Zobrazeno 1 - 10
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pro vyhledávání: '"DANIEL SALLES CHEVITARESE"'
Autor:
DANIEL SALLES CHEVITARESE
[pt] As Redes Neurais Artificiais têm sido utilizadas com bastante sucesso em problemas de previsão, inferência e classificação de padrões. Por essa razão, já se encontram disponíveis diversas bibliotecas que facilitam a modelagem e o treina
Autor:
DANIEL SALLES CHEVITARESE
[pt] O cérebro da Drosophila é um sistema atrativo para o estudo da lógica do circuito neural, porque implementa o comportamento sensorial complexo com um sistema nervoso que compreende um número de componentes neurais que é de cinco ordens de g
Autor:
DANIEL SALLES CHEVITARESE
Publikováno v:
Repositório Institucional da PUC_RIOPontifícia Universidade Católica do Rio de JaneiroPUC_RIO.
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
PROGRAMA DE DOUTORADO SANDUÍCHE NO EXTERIOR
O cérebro da Drosophila é um sist
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
PROGRAMA DE DOUTORADO SANDUÍCHE NO EXTERIOR
O cérebro da Drosophila é um sist
Publikováno v:
IJCNN
One of the most critical activities for the oil and gas industry is the discovery of new possibles reserves. Geoscientists must rely on indirect measures of the subsurface to scrutinize huge areas looking for leads of hydrocarbon reservoirs. Usually,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::383158a83d38a4c32dc1cd5a3cb4269b
https://doi.org/10.1109/ijcnn.2018.8489654
https://doi.org/10.1109/ijcnn.2018.8489654
Publikováno v:
Proceedings.
Summary In this work, we discuss how to train convolutional neural networks to classify seismic images. We present a methodology to process and organize post-stack data into appropriate data sets for training and testing the model. We generated a few
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b774563b292ad36ddf9241760413481
https://doi.org/10.3997/2214-4609.201800237
https://doi.org/10.3997/2214-4609.201800237
Publikováno v:
ISM
Recent advances in sensor technologies have made it possible to track information from multiple processes and devices on an unprecedented scale. Once data is collected, analytics can be used to generate fact-based insights and guide decision processe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::559fff6354f64e2b4b35014c835861ae
https://doi.org/10.1109/ism.2016.0142
https://doi.org/10.1109/ism.2016.0142
Publikováno v:
Anais do 12. Congresso Brasileiro de Inteligência Computacional.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::756ced71bb4cc9bf436e755c6cf66cf9
https://doi.org/10.21528/cbic2015-026
https://doi.org/10.21528/cbic2015-026
Publikováno v:
IJCNN
The brain of the fruit fly Drosophila Melanogaster is an attractive system for studying the logic underlying neural circuits because it implements a rich behavior repertoire with a number of neural components that is five orders of magnitude smaller
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f710204c9dc9ab7c455c0c8c447f624
https://doi.org/10.1109/ijcnn.2015.7280381
https://doi.org/10.1109/ijcnn.2015.7280381