Search Results - "Cipriano, Carolina L. S."

Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning by Diniz, João O. B., Quintanilha, Darlan B. P., Santos Neto, Antonino C., da Silva, Giovanni L. F., Ferreira, Jonnison L., Netto, Stelmo M. B., Araújo, José D. L., Da Cruz, Luana B., Silva, Thamila F. B., da S. Martins, Caio M., Ferreira, Marcos M., Rego, Venicius G., Boaro, José M. C., Cipriano, Carolina L. S., Silva, Aristófanes C., de Paiva, Anselmo C., Junior, Geraldo Braz, de Almeida, João D. S., Nunes, Rodolfo A., Mogami, Roberto, Gattass, M.

“…At the end of 2019, the World Health Organization (WHO) reported pneumonia that started in Wuhan, China, as a global emergency problem. Researchers quickly…”
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Temporal Convolutional Network applied for Forecasting Individual Monthly Electric Energy Consumption by Lemos, Victor H. B., Almeida, Joao D. S., Paiva, Anselmo C., Junior, Geraldo B., Silva, Aristofanes C., Neto, Stelmo M. B., Lima, Alan C. M., Cipriano, Carolina L. S., Fernandes, Eduardo C., Silva, Marcia I. A.

“…The task of predicting energy consumption is a problem of great interest in electric power companies. A minimal error prediction is essential for identifying…”
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Forecasting of individual electricity consumption using Optimized Gradient Boosting Regression with Modified Particle Swarm Optimization by Sepulveda, Luis F.M., Diniz, Petterson S., Diniz, João O.B., Netto, Stelmo M.B., Cipriano, Carolina L.S., Araújo, Alexandre C., Lemos, Victor H.B., Pessoa, Alexandre C.P., Quintanilha, Darlan B.P., Almeida, João D.S., Silva, Aristófanes C., Paiva, Anselmo C., Braz, Geraldo, Silva, Márcia I.A., Monteiro, Eliana M.G., Silva, Italo F.S., Fernandes, Eduardo C.

“…The task of forecasting consumers’ energy consumption is currently a trend in energy supply companies. An accurate prediction of energy consumption is a…”
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