Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Edson Satoshi Gomi"'
Autor:
Leonardo Seidi Shigueoka, José Paulo Cabral de Vasconcellos, Rui Barroso Schimiti, Alexandre Soares Castro Reis, Gabriel Ozeas de Oliveira, Edson Satoshi Gomi, Jayme Augusto Rocha Vianna, Renato Dichetti Dos Reis Lisboa, Felipe Andrade Medeiros, Vital Paulino Costa
Publikováno v:
PLoS ONE, Vol 13, Iss 12, p e0207784 (2018)
PurposeTo test the ability of machine learning classifiers (MLCs) using optical coherence tomography (OCT) and standard automated perimetry (SAP) parameters to discriminate between healthy and glaucomatous individuals, and to compare it to the diagno
Externí odkaz:
https://doaj.org/article/09a7bf6c80d24b3e80ecccddb1da970c
Autor:
Aldomar Pietro Santana Silva, Lucas Riera Abbade, Rodrigo da Silva Cunha, Tomaz Maia Suller, Eric Gomes, Edson Satoshi Gomi, Anna Helena Reali Costa
Publikováno v:
Anais do XIX Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2022).
Multivariate Time Series Classification (MTSC) is a complex problem that has seen great advances in recent years from the application of state-of-the-art machine learning techniques. However, there is still a need for a thorough evaluation of the eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f866bc6540e2b2426a191c7dfe85c64
https://doi.org/10.5753/eniac.2022.227600
https://doi.org/10.5753/eniac.2022.227600
Autor:
Lucas Pereira Cotrim, Rodrigo Augusto Barreira, Edson Satoshi Gomi, Anna Helena Reali Costa, Eduardo A. Tannuri, Ismael Santos, Henrique Barros Oliveira, Asdrubal N. Queiroz Filho
Publikováno v:
Volume 1: Offshore Technology.
The current design process of mooring systems for FPSOs is highly dependent on the availability of the platform’s mathematical model and accuracy of dynamic simulations, through which resulting time series motion is evaluated according to design co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b767191568025f63bb48d19b71e2e5b
https://doi.org/10.1115/omae2021-62674
https://doi.org/10.1115/omae2021-62674
FPSO Mooring Line Integrity Supervising System Based on Motion Data and Natural Frequency Estimation
Autor:
Eduardo A. Tannuri, Rodrigo Augusto Barreira, Anna Helena Reali Costa, Edson Satoshi Gomi, José Lucas De Melo Costa, Ismael Santos, Asdrubal N. Queiroz Filho
Publikováno v:
Volume 1: Offshore Technology.
Offshore production facilities play a central role in the oil industry given the growing demand for energy resources. The mooring system of these floating structures is a critical component for safety maintenance. The timely identification of mooring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a69d27c4c24eefdf015dfffcca3e017d
https://doi.org/10.1115/omae2021-62991
https://doi.org/10.1115/omae2021-62991
Autor:
Flavio Jaime Pol Gonçalves, Rodrigo Augusto Barreira, Vinicius Cleves de Oliveira Carmo, Fabio Gagliardi Cozman, Ismael Santos, Edson Satoshi Gomi, Vinicius Toquetti de Melo, Rodrigo da Silva Cunha, Carlos Eduardo Cugnasca
Publikováno v:
Volume 1: Offshore Technology.
This paper presents a computing pipeline architecture for semantic search in the domain of Offshore Engineering. The proposed system combines modules such as document retriever, passage retriever, and answer extractor to produce textual responses to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee1b3e7fb57b6d9c1e97139195861ca4
https://doi.org/10.1115/omae2021-62979
https://doi.org/10.1115/omae2021-62979
Autor:
Asdrubal N. Queiroz Filho, Rodrigo da Silva Cunha, Eduardo A. Tannuri, Rodrigo Augusto Barreira, Florian Schopp, Amir Muhammed Saad, Edson Satoshi Gomi, Ismael Santos, Anna Helena Reali Costa
Publikováno v:
Volume 1: Offshore Technology.
A failure in the mooring line of a platform, if not detected quickly, can cause a riser system failure, extended production downtime, or even environmental damages. Therefore, integrity management and timely detection of mooring failure for floating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9e686bf7f5371f315183cffaa7caf9d
https://doi.org/10.1115/omae2021-62413
https://doi.org/10.1115/omae2021-62413
Publikováno v:
Anais Estendidos do XXI Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS Estendido 2021).
O glaucoma é uma doença ocular que provoca danos ao nervo óptico e consequente perda do campo visual. Este projeto de pesquisa tem como objetivo investigar o desempenho de Classificadores de Aprendizagem de Máquina no diagnóstico do glaucoma us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ef9c06b5b79e2ea50d669f54cc3299e
https://doi.org/10.5753/sbcas.2021.16117
https://doi.org/10.5753/sbcas.2021.16117
Autor:
Kleyton Arlindo Barella, Vital Paulino Costa, Vanessa Gonçalves Vidotti, Fabrício Reis Silva, Marcelo Dias, Edson Satoshi Gomi
Publikováno v:
Journal of Ophthalmology, Vol 2013 (2013)
Purpose. To investigate the diagnostic accuracy of machine learning classifiers (MLCs) using retinal nerve fiber layer (RNFL) and optic nerve (ON) parameters obtained with spectral domain optical coherence tomography (SD-OCT). Methods. Fifty-seven pa
Externí odkaz:
https://doaj.org/article/52bca34a4bc44260a27258afaca33902
Autor:
Roberto Fray da Silva, Fernando Hattori, Carlos Alberto Agarie Junior, Kollontai Cossich Diniz, Edson Satoshi Gomi
Publikováno v:
BiblioCanto. 3:105-123
A digitalização de acervos é importante tanto como ferramenta para a ampliação do alcance de documentos quanto para a conservação destes. A implementação dos repositórios que receberão esses acervos não é simples e apresenta particularid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6955233f8a9aa305b8de8ba37ed04b7
https://doi.org/10.21680/2447-7842.2017v3n1id11939
https://doi.org/10.21680/2447-7842.2017v3n1id11939
Autor:
Fabrício R Silva, Kleyton A. Barella, V. G. Vidotti, Edson Satoshi Gomi, Vital Paulino Costa, Marcelo Dias
Publikováno v:
Journal of Ophthalmology
Journal of Ophthalmology, Vol 2013 (2013)
Journal of Ophthalmology, Vol 2013 (2013)
Purpose. To investigate the diagnostic accuracy of machine learning classifiers (MLCs) using retinal nerve fiber layer (RNFL) and optic nerve (ON) parameters obtained with spectral domain optical coherence tomography (SD-OCT).Methods. Fifty-seven pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e4e0d519e10a41ac91064f2cfbf2917
https://doi.org/10.1155/2013/789129
https://doi.org/10.1155/2013/789129