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» Diagnostics for functional regression via residual processes
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ENGL
2007
103views more  ENGL 2007»
13 years 5 months ago
Fault Diagnosis of Manufacturing Processes via Genetic Algorithm Approach
—Instantaneous detection and diagnosis of various faults and break-downs in industrial processes is required to reduce production losses and damage to equipments. A solved knowle...
Stefania Gallova
ICASSP
2011
IEEE
12 years 9 months ago
Sparse variable reduced rank regression via Stiefel optimization
Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...
Magnus O. Ulfarsson, Victor Solo
CEC
2010
IEEE
13 years 6 months ago
Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling
An evolutionary approach for the optimization of microarray coatings produced via sol-gel chemistry is presented. The aim of the methodology is to face the challenging aspects of t...
Laura Villanova, Paolo Falcaro, Davide Carta, Iren...
IV
2008
IEEE
105views Visualization» more  IV 2008»
13 years 11 months ago
A Dual-View Visualization of In-Car Communication Processes
With the increasing complexity of in-car communication architectures, their diagnostics have become essential for automotive development and maintenance. In order to help engineer...
Michael Sedlmair, Wolfgang Hintermaier, Konrad Sto...
CDC
2008
IEEE
130views Control Systems» more  CDC 2008»
13 years 11 months ago
Predictor estimation via Gaussian regression
Abstract— A novel nonparametric paradigm to model identification has been recently proposed where, in place of postulating finite-dimensional models of the system transfer func...
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe ...