Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Eulanda Miranda dos Santos"'
Autor:
Thayná Rosa Silvestre, Eulanda Miranda dos Santos, Rafael Albuquerque Pinto, Lucas Gabriel Coimbra Evangelista
Publikováno v:
Anais do XXII Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2022).
O vírus SARS-CoV-2 que causa a doença do coronavírus já está há mais de dois anos sendo transmitido pelo mundo, além de suas muitas mutações. Dentre as diversas maneiras de testar se uma pessoa está infectada, a detecção de anomalias em s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06e8b68a03b9f3c1eaa07e9f90a5f7f4
https://doi.org/10.5753/sbcas.2022.222546
https://doi.org/10.5753/sbcas.2022.222546
Autor:
Pedro Paulo de Souza Leão, Eulanda Miranda dos Santos, Rafael Albuquerque Pinto, Lucas Gabriel Coimbra Evangelista
Publikováno v:
Anais do XXII Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2022).
Dados radiológicos são importantes no diagnóstico e tratamento da COVID-19 e de doenças relacionadas ao trato respiratório inferior, tais como a pneumonia. Considerando esse contexto, nós apresentamos neste artigo um método que utiliza uma Red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46946d3d67a609e794c1ecef48140495
https://doi.org/10.5753/sbcas.2022.222719
https://doi.org/10.5753/sbcas.2022.222719
Autor:
Natalia de Sousa Freire, Pedro Paulo de Souza Leão, Leonardo Albuquerque Tiago, Alberto de Almeida Campos Gonçalves, Rafael Albuquerque Pinto, Eulanda Miranda dos Santos, Eduardo Souto
Publikováno v:
Anais do XXII Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2022).
Machine learning methods have been applied to predict COVID-19 using chest X-ray images in several works. However, to be helpful, a machine learning model must be robust to give reliable predictions for any target population, rather than only for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::111726be515c0c9bb99f320996200c60
https://doi.org/10.5753/sbcas.2022.222442
https://doi.org/10.5753/sbcas.2022.222442
Autor:
Waldir S. S. Junior, Bernardo B. Gatto, Kenny V. dos Santos, Kazuhiro Fukui, Eulanda Miranda dos Santos
Publikováno v:
Neural Processing Letters. 52:443-465
Several convolutional neural network architectures have been proposed for handwritten character recognition. However, most of the conventional architectures demand large scale training data and long training time to obtain satisfactory results. These
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2372f6fecb9a64117cbb32798b95e0a
https://doi.org/10.1007/s11063-020-10244-5
https://doi.org/10.1007/s11063-020-10244-5
Autor:
Edleno Silva de Moura, Eulanda Miranda dos Santos, Max Willian Soares Lima, Horacio A. B. F. de Oliveira, Marco Levorato, Leonardo Guimarães, Rafael Kohler Costa
Publikováno v:
Sensors
Volume 21
Issue 15
Sensors, Vol 21, Iss 5013, p 5013 (2021)
Sensors (Basel, Switzerland)
Volume 21
Issue 15
Sensors, Vol 21, Iss 5013, p 5013 (2021)
Sensors (Basel, Switzerland)
The main goal of an Indoor Positioning System (IPS) is to estimate the position of mobile devices in indoor environments. For this purpose, the primary source of information is the signal strength of packets received by a set of routers. The fingerpr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6e751b2043a19f96ac91cdfc9eb8fc2
Publikováno v:
Data Mining and Knowledge Discovery. 34:50-74
Machine learning algorithms can be applied to several practical problems, such as spam, fraud and intrusion detection, and customer preferences, among others. In most of these problems, data come in streams, which mean that data distribution may chan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43fa6d0331c528ff1f35432031db8b75
https://doi.org/10.1007/s10618-019-00656-w
https://doi.org/10.1007/s10618-019-00656-w
Publikováno v:
JUCS-Journal of Universal Computer Science 27(4): 364-386
Journal of Universal Computer Science, Vol 27, Iss 4, Pp 364-386 (2021)
Journal of Universal Computer Science, Vol 27, Iss 4, Pp 364-386 (2021)
Electronic messages are still considered the most significant tools in business and personal applications due to their low cost and easy access. However, e-mails have become a major problem owing to the high amount of junk mail, named spam, which fil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::642736055b13f676d374a9eda960d735
https://zenodo.org/record/4739860
https://zenodo.org/record/4739860
Publikováno v:
CVPR Workshops
Monitoring wildlife through camera traps produces a massive amount of images, whose a significant portion does not contain animals, being later discarded. Embedding deep learning models to identify animals and filter these images directly in those de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa9a20ed6f8ba4d857fbca408d318af9
Autor:
Bernardo Bentes Gatto, Juan Gabriel Colonna, Eulanda Miranda dos Santos, Alessandro Lameiras Koerich, Kazuhiro Fukui
Automatic analysis of bioacoustic signals is a fundamental tool to evaluate the vitality of our planet. Frogs and bees, for instance, may act like biological sensors providing information about environmental changes. This task is fundamental for ecol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c7e206efcdbbcab21f7a06db3be739a
Autor:
Kazuhiro Fukui, Bernardo B. Gatto, Eulanda Miranda dos Santos, Juan Gabriel Colonna, Naoya Sogi, Lincon S. Souza
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bfaa66973d00d6af5c07d8ac861928e
https://doi.org/10.21437/interspeech.2020-2134
https://doi.org/10.21437/interspeech.2020-2134