistic approach

Itzel Isunza Manrique, David Caterina, Frederic Nguyen and Thomas Hermans (UGent)

(2023) GEOPHYSICS. 88(3). p.KS73-KS88
Add to list
- Journal Article
- A1
- open access
Iterative prior resampling and rejection sampling to improve 1-D geophysical imaging based on Bayesian evidential learning (BEL1D)

Hadrien Michel (UGent) , Thomas Hermans (UGent) and Frédéric Nguyen

(2022) GEOPHYSICAL JOURNAL INTERNATIONAL. 232(2). p.958-974
Add to list
- Journal Article
- A1
- open access
Geophysical inversion uing a variational autoencoder to model an assembled spatial prior uncertainty

Jorge Lopez Alvis, Frédéric Nguyen, Majke. C. Looms and Thomas Hermans (UGent)

(2022) JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH. 127(3).
Add to list
- Journal Article
- A1
- open access
Groundwater salinization and freshening processes in the Luy River coastal aquifer, Vietnam

Linh Pham Dieu (UGent) , Diep Cong-Thi (UGent) , Tom Segers, Huu Hieu Ho, Frédéric Nguyen and Thomas Hermans (UGent)

(2022) WATER. 14(15).
Add to list
- Conference Paper
- C1
- open access
Using a variational autoencoder and geologically-consistent transformations to model spatial prior information for geophysical inversion

Jorge Lopez Alvis, Frédéric Nguyen, Majken C. Looms and Thomas Hermans (UGent)

(2021) SEG Global Meeting Abstracts. p.87-90
Add to list
- Conference Paper
- C3
- open access
Imaging the subsurface to inform hydrological models : a geophysicist's perspective

Thomas Hermans (UGent) , Hadrien Michel (UGent) , Jorge Lopez Alvis and Frédéric Nguyen

(2021) EGU General Assembly 2021, Abstracts.
Add to list
Deep generative models in inversion : the impact of the generator's nonlinearity and development of a new approach based on a variational autoencoder

Jorge Lopez Alvis, Eric Laloy, Frédéric Nguyen and Thomas Hermans (UGent)

(2021) COMPUTERS & GEOSCIENCES. 152.
Add to list
A new workflow to incorporate prior information in minimum gradient support (MGS) inversion of electrical resistivity and induced polarization data

Robin Thibaut (UGent) , Thomas Kremer, Annie Royen, Bun Kim Ngun, Frédéric Nguyen and Thomas Hermans (UGent)

(2021) JOURNAL OF APPLIED GEOPHYSICS. 187.

Academic Bibliography

Integrated methodology to link geochemical and geophysical-lab data in a geophysical investigation of a slag heap for resource quantification

Advancing measurements and representations of subsurface heterogeneity and dynamic processes: towards 4D hydrogeology

Quantitative interpretation of geoelectric inverted data with a robust probabilistic approach

Iterative prior resampling and rejection sampling to improve 1-D geophysical imaging based on Bayesian evidential learning (BEL1D)

Geophysical inversion uing a variational autoencoder to model an assembled spatial prior uncertainty

Groundwater salinization and freshening processes in the Luy River coastal aquifer, Vietnam

Using a variational autoencoder and geologically-consistent transformations to model spatial prior information for geophysical inversion

Imaging the subsurface to inform hydrological models : a geophysicist's perspective

Deep generative models in inversion : the impact of the generator's nonlinearity and development of a new approach based on a variational autoencoder

A new workflow to incorporate prior information in minimum gradient support (MGS) inversion of electrical resistivity and induced polarization data

Contents

Support

Contact