Armando M. Fernandes
Orcid: 0000-0001-7850-0847
According to our database1,
Armando M. Fernandes
authored at least 15 papers
between 2004 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Classification of Fish Species Using Multispectral Data from a Low-Cost Camera and Machine Learning.
Remote. Sens., August, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
2022
Automatic Early Detection of Wildfire Smoke With Visible Light Cameras Using Deep Learning and Visual Explanation.
IEEE Access, 2022
2019
Grapevine variety identification using "Big Data" collected with miniaturized spectrometer combined with support vector machines and convolutional neural networks.
Comput. Electron. Agric., 2019
Drone, Aircraft and Bird Identification in Video Images Using Object Tracking and Residual Neural Networks.
Proceedings of the 11th International Conference on Electronics, 2019
2018
Assessment of grapevine variety discrimination using stem hyperspectral data and AdaBoost of random weight neural networks.
Appl. Soft Comput., 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
2015
Brix, pH and anthocyanin content determination in whole Port wine grape berries by hyperspectral imaging and neural networks.
Comput. Electron. Agric., 2015
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
2008
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008
2005
Design of committee machines for classification of single-wavelength lidar signals applied to early forest fire detection.
Pattern Recognit. Lett., 2005
2004
Development of neural network committee machines for automatic forest fire detection using lidar.
Pattern Recognit., 2004
Neural Process. Lett., 2004