Véronique M. Gomes

Orcid: 0000-0002-1281-4760

According to our database1, Véronique M. Gomes authored at least 7 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Application of Hyperspectral Imaging and Deep Learning for Robust Prediction of Sugar and pH Levels in Wine Grape Berries.
Sensors, 2021

Towards robust Machine Learning models for grape ripeness assessment.
Proceedings of the 18th International Joint Conference on Computer Science and Software Engineering, 2021

2018
Using Support Vector Regression and Hyperspectral Imaging for the Prediction of Oenological Parameters on Different Vintages and Varieties of Wine Grape Berries.
Remote. Sens., 2018

Applying aggregation and pre-aggregation functions in the classification of grape berries.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
Comparison of different approaches for the prediction of sugar content in new vintages of whole Port wine grape berries using hyperspectral imaging.
Comput. Electron. Agric., 2017

2014
Determination of sugar content in whole Port Wine grape berries combining hyperspectral imaging with neural networks methodologies.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

2012
Development of Generalized Platforms for the Analysis of Complex Datasets.
Qual. Reliab. Eng. Int., 2012


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