Suane Pires P. da Silva
According to our database1,
Suane Pires P. da Silva
authored at least 15 papers
between 2017 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
New Advances in Body Composition Assessment with ShapedNet: A Single Image Deep Regression Approach.
CoRR, 2023
2021
IEEE J. Sel. Areas Commun., 2021
2020
Lung nodule malignancy classification in chest computed tomography images using transfer learning and convolutional neural networks.
Neural Comput. Appl., 2020
An effective approach to unmanned aerial vehicle navigation using visual topological map in outdoor and indoor environments.
Comput. Commun., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
An Innovative Approach of Textile Fabrics Identification from Mobile Images using Computer Vision based on Deep Transfer Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Control of singularity trajectory tracking for robotic manipulator by genetic algorithms.
J. Comput. Sci., 2019
Future Gener. Comput. Syst., 2019
Deep learning IoT system for online stroke detection in skull computed tomography images.
Comput. Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
A New Approach to Navigation of Unmanned Aerial Vehicle using Deep Transfer Learning.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
Localization of Mobile Robots with Topological Maps and Classification with Reject Option using Convolutional Neural Networks in Omnidirectional Images.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
Robot Localization Using Classification with Reject Option from Structural Co-occurrence Matrix in Omnidirectional Images.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
A Novel Approach for Mobile Robot Localization in Topological Maps Using Classification with Reject Option from Structural Co-occurrence Matrix.
Proceedings of the Computer Analysis of Images and Patterns, 2017