Search Results - "Abreu, Thays"

A new formulation of multinodal short-term load forecasting based on adaptive resonance theory with reverse training by Amorim, Aline J., Abreu, Thays A., Tonelli-Neto, Mauro S., Minussi, Carlos R.

“…•The multinodal forecast model predicts the load of 24 h ahead.•The concept of reverse training is implemented for the Fuzzy-ARTMAP neural network.•Stability…”
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Thalamus Segmentation Using Deep Learning with Diffusion MRI Data: An Open Benchmark by Pinheiro, Gustavo Retuci, Brusini, Lorenza, Carmo, Diedre, Prôa, Renata, Abreu, Thays, Appenzeller, Simone, Menegaz, Gloria, Rittner, Leticia

“…The thalamus is a subcortical brain structure linked to the motor system. Since certain changes within this structure are related to diseases, such as multiple…”
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Using Aggregated Electrical Loads for the Multinodal Load Forecasting by Moreira-Júnior, Joaquim R., Abreu, Thays, Minussi, Carlos R., Lopes, Mara L. M.

“…Forecasting electrical loads is essential from a practical and economic point of view. With this forecast, it is possible to plan the supply of energy safely…”
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Anemia in elderly residents of a long-term care institution by Ferreira, Yngrid Dieguez, Faria, Lilian de Fatima Costa, Gorzoni, Milton Luiz, Gonçalves, Thais Andrea Dos Santos, Filho, José Wilson Curi Frascareli, Lima, Thays Helena de Abreu

“…The Brazilian elderly population is growing exponentially, making prevention and treatment of chronic diseases a priority in this age group. Anemia in older…”
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Multinodal Load Forecast Using Euclidean ARTMAP Neural Network by Ferreira, Andreia. B. A., Minussi, Carlos. R., Lotufo, Ana D. P., Lopes, Mara L. M., Chavarette, Fabio R., Abreu, Thays. A.

“…Forecasting electric demand is a fundamental part of the electric power systems, since, it provides useful information on several aspects of the network,…”
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Multinodal load forecasting for distribution systems using a fuzzy-artmap neural network by Abreu, Thays, Amorim, Aline J., Santos-Junior, Carlos R., Lotufo, Anna D.P., Minussi, Carlos R.

“…•A predictor system (multinodal forecasting) is proposed considering several points of the electrical network.•The processing time is equivalent to the…”
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A new approach to online training for the Fuzzy ARTMAP artificial neural network by Santos-Junior, Carlos R., Abreu, Thays, Lopes, Mara L.M., Lotufo, Anna D.P.

“…The evolution of internet resources has led to an increase in the flow of data and, consequently, the need for classification or forecasting models that…”
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Load forecasting for smart grid based on continuous-learning neural network by da Silva, Marcela A., Abreu, Thays, Santos-Júnior, Carlos Roberto, Minussi, Carlos R.

“…•It is proposed a new method for load forecasting applied to smart grids.•This method is based on using the Fuzzy-ARTMAP neural network with continuous…”
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Dependence of coercivity, relative permeability and magnetic losses on oscillating magnetic field frequencies and maximum polarisation for NGO and HGO steels by de Matos, Lucas Carlos Soares, Costa, Ludmilla Ferreira, de Abreu, Thays Pereira, Dias, Johnatan Fernando, Silveira, Carolina Cesconetto, de Almeida, Adriano Alex, de Oliveira Júnior, José Rogério, dos Santos Nunes, Cristiana, Silva Neto, Almir, de Castro Santos, Mirela, Rocco, Daniel Leandro

“…This study investigated two types of electrical steels: high permeability grain oriented (HGO) 3.25 wt%Si and 0.25 mm thick and two non-grain oriented (NGO)…”
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Dependence of the cut region on the magnetic losses of a non-grain-oriented Fe-Si steel by Ferreira, Jandir Caetano, Soares de Matos, Lucas Carlos, Costa, Ludmilla Ferreira, de Abreu, Thays Pereira, Martins Alves, Edivania Maria, Mendonca, Gabriel Alves, Meireles, Leonel Muniz, Neto, Almir Silva, Rocco, Daniel Leandro

“…The final cutting process of electrical steel sheets is well-known to negatively impact their magnetic properties. Specifically, mechanical cutting introduces…”
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Electrical Customer Profile Using Fuzzy Logic Theory by Abreu, T., Minussi, C., Lopes, M., Alves, U., Lotufo, A.

“…Considering the increasing electrical energy demand in residences, it is necessary to know the detailed pattern of electricity use, to change the behavior of…”
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DTI-based Corpus Callosum parcellation using the Tensorial Morphological Gradient and Self-Organizing Maps by Santana, Caio, Abreu, Thays, Rodrigues, Joany, Julio, Paulo, Appenzeller, Simone, Rittner, Leticia

“…The Corpus Callosum (CC) is a major white matter structure that plays a crucial role in the communication between the cerebral hemispheres and is associated…”
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Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guide by Carmo, Diedre, Pinheiro, Gustavo, Rodrigues, Lívia, Abreu, Thays, Lotufo, Roberto, Rittner, Letícia

“…Medical image segmentation is an increasingly popular area of research in medical imaging processing and analysis. However, many researchers who are new to the…”
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SEGURANÇA DO PACIENTE: UM OLHAR ACERCA DOS ERROS DE MEDICAÇÃO by Abreu Carvalho, Thays, Riegel, Fernando, Silveira siqueira, Diego

“…Objetivo: identificar estratégias utilizadas na prevenção de eventos adversos decorrentes da administração de medicamentos. Metodologia: trata-se de uma…”
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Residential electric load curve profile based on fuzzy systems by Abreu, Thays, Alves, Uilian N. L. T., Minussi, Carlos R., Lotufo, Anna Diva P., Lopes, Mara L. M.

“…Electric energy demand in residences represents around 30% of the global demand. This requires a detailed knowledge about the electrical load patterns, leading…”
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