Véronique Medeiros Gomes Scholarship Researcher

BIO

Name: Véronique Medeiros Gomes

Aggregation: Scholarship Researcher

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

Email: veroniquegomes@gmail.com

URL:

Phone:

Publications

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).

A review of the application to emergent subfields in viticulture of local reflectance and interactance spectroscopy combined with soft computing and multivariate analysis.
Fernandes, A., Gomes, V., Melo-Pinto, P (2018) A review of the application to emergent subfields in viticulture of local reflectance and interactance spectroscopy combined with soft computing and multivariate analysis. In: C. Corona (eds) Soft Computing for the Sustainability Science. Springer Verlag. 657 :263-277. ISBN: 978-3-319-62358-0.