
Direct prediction of temperature from time-lapse ERT using Bayesian Evidential Learning : extension to a 4D experiment
- Author
- Thomas Hermans (UGent) , Nicolas Compaire and Nolwenn Lesparre
- Organization
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Poster AGU2018 Hermans.pdf
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8586803
- MLA
- Hermans, Thomas, Nicolas Compaire, and Nolwenn Lesparre. “Direct Prediction of Temperature from Time-lapse ERT Using Bayesian Evidential Learning : Extension to a 4D Experiment.” AGU Fall Meeting, Abstracts. 2018. Print.
- APA
- Hermans, Thomas, Compaire, N., & Lesparre, N. (2018). Direct prediction of temperature from time-lapse ERT using Bayesian Evidential Learning : extension to a 4D experiment. AGU Fall meeting, Abstracts. Presented at the AGU Fall meeting 2018.
- Chicago author-date
- Hermans, Thomas, Nicolas Compaire, and Nolwenn Lesparre. 2018. “Direct Prediction of Temperature from Time-lapse ERT Using Bayesian Evidential Learning : Extension to a 4D Experiment.” In AGU Fall Meeting, Abstracts.
- Chicago author-date (all authors)
- Hermans, Thomas, Nicolas Compaire, and Nolwenn Lesparre. 2018. “Direct Prediction of Temperature from Time-lapse ERT Using Bayesian Evidential Learning : Extension to a 4D Experiment.” In AGU Fall Meeting, Abstracts.
- Vancouver
- 1.Hermans T, Compaire N, Lesparre N. Direct prediction of temperature from time-lapse ERT using Bayesian Evidential Learning : extension to a 4D experiment. AGU Fall meeting, Abstracts. 2018.
- IEEE
- [1]T. Hermans, N. Compaire, and N. Lesparre, “Direct prediction of temperature from time-lapse ERT using Bayesian Evidential Learning : extension to a 4D experiment,” in AGU Fall meeting, Abstracts, Washington, DC, USA, 2018.
@inproceedings{8586803, author = {Hermans, Thomas and Compaire, Nicolas and Lesparre, Nolwenn}, booktitle = {AGU Fall meeting, Abstracts}, language = {eng}, location = {Washington, DC, USA}, title = {Direct prediction of temperature from time-lapse ERT using Bayesian Evidential Learning : extension to a 4D experiment}, year = {2018}, }