Rui Manuel Machado Silva PhD Collaborator

BIO

Name: Rui Manuel Machado Silva

Aggregation: PhD Collaborator

Scopus author ID: 57200853240

Orcid ID: 0000-0001-6928-6770

Email: ruisilva.ei@gmail.com

URL: https://www.linkedin.com/in/rui-silva-eng/

Start date: 01-10-2018

Publications

Early detection of downy mildew in vineyards using deep neural networks for semantic segmentation

Hernández I., Silva R., Melo-Pinto P., Gutiérrez S., Tardaguila J., (2025) Early detection of downy mildew in vineyards using deep neural networks for semantic segmentation Biosystems Engineering 252 :15-31. doi: 10.1016/j.biosystemseng.2025.02.007.

Evaluating the generalization ability of deep learning models: An application on sugar content estimation from hyperspectral images of wine grape berries

Silva R., Freitas O., Melo-Pinto P., (2024) Evaluating the generalization ability of deep learning models: An application on sugar content estimation from hyperspectral images of wine grape berries Expert Systems with Applications 250 (123891). doi: 10.1016/j.eswa.2024.123891.

Boosting the performance of SOTA convolution-based networks with dimensionality reduction: An application on hyperspectral images of wine grape berries

Silva R., Gramaxo Freitas O., Melo-Pinto P., (2023) Boosting the performance of SOTA convolution-based networks with dimensionality reduction: An application on hyperspectral images of wine grape berries Intelligent Systems with Applications 19 (200252). doi: 10.1016/j.iswa.2023.200252.

t-SNE: A study on reducing the dimensionality of hyperspectral data for the regression problem of estimating oenological parameters

Silva R., Melo-Pinto P., (2023) t-SNE: A study on reducing the dimensionality of hyperspectral data for the regression problem of estimating oenological parameters Artificial Intelligence in Agriculture 7 :58-68. ISSN: 25897217. doi: 10.1016/j.aiia.2023.02.003.

A review of different dimensionality reduction methods for the prediction of sugar content from hyperspectral images of wine grape berries

Silva R., Melo-Pinto P., (2021) A review of different dimensionality reduction methods for the prediction of sugar content from hyperspectral images of wine grape berries Applied Soft Computing 113 (107889). doi: 10.1016/j.asoc.2021.107889.

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).