Zobrazeno 1 - 10
of 29
pro vyhledávání: '"E.S. Garcia-Trevino"'
Autor:
Pilar Gomez-Gil, Vicente Alarcon-Aquino, Juan Manuel Ramirez-Cortes, E.S. Garcia-Trevino, E. Juárez-Guerra
Publikováno v:
Journal of Signal Processing Systems. 92:187-211
In this paper, we present a novel neural network able to classify epileptic seizures using electroencephalogram (EEG) signals, called “Multidimensional Radial Wavelons Feed-Forward Wavelet Neural Network” (MRW-FFWNN). The network is part of a cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63a5c91a47a2e9512ed1700a803cf395
https://doi.org/10.1007/s11265-019-01456-7
https://doi.org/10.1007/s11265-019-01456-7
Akademický článek
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Publikováno v:
Journal of Cleaner Production. 112:2632-2641
Global warming, caused mainly by increased worldwide emissions of greenhouse gases, is currently one of the greatest threats to the environment and human societies. Mexico has set an ambitious goal of reducing 30% of its greenhouse gases emissions by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6e49d8b45dbff4a7978ff892b5ca538
https://doi.org/10.1016/j.jclepro.2015.09.113
https://doi.org/10.1016/j.jclepro.2015.09.113
Publikováno v:
Biological Invasions. 17:1215-1225
Previous studies have demonstrated that most introduced species go through rapid phenotypic change during their first decades to centuries of being introduced to a new range. However, little is known about the trends these phenotypic changes follow t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d8135079ef68f2eb92f4120104ac2db
https://doi.org/10.1007/s10530-014-0789-8
https://doi.org/10.1007/s10530-014-0789-8
Autor:
Israel Cruz-Vega, Pilar Gomez-Gil, Juan Manuel Ramirez-Cortes, E.S. Garcia-Trevino, Jose de Jesus Rangel-Magdaleno
Publikováno v:
I2MTC
This paper presents an assessment of three classification models, all based on computational intelligence techniques, for the automatic identification of three possible conditions found in induction motors: healthy, with a half broken rotor bar or wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3f53652ba2c01578862dc66f233bd26
https://doi.org/10.1109/i2mtc.2016.7520396
https://doi.org/10.1109/i2mtc.2016.7520396
Autor:
E.S. Garcia-Trevino, Javier A. Barria
Publikováno v:
Computational Statistics & Data Analysis. 56:327-344
There has been an important emergence of applications in which data arrives in an online time-varying fashion (e.g. computer network traffic, sensor data, web searches, ATM transactions) and it is not feasible to exchange or to store all the arriving
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db779a2f26a5af16a0a260cd83c9d747
https://doi.org/10.1016/j.csda.2011.08.009
https://doi.org/10.1016/j.csda.2011.08.009
Publikováno v:
ITSC
This paper proposes a novel inference method to estimate lane-level traffic flow, time occupancy and vehicle inter-arrival time on road segments where local information could not be measured and assessed directly. The main contributions of the propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84f1c534a1cfb2cfccc9f335a437b85f
https://doi.org/10.1109/itsc.2010.5625191
https://doi.org/10.1109/itsc.2010.5625191
Publikováno v:
CONIELECOMP
Wavelet-networks are inspired by both the feed forward neural networks and the theory underlying wavelet decompositions. This special kind of networks has proved its advantages over other networks schemes, particularly in approximation and prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::815b64bd460b2c6ada4d7024dbc823c7
https://doi.org/10.1109/conielecomp.2007.39
https://doi.org/10.1109/conielecomp.2007.39
Publikováno v:
2006 15th International Conference on Computing.
Wavelet-networks are inspired by both the feed-forward neural networks and the theory underlying wavelet decompositions. This special kind of networks has proved its advantages over other network schemes, particularly in approximation and prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a64123523d4426541273d2cca1f2ad63
https://doi.org/10.1109/cic.2006.41
https://doi.org/10.1109/cic.2006.41
Publikováno v:
CONIELECOMP
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theory underlying wavelet decompositions. Wavelet networks a class of neura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b0d92a8ef049b450f04719e81525777
https://doi.org/10.1109/conielecomp.2006.21
https://doi.org/10.1109/conielecomp.2006.21