Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Cicero Ferreira Fernandes Costa Filho"'
A Hybrid Deep Neural Network Architecture for Day-Ahead Electricity Forecasting: Post-COVID Paradigm
Autor:
Neilson Luniere Vilaça, Marly Guimarães Fernandes Costa, Cicero Ferreira Fernandes Costa Filho
Publikováno v:
Energies, Vol 16, Iss 8, p 3546 (2023)
Predicting energy demand in adverse scenarios, such as the COVID-19 pandemic, is critical to ensure the supply of electricity and the operation of essential services in metropolitan regions. In this paper, we propose a deep learning model to predict
Externí odkaz:
https://doaj.org/article/0b9af3089ee04a83b15b9422f9d0fa8f
Autor:
Clahildek Matos Xavier, Marly Guimaraes Fernandes Costa, Cicero Ferreira Fernandes Costa Filho
Publikováno v:
IEEE Access, Vol 8, Pp 24229-24241 (2020)
This study proposes determining optimal locations for expanding a higher education system by using populational and social criteria. With this aim, this work evaluates single objective location models in determining the optimal distribution of higher
Externí odkaz:
https://doaj.org/article/17c8e41050df4a6a907e6480bb308b23
Autor:
Bashir Zeimarani, Marly Guimaraes Fernandes Costa, Nilufar Zeimarani Nurani, Sabrina Ramos Bianco, Wagner Coelho De Albuquerque Pereira, Cicero Ferreira Fernandes Costa Filho
Publikováno v:
IEEE Access, Vol 8, Pp 133349-133359 (2020)
In recent years, convolutional neural networks (CNNs) have found many applications in medical image analysis. Having enough labeled data, CNNs could be trained to learn image features and used for object localization, classification, and segmentation
Externí odkaz:
https://doaj.org/article/70f97f255cb747438cde019373c0ce1d
Methodology of Data Fusion Using Deep Learning for Semantic Segmentation of Land Types in the Amazon
Autor:
Joel Parente De Oliveira, Marly Guimaraes Fernandes Costa, Cicero Ferreira Fernandes Costa Filho
Publikováno v:
IEEE Access, Vol 8, Pp 187864-187875 (2020)
This study proposes a methodology using deep learning and a multi-resolution segmentation algorithm to perform the semantic segmentation of remote sensing images. Initially the image is segmented using a CNN, and then an image with homogeneous region
Externí odkaz:
https://doaj.org/article/76a7190f37424c5f881cd692e9479941
Autor:
Makoto Miyagawa, Marly Guimaraes Fernandes Costa, Marco Antonio Gutierrez, Joao Pedro Guimaraes Fernandes Costa, Cicero Ferreira Fernandes Costa Filho
Publikováno v:
IEEE Access, Vol 7, Pp 66167-66175 (2019)
Optical coherence tomography (OCT) technology enables experts to analyze coronary lesions from high-resolution intravascular images. Studies have shown a relationship between vascular bifurcation and a higher occurrence of wall thickening and lesions
Externí odkaz:
https://doaj.org/article/28a99d185c464abfb98d94ee1fd51d83
Autor:
Cicero Ferreira Fernandes Costa Filho, Lucas Souza Barreto, Juliana Alves de Oliveira, Paulo Vitor de Castro Freitas, Marly Guimarães Fernandes Costa
Publikováno v:
18th International Symposium on Medical Information Processing and Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85f7699ae6b42b31c13f5b8e2740461c
https://doi.org/10.1117/12.2670234
https://doi.org/10.1117/12.2670234
Publikováno v:
Polytechnica. 4:15-25
Smartphones are present in most people’s daily lives. Sensors embedded in these devices open the possibility of monitoring users’ activities. The classification of the intricate data patterns collected through these sensors is a challenging task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e42c4ac47ad9716c7c32efb0b37422b
https://doi.org/10.1007/s41050-021-00028-8
https://doi.org/10.1007/s41050-021-00028-8
Autor:
Cicero Ferreira Fernandes Costa Filho, Marly Guimarães Fernandes Costa, Clahildek Matos Xavier
Publikováno v:
IEEE Access, Vol 8, Pp 24229-24241 (2020)
This study proposes determining optimal locations for expanding a higher education system by using populational and social criteria. With this aim, this work evaluates single objective location models in determining the optimal distribution of higher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90ecee2577a3a39a3b6e4e71a6b76c56
https://ieeexplore.ieee.org/document/8974268/
https://ieeexplore.ieee.org/document/8974268/
Publikováno v:
17th International Symposium on Medical Information Processing and Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43eb6a1f7471d7658df7495287bc97b3
https://doi.org/10.1117/12.2605110
https://doi.org/10.1117/12.2605110
Autor:
Gustavo de Aquino e Aquino, Diego G. De A. Vieira, Mikaela K. Serrao, Emmerson S.R. Da Silva, M. G. F. Costa, Elton D. N. De Alencar, João Victor Campos de Negreiro, Cicero Ferreira Fernandes Costa Filho
Publikováno v:
2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).
In the last years, the pervasive use of smartphones and wearable devices, with digital sensors, like accelerometers, gyroscopes, and magnetometers, makes it easy to assess activities of daily living, with several applications and benefits for human b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16cd832f105bed9b8f56fee4d6f95800
https://doi.org/10.1109/iceccme52200.2021.9590938
https://doi.org/10.1109/iceccme52200.2021.9590938