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IJCSA
2007
100views more  IJCSA 2007»
15 years 6 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
TNN
2008
171views more  TNN 2008»
15 years 6 months ago
Adaptive Dynamic Inversion via Time-Scale Separation
Abstract--This paper presents a full state feedback adaptive dynamic inversion method for uncertain systems that depend nonlinearly upon the control input. Using a specialized set ...
Naira Hovakimyan, E. Lavretsky, Chengyu Cao
ICASSP
2008
IEEE
16 years 1 months ago
HMM adaptation using a phase-sensitive acoustic distortion model for environment-robust speech recognition
In this paper, we present a new approach to HMM adaptation that jointly compensates for additive and convolutive acoustic distortion in environment-robust speech recognition. The ...
Jinyu Li, Li Deng, Dong Yu, Yifan Gong, Alex Acero
HICSS
2009
IEEE
165views Biometrics» more  HICSS 2009»
16 years 1 months ago
Studying Knowledge Management System Success in System Administration
Significant temporal and monetary costs are associated with the development and implementation of a knowledge management system (KMS). To justify this investment, it is important ...
Nicole F. Velasquez, Alexandra Durcikova, Rajiv Sa...
IJCV
2008
188views more  IJCV 2008»
15 years 6 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin