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pro vyhledávání: '"Suyama, Ricardo"'
This study focuses on Intelligent Fault Diagnosis (IFD) in rotating machinery utilizing a single microphone and a data-driven methodology, effectively diagnosing 42 classes of fault types and severities. The research leverages sound data from the imb
Externí odkaz:
http://arxiv.org/abs/2411.06299
Autor:
Campello, Betania Silva C, Pelegrina, Guilherme Dean, Pelissari, Renata, Suyama, Ricardo, Duarte, Leonardo Tomazeli
Countries worldwide have been implementing different actions national strategies for Artificial Intelligence (AI) to shape policy priorities and guide their development concerning AI. Several AI indices have emerged to assess countries' progress in A
Externí odkaz:
http://arxiv.org/abs/2402.10122
Autor:
Campello, Betania Silva Carneiro, Pelegrina, Guilherme Dean, Pelissari, Renata, Suyama, Ricardo, Duarte, Leonardo Tomazeli
Publikováno v:
In Expert Systems With Applications 1 December 2024 255 Part D
The work assessed seven classical classifiers and two beamforming algorithms for detecting surveillance sound events. The tests included the use of AWGN with -10 dB to 30 dB SNR. Data Augmentation was also employed to improve algorithms' performance.
Externí odkaz:
http://arxiv.org/abs/2005.11348
Due to the growing demand for improving surveillance capabilities in smart cities, systems need to be developed to provide better monitoring capabilities to competent authorities, agencies responsible for strategic resource management, and emergency
Externí odkaz:
http://arxiv.org/abs/1910.12369
Autor:
Spadini, Tito, Suyama, Ricardo
Speech enhancement is a crucial task for several applications. Among the most explored techniques are the Wiener filter and the LogMMSE, but approaches exploring deep learning adapted to this task, such as SEGAN, have presented relevant results. This
Externí odkaz:
http://arxiv.org/abs/1910.09522
Akademický článek
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Publikováno v:
In Signal Processing May 2022 194
Publikováno v:
In Physical Communication December 2021 49
Autor:
Suyama, Ricardo
Publikováno v:
Repositório Institucional da UnicampUniversidade Estadual de CampinasUNICAMP.
Orientador: João Marcos Travassos Romano
Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
Made available in DSpace on 2018-08-09T16:56:34Z (GMT). No. of bitstreams: 1 Suyama_Ricardo_D
Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
Made available in DSpace on 2018-08-09T16:56:34Z (GMT). No. of bitstreams: 1 Suyama_Ricardo_D
Externí odkaz:
http://repositorio.unicamp.br/jspui/handle/REPOSIP/260846