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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Classification of Fish Species Using Multispectral Data from a Low-Cost Camera and Machine Learning.
Remote. Sens., August, 2023

Stacking Deep Learning Models for Early Detection of Wildfire Smoke Plumes.
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
Identification of Oceanic Eddies in Satellite Images.
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

Detection of a Large Number of Overlapping Ellipses Immersed in Noise.
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 Network Based Recognition of Smoke.
Neural Process. Lett., 2004

Neural Network Based Recognition of Smoke Signatures from Lidar Signals.
Neural Process. Lett., 2004


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