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About

I'm Antonio Valente and I was graduated in Electrical Engineering from University of Trás-os-Montes and Alto Douro (UTAD), Portugal in 1994, and in 1999 I've taked a MsC degree in Industrial Electronics from University of Minho, Portugal. I've obtained in 2003 a PhD degree at UTAD, working in the field of micro-systems for agriculture. Presently, I'm an Associate Professor with Habilitation in the Department of Engineering, UTAD, and director of the same department. I'm a senior researcher at Institute for Systems and Computer Engineering - Technology and Science (INESC TEC). I was chairman of ICARSC 2015 and local organizer of Robótica 2015, Vila Real, Portugal. I'm also the organizer of Portuguese Micromouse Contest (robotics competition organized annually). My professional interests are in sensors, MEMS sensors, microcontrollers, and embedded systems, with application focus to agriculture.

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Publications

2019

Comparison of Evolutionary Algorithms for Coordination of Cooperative Bioinspired Multirobots

Authors
Saraiva, AA; Silva, FVN; Sousa, JVM; Fonseca Ferreira, NM; Valente, A; Soares, S;

Publication
New Knowledge in Information Systems and Technologies - Volume 2, World Conference on Information Systems and Technologies, WorldCIST 2019, Galicia, Spain, 16-19 April

Abstract

2019

Classification of images of childhood pneumonia using convolutional neural networks

Authors
Saraiva, AA; Fonseca Ferreira, NM; de Sousa, LL; Costa, NJC; Sousa, JVM; Santos, DBS; Valente, A; Soares, S;

Publication
BIOIMAGING 2019 - 6th International Conference on Bioimaging, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019

Abstract
In this paper we describe a comparative classification of Pneumonia using Convolution Neural Network. The database used was the dataset Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification made available by (Kermany, 2018) with a total of 5863 images, with 2 classes: normal and pneumonia. To evaluate the generalization capacity of the models, cross-validation of k-fold was used. The classification models proved to be efficient compared to the work of (Kermany et al., 2018) which obtained 92.8 % and the present work had an average accuracy of 95.30 %.

2019

Study of dipeptidil peptidase 4 inhibitors based on molecular docking experiments

Authors
Saraiva, AA; Soares, JN; Costa, NJC; Sousa, JVM; Fonseca Ferreira, NM; Valente, A; Soares, S;

Publication
BIOINFORMATICS 2019 - 10th International Conference on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019

Abstract
The lack of physical activity and poor nutrition triggers various diseases, among them is diabetes. In this context, several researches seek ways that can mitigate these diseases to provide a better quality of life for people. Therefore, the present work aims to analyze the possible inhibitors of the enzyme Dipeptidil Peptidase 4 that hypotheses will be stipulated for the creation of new drugs through molecular docking techniques, that is, a computational simulation of combinations of drugs of the family of gliptins with other antidiabetics (metformin, glyburide and cucurbitacin). Among the results, it was observed that the antidiabetic cucurbitacin combined with the gliptines obtained greater energy during the process.

2019

Comparative study of compression techniques applied in different biomedical signals

Authors
Saraiva, AA; Castro, FMJ; Costa, NJC; Sousa, JVM; Fonseca Ferreira, NM; Valente, A; Soares, S;

Publication
BIOSIGNALS 2019 - 12th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019

Abstract
This paper aims to compare the compression of electro-oculographic signals, based on the (EOG) from MIT / BIH database, and the electromyographic signals, based on the (EMG) from MIT / BIH database, for that purpose, two compression techniques that can be used in electro-oculograms and electromyograms was approached, the two techniques mentioned above, were, the discrete cosine transform and Fast Walsh Hadamard Transform. For statistic the methods used was, the Mean squared error, mean absolute error, signal-to-noise ratio and peak signal-to-noise ratio as well, and for results, the techniques and they performance on each tested signal. Copyright

2019

Data acquisition from the integration of Kinect quaternions and Myo armband EMG sensors to aid equinus foot treatment

Authors
Araújo, FMA; Fonseca Ferreira, NM; Soares, SFSP; Valente, A; Junior, GLS;

Publication
BIODEVICES 2019 - 12th International Conference on Biomedical Electronics and Devices, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019

Abstract
This paper shows the advantage of using different sensors such the Microsoft Kinect and Myo Armband to acquire movement description of the plantarflexion and dorsiflexion of the foot with the help of the quaternions and the EMG Myo sensor. For the integration of these devices, it was chosen Python to develop the algorithm and create an interface to aid the signal acquisition. This integration, enabling an accurate motion description as well as a scale of EMG signal, allow the possibility of quantifying the treatment of the people with equinus foot. © 2019 by SCITEPRESS - Science and Technology Publications, Lda.

Supervised
thesis

2017

Rede de sensores para o auxílio ao idoso dependente no Domicilio

Author
Vítor Manuel Caldeira Afonso

Institution
UTAD

2017

Desenvolvimento de um robô de baixo custo para o concurso Micromouse

Author
Samir Pinto Mehmeti

Institution
UTAD

2016

-

Author
Chong liu

Institution
UM