Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Vinicios R. Soares"'
Autor:
Virginia Baroncini, Marcella S. R. Martins, Jakson L. Bittencourt, Thiago Camargo, Denise Pechebovicz, Sthefanie Premebida, Vinicios R. Soares
Publikováno v:
ICIT
In this work we propose a mobile application capable of recognizing Brazilian medicinal plants to be used by universities, students that have not previous contact with the species and professionals working on health centers. We describe the database
Autor:
Hugo Siqueira, Virginia Baroncini, Marcella S. R. Martins, Thiago Camargo, Diego Oliva, Henrique Nazario, Sthefanie Premebida, Vinicios R. Soares, Denise Pechebovicz, Jakson L. Bittencourt
Publikováno v:
Anais do 14. Congresso Brasileiro de Inteligência Computacional.
Autor:
Virginia Baroncini, Sthefanie Premebida, Marcella S. R. Martins, Diego Oliva, Vinicios R. Soares, Hugo Siqueira, Thiago Camargo, Denise Pechebovicz
Publikováno v:
2019 IEEE Colombian Conference on Applications in Computational Intelligence (ColCACI).
Image processing and machine learning techniques have been applied in several fields of research. Astronomy is one of these areas where relevant methods have been developed to deal mainly with identifying and classification. This work introduces a ne
Autor:
Hugo Siqueira, Sthefanie Premebida, Denise Pechebovicz, Marcella S. R. Martins, Vinicios R. Soares, Diego Oliva, Thiago Camargo, Virginia Baroncini
Publikováno v:
Applications of Computational Intelligence ISBN: 9783030362102
Machine learning techniques and image processing have been successfully applied in many research fields. Astronomy and Astrophysics are some of these areas. In this work, we apply machine learning techniques in a new approach to classify and characte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16c39e290e8956842efae86cbbe263ac
https://doi.org/10.1007/978-3-030-36211-9_19
https://doi.org/10.1007/978-3-030-36211-9_19
Autor:
Afonso H. Ribeiro, Rafael S. Rbeiro, S. R. Marcella Martins, Mathias R. Luz, M. D. Max Santos, Joaquim de Mira, Vinicios R. Soares
Publikováno v:
2018 13th IEEE International Conference on Industry Applications (INDUSCON).
Deep Learning is part of a broader family of machine learning methods based on learning data representations that is being widely deployed in autonomous vehicles with the purpose to identify and recognize objects on the environment in surroundings. T