Véronique Medeiros Gomes Full Member

BIO

Name: Véronique Medeiros Gomes

Aggregation: Full Member

Science ID:

Orcid ID: https://orcid.org/0000-0002-1281-4760

Email: veroniquegomes@gmail.com

Publications

Application of Hyperspectral Imaging and Deep Learning for Robust Prediction of Sugar and pH Levels in Wine Grape Berries.
Gomes, V. ; Mendes-Ferreira, A. ; Pedro Melo-Pinto, P. (2021) Application of Hyperspectral Imaging and Deep Learning for Robust Prediction of Sugar and pH Levels in Wine Grape Berries. Sensors 21 (3459) :2-19. doi: 10.3390/s21103459. (Impact factor, Quartile: 3.576, Q1).

Determination of Sugar, pH, and Anthocyanin Contents in Port Wine Grape Berries through Hyperspectral Imaging: An Extensive Comparison of Linear and Non-Linear Predictive Methods.
Gomes, V. ; Rendall, R. ; Reis, M.S. ; Mendes-Ferreira, A. ; Melo-Pinto, P. (2021) Determination of Sugar, pH, and Anthocyanin Contents in Port Wine Grape Berries through Hyperspectral Imaging: An Extensive Comparison of Linear and Non-Linear Predictive Methods. Applied Sciences 11 (10319) :25. doi: 10.3390/app112110319. (Impact factor, Quartile: 2.679, Q3).

Prediction of Sugar Content in PortWine Vintage Grapes Using Machine Learning and Hyperspectral Imaging.
Gomes, V.; Reis, M. S.; Rovira-Mas, F.; Mendes-Ferreira, A.; Melo-Pinto, P. (2021) Prediction of Sugar Content in PortWine Vintage Grapes Using Machine Learning and Hyperspectral Imaging. PROCESSES 9 :1241. doi: 10.3390/pr9071241. (Impact factor, Quartile: 2.847, Q3).

A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part II-Assessing Detection Speed.
Rato, Tiago J.; Rendall, Ricardo; Gomes, Veronique; Saraiva, Pedro M.; Reis, Marco S. (2018) A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part II-Assessing Detection Speed. Industrial & Engineering Chemistry Research 57 (15) :5338-5350. doi: 10.1021/acs.iecr.7b0411. (Impact factor, Quartile: 3.141, Q1).

Using Support Vector Regression and Hyperspectral Imaging for the Prediction of Oenological Parameters on Different Vintages and Varieties of Wine Grape Berries.
Silva, Rui; Gomes, Veronique; Mendes-Faia, Arlete; Melo-Pinto, Pedro (2018) Using Support Vector Regression and Hyperspectral Imaging for the Prediction of Oenological Parameters on Different Vintages and Varieties of Wine Grape Berries. Remote Sensing 10 (2). doi: 10.3390/rs10020312. (Impact factor, Quartile: 3.406, Q2).

Characterization of neural network generalization in the determination of pH and anthocyanin content of wine grape in new vintages and varieties.
Gomes, V, Fernandes, A, Martins-Lopes, P, Pereira, L, Faia, AM, Melo-Pinto, P (2017) Characterization of neural network generalization in the determination of pH and anthocyanin content of wine grape in new vintages and varieties. Food Chemisry 218 :40-46. ISSN: 0308-8146. doi: 10.1016/j.foodchem.2016.09.024. (Impact factor, Quartile: 4.529, Q1).

Comparison of different approaches for the prediction of sugar content in new vintages of whole Port wine grape berries using hyperspectral imaging.
Gomes, VM, Fernandes, AM, Faia, A, Melo-Pinto, P (2017) Comparison of different approaches for the prediction of sugar content in new vintages of whole Port wine grape berries using hyperspectral imaging. Computers And Electronics In Agriculture 140 :244-254. ISSN: 0168-1699. doi: 10.1016/j.compag.2017.06.009. (Impact factor, Quartile: 2.201, Q1).