Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Felipe Valencia de Almeida"'
Autor:
Andre Luis Ferreira Marques, Marcio Jose Teixeira, Felipe Valencia De Almeida, Pedro Luiz Pizzigatti Correa
Publikováno v:
IEEE Access, Vol 12, Pp 17915-17925 (2024)
Deep learning has grown among the prediction tools used within renewable energy options. Solar energy belongs to the options with the lowest atmosphere impact after considering their limitations. In the last five years, Brazil has seen the expansion
Externí odkaz:
https://doaj.org/article/41f27f4737594efe87b6953afbaa510b
Autor:
Rosa Virginia Encinas Quille, Jose Melendez Barros, Marcio Barbado Junior, Felipe Valencia De Almeida, Pedro Luiz Pizzigatti Correa
Publikováno v:
IEEE Access, Vol 11, Pp 41535-41545 (2023)
Topic modeling comprises a set of machine learning algorithms that allow topics to be extracted from a collection of documents. These algorithms have been widely used in many areas, such as identifying dominant topics in scientific research. However,
Externí odkaz:
https://doaj.org/article/b79e6991a4a84d5ba0f5277b719f36f4
Autor:
Felipe Valencia de Almeida, Victor Takashi Hayashi, Reginaldo Arakaki, Edson Midorikawa, Sérgio de Mello Canovas, Paulo Sergio Cugnasca, Pedro Luiz Pizzigatti Corrêa
Publikováno v:
Sensors, Vol 22, Iss 18, p 6944 (2022)
Practical knowledge is essential for engineering education. With the COVID-19 pandemic, new challenges have arisen for remote practical learning (e.g., collaborations/experimentations with real equipment when face-to-face offerings are not possible).
Externí odkaz:
https://doaj.org/article/c6cf6dcc1074434fb0ed1499eb9f69fd
Autor:
Renato Okabayashi Miyaji, Felipe Valencia de Almeida, Lucas de Oliveira Bauer, Victor Madureira Ferrari, Pedro Luiz Pizzigatti Corrêa, Luciana Varanda Rizzo, Giri Prakash
Publikováno v:
Data, Vol 6, Iss 12, p 126 (2021)
The Amazon Rainforest is highlighted by the global community both for its extensive vegetation cover that constantly suffers the effects of anthropic action and for its substantial biodiversity. This dataset presents data of meteorological variables
Externí odkaz:
https://doaj.org/article/b9837fb1bdbb4b8994151d936a8d135e
Autor:
Rosa Virginia Encinas Quille, Felipe Valencia de Almeida, Mauro Yuji Ohara, Pedro Luiz Pizzigatti Corrêa, Leandro Gomes de Freitas, Solange Nice Alves-Souza, Jorge Rady de Almeida, Maggie Davis, Giri Prakash
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 20; Issue 7; Pages: 5374
Atmospheric data are collected by researchers every day. Campaigns such as GOAmazon 2014/2015 and the Amazon Tall Tower Observatory collect essential data on aerosols, gases, cloud properties, and meteorological parameters in the Brazilian Amazon bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85b297b42a027c73d68cc5a6c69184a6
https://doi.org/10.3390/ijerph20075374
https://doi.org/10.3390/ijerph20075374
Autor:
ALEXANDRE Marques Carrer, FELIPE Valencia de Almeida, VICTOR Takashi Hayashi, REGINALDO Arakaki, EDSON Toshimi Midorikawa, PAULO Sergio Cugnasca
Publikováno v:
Proceedings of the L Brasilian Congress of Engineering Education.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40abb4dc0bbad47ca8f805970c9d0f97
https://doi.org/10.37702/cobenge.2022.4030
https://doi.org/10.37702/cobenge.2022.4030
Autor:
VICTOR Takashi Hayashi, FELIPE Valencia de Almeida, REGINALDO Arakaki, EDSON Toshimi Midorikawa, PAULO Sergio Cugnasca
Publikováno v:
Proceedings of the L Brasilian Congress of Engineering Education.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df61ddf911a3298e78c4e4cacdda5d71
https://doi.org/10.37702/cobenge.2022.3967
https://doi.org/10.37702/cobenge.2022.3967
Autor:
FELIPE Valencia de Almeida, VICTOR Takashi Hayashi, REGINALDO Arakaki, EDSON Toshimi Midorikawa, PAULO Sergio Cugnasca
Publikováno v:
Proceedings of the L Brasilian Congress of Engineering Education.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d9f488c08874aa64aa7ed778149a833
https://doi.org/10.37702/cobenge.2022.3966
https://doi.org/10.37702/cobenge.2022.3966
Autor:
EDITH RANZINI, FELIPE Valencia de Almeida, VICTOR Takashi Hayashi, ALEXANDRE Marques Carrer, MARIA de Fatima Salgueiro, DANIEL Costa Ferreira, REGINALDO Arakaki, EDSON Toshimi Midorikawa, PAULO Sergio Cugnasca
Publikováno v:
Proceedings of the L Brasilian Congress of Engineering Education.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0c3a79f4a059eefdfa0bb8c7694e667
https://doi.org/10.37702/cobenge.2022.3996
https://doi.org/10.37702/cobenge.2022.3996
Autor:
Fabio Hirotsugu Hayashi, Lucas Yuji Harada, Victor Takashi Hayashi, Reginaldo Arakaki, Felipe Valencia De Almeida
Publikováno v:
Anais Estendidos do XXVII Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia 2021).
The Internet of Things enables the data collection of the physical world in real time, raising opportunities for cost reduction and optimization at large scale. However, creating an IoT solution that transforms these data into information by enabling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccb1e3aefe14189017442ff76ea0b678
https://doi.org/10.5753/webmedia_estendido.2021.17614
https://doi.org/10.5753/webmedia_estendido.2021.17614