Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Arlete Rodrigues"'
Publikováno v:
Sensors, Vol 23, Iss 10, p 4902 (2023)
The early detection of fire is of utmost importance since it is related to devastating threats regarding human lives and economic losses. Unfortunately, fire alarm sensory systems are known to be prone to failures and frequent false alarms, putting p
Externí odkaz:
https://doaj.org/article/cef1846c6ef34b4aac1a8d4cc6777f10
Autor:
Alessandra Arrais, Elen Carioca Zerbini, Fernanda Schieber Saúde Vilas Boas de Oliveira Jota, Renata Rodrigues de Melo Almeida, Arlete Rodrigues Chagas da Costa, Katiane Tavares da Silva
Publikováno v:
Escola Anna Nery, Vol 24, Iss 1 (2019)
Abstract Chain of Custody implies adequate collection, recording, and storage of the vestige of sexual violence, guaranteeing the reliability of the material that will be forwarded as expert evidence. Its implementation in the Unified Health System h
Externí odkaz:
https://doaj.org/article/f3218be88eb04ec1b1d5d190a22053f0
Autor:
Manuela Costa Melo, Lara Mabelle Milfont Boeckmann, Arlete Rodrigues Chagas da Costa, Ana Socorro de Moura, Dirce Guilhem
Publikováno v:
Revista Gestão & Saúde, Vol 7, Iss 1, Pp 247-259 (2016)
Objetivo: Relatar a experiência sobre as atividades desenvolvidas por docentes de uma escola de graduação em enfermagem. Métodos: Trata-se de relato de experiência de docentes do curso de graduação em enfermagem do Distrito Federal com acadêm
Externí odkaz:
https://doaj.org/article/52ded4b4a212454ea853f6439fb62822
Autor:
Isabel Pôças, Arlete Rodrigues, Sara Gonçalves, Patrícia M. Costa, Igor Gonçalves, Luís S. Pereira, Mário Cunha
Publikováno v:
Remote Sensing, Vol 7, Iss 12, Pp 16460-16479 (2015)
Several vegetation indices (VI) derived from handheld spectroradiometer reflectance data in the visible spectral region were tested for modelling grapevine water status estimated by the predawn leaf water potential (Ψpd). The experimental trial was
Externí odkaz:
https://doaj.org/article/b0b79ecdae2842ea909d34be783bf321
Autor:
Arlete Rodrigues Chagas da Costa, Manuela Costa Melo, Marilda Augusto Oliveira, Rosana Nunes Dias
Publikováno v:
Revista Brasileira de Enfermagem, Vol 53, Iss spe, Pp 127-130 (2000)
Externí odkaz:
https://doaj.org/article/3a0b0e8604d142498b2bfd06c7100c54
Publikováno v:
Debates em Educação. 14:149-167
Estamos vivenciando um período de transformação social e de lutas por uma educação que considere todas as nuances do fenômeno educativo dentro e fora da escola. Considerando as emergências atuais, é preciso repensar novas formas de incluir e
Publikováno v:
2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT).
Publikováno v:
2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT).
Autor:
Chagas da Costa, Arlete Rodrigues1 arlete.rodrigues43@gmail.com, Mizusaki Imoto, Aline1, Donato Gottems, Leila Bernarda1
Publikováno v:
Enfermagem em Foco. 2019, Vol. 10 Issue 5, p13-19. 7p.
Autor:
Carla Silva, Inês Dutra, Vítor Costa, Arlete Rodrigues, Marvin F. da Silva, José Roberto Rezende Rebello da Silva, Alípio Mário Jorge
Publikováno v:
Recent Challenges in Intelligent Information and Database Systems ISBN: 9789811616846
ACIIDS (Companion)
ACIIDS (Companion)
This paper presents an effort to timely handle 400+ GBytes of sensor data in order to produce Predictive Maintenance (PdM) models. We follow a data-driven methodology, using state-of-the-art python libraries, such as Dask and Modin, which can handle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6350b3cd2afcb01f290cfd34f957f4b1
https://doi.org/10.1007/978-981-16-1685-3_33
https://doi.org/10.1007/978-981-16-1685-3_33