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Deep learning para classificação hierárquica de elementos transponíveis
(Universidade Federal de São Carlos, 2018-09-05)
Transposable Elements (TEs) are DNA sequences that can change its location within a cell's genome. They contribute directly to the genetic variety of species. Besides, their transposition mechanisms can affect the functionality ...
Técnicas de reconhecimento de imagem para incorporação em ferramentas de auxílio a deficientes visuais
(Universidade Federal de São Carlos, 2019-06-26)
Visual impairment can cause many limitations to a person, which includes working in basic
home duties, professional activities, and also changing the way the world is perceived by
him or her. The advent of new technologies ...
Detecção de invasões biológicas no cerrado utilizando deep learning
(Universidade Federal de São Carlos, 2019-07-18)
The Cerrado represents an important reserve of natural resources, with biodiversity representativity worldwide. On the other hand, biological invasions can threaten the balance and put in risk local species, in this way ...
Avanços recentes em caracterização e classificação de imagens de texturas: explorando teoria da informação, aprendizado profundo e de variedades
(Universidade Federal de São Carlos, 2020-04-30)
The task of extracting features from images is a very important activity for many computer vision and image processing applications. Especially the characterization and identification of textures is a fundamental issue in ...
Anotação semântica baseada em ontologia aplicada em imagens médicas
(Universidade Federal de São Carlos, 2023-07-13)
Breast cancer is one of the most common types of cancer among women in Brazil and worldwide. Early diagnosis of a breast lesion is a priority for effective treatment at lower costs, with mammography being the most used ...