Seguir
Adriana Castro
Adriana Castro
Dirección de correo verificada de usil.pe
Título
Citado por
Citado por
Año
Knowledge discovery in neural networks with application to transformer failure diagnosis
ARG Castro, V Miranda
IEEE Transactions on Power Systems 20 (2), 717-724, 2005
1512005
Improving the IEC table for transformer failure diagnosis with knowledge extraction from neural networks
V Miranda, ARG Castro
IEEE transactions on power delivery 20 (4), 2509-2516, 2005
1482005
Diagnosing faults in power transformers with autoassociative neural networks and mean shift
V Miranda, ARG Castro, S Lima
IEEE Transactions on Power Delivery 27 (3), 1350-1357, 2012
1332012
An interpretation of neural networks as inference engines with application to transformer failure diagnosis
ARG Castro, V Miranda
International Journal of Electrical Power & Energy Systems 27 (9-10), 620-626, 2005
532005
Home appliance identification for NILM systems based on deep neural networks
D de Paiva Penha, ARG Castro
International Journal of Artificial Intelligence and Applications (IJAIA) 9 …, 2018
432018
Producción de lacasa utilizando Pleurotus ostreatus sobre cáscaras de plátano y bagazo de caña
K Manjarrés, A Castro, ER Sandoval
Revista Lasallista de investigación 7 (2), 9-15, 2010
412010
Competitive autoassociative neural networks for electrical appliance identification for non-intrusive load monitoring
LR Morais, ARG Castro
IEEE Access 7, 111746-111755, 2019
362019
Transformer failure diagnosis by means of fuzzy rules extracted from Kohonen Self-Organizing Map
ACM da Silva, ARG Castro, V Miranda
International Journal of Electrical Power & Energy Systems 43 (1), 1034-1042, 2012
352012
Transmission line fault classification using hidden Markov models
JCA Freire, ARG Castro, MS Homci, BS Meiguins, JM De Morais
IEEE Access 7, 113499-113510, 2019
332019
Convolutional neural network applied to the identification of residential equipment in non-intrusive load monitoring systems
D de Paiva Penha, ARG Castro
3rd International Conference on Artificial Intelligence and Applications, 11-21, 2017
322017
Mapping neural networks into rule sets and making their hidden knowledge explicit application to spatial load forecasting
A Castro, V Miranda
Proceedings of the 14th Power System Computation Conference, 2002
262002
Transformer fault diagnosis based on autoassociative neural networks
ARG Castro, V Miranda, S Lima
2011 16th International Conference on Intelligent System Applications to …, 2011
222011
Exercise prescription in oncology patients: General principles
MJ Azevedo, S Viamonte, A Castro
Rehabilitación 47 (3), 170-178, 2013
192013
Fault classification on transmission lines using knn-dtw
BG Costa, JCA Freire, HS Cavalcante, M Homci, ARG Castro, R Viegas, ...
International Conference on Computational Science and Its Applications, 174-187, 2017
182017
Sistema inteligente para diagnóstico de faltas incipientes em transformadores baseado em redes neurais auto-associativas
A Castro, V Miranda
Proceedings of SBSE, 2010
92010
Knowledge extraction from artificial neural networks-An application to transformer fault diagnosis
ARG Castro
Ph. D. Thesis, Ed. FEUP-Faculty of Engineering, University of Porto, Portugal, 2004
92004
Automated Non-Intrusive Load Monitoring System Using Stacked Neural Networks and Numerical Integration
SJ do Carmo Corrêa, ARG Castro
IEEE Access 8, 210566-210581, 2020
62020
Variability studies for the Sossego 41 ktpd grinding circuit
MG Bergerman, J Morais, A Castro, MAN Rosa, H Delboni Júnior
INTERNATIONAL MINERAL PROCESSING CONFERENCE 24, 407-416, 2008
62008
Previsão na Demanda de Vendas baseado em Regras Linguísticas e na lógica Fuzzy
WRC Silva, ADP Lino, ARG Castro, EL Favero
INFOCOMP Journal of Computer Science 5 (3), 52-58, 2006
62006
Estudio de la cinética de deshidratación osmótica de la uchuva (Physalis peruviana)
A Castro, K Manjarres, A Ospina, Y Pineda
Libro: Physalis Peruviana, Uchuva: Deshidratación de frutas–Técnicas …, 2006
52006
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20