Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Schubert R. Carvalho"'
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4762008e1c5e4c63f5e1d0fb18ee50f8
https://doi.org/10.1109/icmla52953.2021.00226
https://doi.org/10.1109/icmla52953.2021.00226
Autor:
Bruno V. Ferreira, Ana Claudia S. Gomes, Cleison D. Silva, Rafael L. Rocha, Eduardo Carvalho, Ana Carolina Siravenha, Schubert R. Carvalho
Publikováno v:
Anais do VII Symposium on Knowledge Discovery, Mining and Learning (KDMiLe 2019).
Railcar components inspection is one of the most critical tasks in railway maintenance. The use of image processing, coupled with machine learning, has emerged as a solution for replacing current standard methodologies. The spectral analysis gives th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2da2acd8bc5a5c1591a9c77f2aa7f903
https://doi.org/10.5753/kdmile.2019.8786
https://doi.org/10.5753/kdmile.2019.8786
Autor:
Iraquitan Cordeiro Filho, Schubert R. Carvalho, Mylena N. R. Ferreira, Ana Carolina Siravenha, Bruno Gomes
Publikováno v:
Anais do VII Symposium on Knowledge Discovery, Mining and Learning (KDMiLe 2019).
The progressive and gradual escalation of mental fatigue implies specific alterations in both power spectral values and brain connectivity. Detect these variations can improve the understanding of mental fatigue, and lead to identifying sensitive cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a130446ddb958de2f573ade070fbd761
https://doi.org/10.5753/kdmile.2019.8787
https://doi.org/10.5753/kdmile.2019.8787
Autor:
Renan Arthur Tourinho, Mylena N F Reis, Schubert R. Carvalho, Ana Carolina Siravenha, Bruno Gomes, Iraquitan Cordeiro
Publikováno v:
BRACIS
At the mining industry, human safety and productivity are both desirable in the logistics pipeline. Since the operation of heavy machines requires continued vigilance and mental activity, fatigue caused by long hours of work and constant effort gener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d89cc9e79fa0a871f8f45408a6e37de5
https://doi.org/10.1109/bracis.2019.00078
https://doi.org/10.1109/bracis.2019.00078
Autor:
Rafael L. Rocha, Cleidson R. B. de Souza, Eduardo Carvalho, Ana Carolina Siravenha, Everlandio Fernandes, Bruno V. Ferreira, Schubert R. Carvalho, Ana Claudia S. Gomes
Publikováno v:
IJCNN
Railway component inspection is a technique widely used for maintenance because defective components pose safety issues. Nevertheless, finding defective components is a hard task because they are normally hidden by dusty, which poses hard problems fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e89e3a28b3b5d01d9d7f951ca1feb06a
https://doi.org/10.1109/ijcnn.2018.8489423
https://doi.org/10.1109/ijcnn.2018.8489423
Autor:
Giovanni Augusto F. Dias, Luciano M. Rodrigues, Ana Carolina Siravenha, Rafael L. Rocha, Cleidson R. B. de Souza, Ana Claudia S. Gomes, Alexandre F. B. Silva, Júlio Braga, Gerson Serejo, Schubert R. Carvalho
Publikováno v:
SAC
Inspecting objects in the industry aims to guarantee product quality allowing problems to be corrected and damaged products to be discarded. Inspection is also widely used in railway maintenance, where wagon components need to be checked due to effic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::583e2f4e5f8dda893b1e445d4449789d
https://doi.org/10.1145/3167132.3167157
https://doi.org/10.1145/3167132.3167157
Autor:
Ronan Boulic, Damares Crystina Oliveira de Resende, Henrique Galvan Debarba, Schubert R. Carvalho, Ana Carolina Siravenha, Bruno Gomes, Iraquitan Cordeiro Filho, Cleidson R. B. de Souza
Publikováno v:
SIBGRAPI
Carvalho, S R, Filho, I C, Resende, D O D, Siravenha, A C, Souza, C D, Debarba, H G, Gomes, B & Boulic, R 2017, A Deep Learning Approach for Classification of Reaching Targets from EEG Images . in Proceedings-30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017 ., 8097310, IEEE Signal Processing Society, Proceedings-30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017, pp. 178-184, 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017, Niteroi, Rio de Janeiro, Brazil, 17/10/2017 . https://doi.org/10.1109/SIBGRAPI.2017.30
Carvalho, S R, Filho, I C, Resende, D O D, Siravenha, A C, Souza, C D, Debarba, H G, Gomes, B & Boulic, R 2017, A Deep Learning Approach for Classification of Reaching Targets from EEG Images . in Proceedings-30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017 ., 8097310, IEEE Signal Processing Society, Proceedings-30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017, pp. 178-184, 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017, Niteroi, Rio de Janeiro, Brazil, 17/10/2017 . https://doi.org/10.1109/SIBGRAPI.2017.30
In this paper, we propose a new approach for the classification of reaching targets before movement onset, during visually-guided reaching in 3D space. Our approach combines the discriminant power of two-dimensional Electroencephalography (EEG) signa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4303d7f61d79e3ef0217c3aa9640876
https://doi.org/10.1109/sibgrapi.2017.30
https://doi.org/10.1109/sibgrapi.2017.30
Autor:
Ana Carolina Siravenha, Bruno Gomes, Damares Crystina Oliveira de Resende, Bianchi Serique Meiguins, Schubert R. Carvalho, Henrique Galvan Debarba, Iraquitan Cordeiro Filho
Publikováno v:
De Carvalho, S R, Filho, I C, De Resende, D C O, Siravenha, A C Q, Meiguins, B S, Debarba, H G & Gomes, B D 2017, A novel procedure for classification of early human actions from EEG signals . in Proceedings-2017 Brazilian Conference on Intelligent Systems, BRACIS 2017 . IEEE Signal Processing Society, Proceedings-2017 Brazilian Conference on Intelligent Systems, BRACIS 2017, vol. 2018-January, pp. 240-245, 6th Brazilian Conference on Intelligent Systems, BRACIS 2017, Uberlandia, Brazil, 02/10/2017 . https://doi.org/10.1109/BRACIS.2017.39
BRACIS
BRACIS
We introduce a novel procedure that extends the time feasibility for classification of early human actions. Its major characteristic is to use epoch training data from a wider time duration before action onset (i.e., within the intention period) inst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cff662fc7ede5b5452f29def145bde3
https://vbn.aau.dk/da/publications/a9007bf5-42bf-483e-a3dd-5b18104d0e4b
https://vbn.aau.dk/da/publications/a9007bf5-42bf-483e-a3dd-5b18104d0e4b
