Get started
Author

Véronique Gomes

Observed names: Gomes, Véronique Medeiros, Veronique Gomes, Veronique M. Gomes, Véronique M. Gomes
ORCID: 0000-0002-1281-4760
Observed ORCID: 0000-0002-1281-4760
OpenAlex ID: A5046190859
Comparison of different approaches for the prediction of sugar content in new vintages of whole Port wine grape berries using hyperspectral imaging
2017 · Véronique M. Gomes, Armando M. Fernandes, et al. · Computers and Electronics in Agriculture · 74
Application of Hyperspectral Imaging and Deep Learning for Robust Prediction of Sugar and pH Levels in Wine Grape Berries
2021 · Véronique Gomes, Ana Mendes-Ferreira, et al. · Sensors · 56
PDF
Characterization of neural network generalization in the determination of pH and anthocyanin content of wine grape in new vintages and varieties
2016 · Véronique Gomes, Armando Fernandes, et al. · Food Chemistry · 45
Using Support Vector Regression and Hyperspectral Imaging for the Prediction of Oenological Parameters on Different Vintages and Varieties of Wine Grape Berries
2018 · Rui Silva, Véronique Gomes, et al. · Remote Sensing · 37
PDF
Prediction of Sugar Content in Port Wine Vintage Grapes Using Machine Learning and Hyperspectral Imaging
2021 · Véronique Gomes, Marco S. Reis, et al. · Processes · 31
PDF
Exploring the Antioxidant Potential of Phenolic Compounds from Winery By-Products by Hydroethanolic Extraction
2023 · Rui Dias Costa, Raúl Domínguez-Perles, et al. · Molecules · 24
PDF
A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part I—Assessing Detection Strength
2016 · Tiago J. Rato, Ricardo Rendall, et al. · Industrial & Engineering Chemistry Research · 24
Determination of sugar content in whole Port Wine grape berries combining hyperspectral imaging with neural networks methodologies
2014 · Veronique M. Gomes, Armando M. Fernandes, et al. · IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES) · 21
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
2021 · Véronique Gomes, Ricardo Rendall, et al. · Applied Sciences · 17
PDF
Applying aggregation and pre-aggregation functions in the classification of grape berries
2018 · Giancarlo Lucca, Jose Antonio Sanz, et al. · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · 17
A Systematic Methodology for Comparing Batch Process Monitoring Methods: Part II—Assessing Detection Speed
2018 · Tiago J. Rato, Ricardo Rendall, et al. · Industrial & Engineering Chemistry Research · 9
Towards robust Machine Learning models for grape ripeness assessment
2021 · Veronique Gomes, Pedro Melo-Pinto · International Joint Conference on Computer Science and Software Engineering · 5
A Review of the Application to Emergent Subfields in Viticulture of Local Reflectance and Interactance Spectroscopy Combined with Soft Computing and Multivariate Analysis
2017 · Armando Fernandes, Véronique Gomes, et al. · Studies in fuzziness and soft computing · 3
An Extended Comparative Study of Two- and Three-Way Methodologies for the On-line Monitoring of Batch Processes
2014 · Raquel D. Moita, Véronique M. Gomes, et al. · Computer-aided chemical engineering/Computer aided chemical engineering · 1
Development of Generalized Platforms for the Analysis of Complex Datasets
2012 · Véronique M. Gomes, Ana C. Pereira, et al. · Quality and Reliability Engineering International · 1
Works count: 16
Citation count: 365
H-index: 10
I10-index: 10
Year
Topic
Type