This paper reports on a theoretical Bayesian modeling development for residual life prediction in the context of condition-based maintenance. At each monitoring point during a comp...
Abstract--Sensor localization using channel energy measurements of distributed sensors has been studied in various scenarios. However, it is usually assumed that the target does no...
Christian R. Berger, Sora Choi, Shengli Zhou, Pete...
Submission Deadline: December 14, 2009 The Journal of Visual Languages and Computing (http://www.elsevier.com/locate/jvlc, impact factor: 0.863) invites authors to submit papers fo...
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...