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Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017(3)
Proceedings of the International Joint Conference on Neural Networks(2)
2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings(1)
9th International Conference on Management of Digital EcoSystems, MEDES 2017(1)
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Clustering algorithm using rough set theory for unsupervised feature selection
Conference ObjectAbstract: Nowadays, the available data to describe real world problems grows in considerable manner, due to thPalabras claves:Autores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusAttribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery
ArticleAbstract: Features extracted from real world applications increase dramatically, while machine learning methodPalabras claves:Attribute clustering, Fault severity classification, feature selection, Rotating machinery, Rough setAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusAutomatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation
ArticleAbstract: Signals captured in rotating machines to obtain the status of their components can be considered asPalabras claves:Auto-encoder, Convolution, deep learning, Helical gearbox, Wavelet packetsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Fernando Sancho-Caparrini, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusAn autonomic traffic analysis proposal using Machine Learning techniques
Conference ObjectAbstract: Network analysis has recently become in one of the most challenging tasks to handle due to the rapidPalabras claves:Autonomic computing, Machine learning, Quality of service, Traffic analysisAutores:Budoin C., Exposito E., Fannia Pacheco, Gineste M.Fuentes:scopusA Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification
ArticleAbstract: A bearing is an essential component in rotating machinery, one of its principal cause of failure, anPalabras claves:Bearing, Clustering, fault classification, Probabilistic Fuzzy systems, vibration analysisAutores:Delgado M., Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Ledo L., Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusA Wearable Machine Learning Solution for Internet Traffic Classification in Satellite Communications
Conference ObjectAbstract: In this paper, we present an architectural framework to perform Internet traffic classification in SPalabras claves:Deep packet inspection, Internet traffic classification, Machine learning, Satellite communicationsAutores:Exposito E., Fannia Pacheco, Gineste M.Fuentes:scopusA comparison of fuzzy clustering algorithms for bearing fault diagnosis
Conference ObjectAbstract: Bearings are one of the most omnipresent and vulnerable components in rotary machinery such as motorPalabras claves:Bearing, fault classification, Fault Detection, Fault diagnosis, Fcm, FCMFP, Fn-dbscan, Fuzzy Clustering, fuzzy rules, Gustafson-Kessel clusteringAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ulutagay G.Fuentes:googlescopusA framework to classify heterogeneous Internet traffic with Machine Learning and Deep Learning techniques for satellite communications
ArticleAbstract: Nowadays, the Internet network system serves as a platform for communication, transaction, and enterPalabras claves:Encrypted traffic, Internet traffic classification, Machine learning, QoS management, Satellite communicationsAutores:Exposito E., Fannia Pacheco, Gineste M.Fuentes:scopusA fuzzy transition based approach for fault severity pbkp_rediction in helical gearboxes
ArticleAbstract: Rotating machinery is an important device supporting manufacturing processes, and a wide research woPalabras claves:Fault detection and diagnosis, Fault severity classification, Fault severity pbkp_rediction, Fuzzy pbkp_rediction, Fuzzy transition probabilityAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusA methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery
Conference ObjectAbstract: Selecting an adequate machine learning model, e.g. for feature selection or classification, is a verPalabras claves:Autores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopus