Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Cappabianco, Fábio"'
Autor:
Resende, Hugo, Neto, Eduardo B., Cappabianco, Fabio A. M., Fazenda, Alvaro L., Faria, Fabio A.
Conserving tropical forests is highly relevant socially and ecologically because of their critical role in the global ecosystem. However, the ongoing deforestation and degradation affect millions of hectares each year, necessitating government or pri
Externí odkaz:
http://arxiv.org/abs/2408.12381
Aerial scene classification, which aims to semantically label remote sensing images in a set of predefined classes (e.g., agricultural, beach, and harbor), is a very challenging task in remote sensing due to high intra-class variability and the diffe
Externí odkaz:
http://arxiv.org/abs/2303.11389
Deep Convolutional Neural Networks (CNNs) are becoming prominent models for semi-automated diagnosis of Alzheimer's Disease (AD) using brain Magnetic Resonance Imaging (MRI). Although being highly accurate, deep CNN models lack transparency and inter
Externí odkaz:
http://arxiv.org/abs/2004.12204
High-frequency noise is present in several modalities of medical images. It originates from the acquisition process and may be related to the scanner configurations, the scanned body, or to other external factors. This way, prospective filters are an
Externí odkaz:
http://arxiv.org/abs/1812.04708
Publikováno v:
In Computers in Industry October 2022 141
Publikováno v:
In Journal of Visual Communication and Image Representation August 2020 71
Autor:
Cappabianco, Fábio *, Tsuzuki, Marcos S.G. **, Miranda, Paulo ***, Martins, Thiago C. **, Kagei, Seiichiro ****, Gotoh, Toshiyuki ****, Iwasawa, Tae
Publikováno v:
In IFAC PapersOnLine July 2017 50(1):15056-15061
Aerial scene classification, which aims to semantically label remote sensing images in a set of predefined classes (e.g., agricultural, beach, and harbor), is a very challenging task in remote sensing due to high intra-class variability and the diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a798c08ec3756a52032f9437ec6d1a90
Publikováno v:
In IFAC Proceedings Volumes 2014 47(3):3887-3892
Publikováno v:
In Computer Vision and Image Understanding October 2012 116(10):1047-1059