Alexander G. Parlos

25 papers B 5C 5Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2007 J jnl
Predictive Path Switching Control for Improving the Quality of Service in Real-Time Applications.
J. Sel. Topics Signal Processing
Dan Ye, Alexander G. Parlos
2005 — conf
A Neural Network Method for Induction Machine Fault Detection with Vibration Signal.
ICCSA (2)
Hua Su, Kil To Chong, Alexander G. Parlos
2005 J jnl
Guest Editorial Introduction to the Special Issue on Adaptive Learning Systems in Communication Networks.
IEEE Trans. Neural Networks
Alexander G. Parlos, Chuanyi Ji, Thomas Parisini, Marco Baglietto, Amir F. Atiya, Kimberly C. Claffy
2005 J jnl
Sparse basis selection: new results and application to adaptive prediction of video source traffic.
IEEE Trans. Neural Networks
Amir F. Atiya, Mohamed A. Aly, Alexander G. Parlos
2003 — conf
A transport model for flow processes characterized by time-varying time delays.
CDC
Alexander G. Parlos, Dan Ye
2003 C conf
Control-relevant discretization of nonlinear systems with time-delay using Taylor-Lie series.
ACC
Nikolaos Kazantzis, Kil To Chong, Jong Ho Park, Alexander G. Parlos
2003 J jnl
Prediction of MPEG-coded video source traffic using recurrent neural networks.
IEEE Trans. Signal Process.
Aninda Bhattacharya, Alexander G. Parlos, Amir F. Atiya
2003 J jnl
Sensorless fault diagnosis of induction motors.
IEEE Trans. Ind. Electron.
Kyusung Kim, Alexander G. Parlos, Raj Mohan Bharadwaj
2002 C conf
Detection of induction motor faults-combining signal-based and model-based techniques.
ACC
Alexander G. Parlos, Kyusung Kim, Raj Mohan Bharadwaj
2001 J jnl
An algorithmic approach to adaptive state filtering using recurrent neural networks.
IEEE Trans. Neural Networks
Alexander G. Parlos, Sunil K. Menon, Amir F. Atiya
2001 C conf
Development and experimental demonstration of a model-based fault detection system for electromechanical systems.
ACC
Alexander G. Parlos, Kyusung Kim
2001 J jnl
Neuro-predictive process control using online controller adaptation.
IEEE Trans. Control. Syst. Technol.
Alexander G. Parlos, Sanjay Parthasarathy, Amir F. Atiya
2000 C conf
Control-relevant modeling of the Czockralski single crystal growth process using neural networks.
ACC
Jayakumar Muthusami, Alexander G. Parlos, R. Kumar Pandey, Jo W. Howze
2000 J jnl
Multi-step-ahead prediction using dynamic recurrent neural networks.
Neural Networks
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
2000 C conf
Neuro-predictive process control using online controller adaptation.
ACC
Alexander G. Parlos, Sanjay Parthasarathy, Amir F. Atiya
2000 J jnl
New results on recurrent network training: unifying the algorithms and accelerating convergence.
IEEE Trans. Neural Networks Learn. Syst.
Amir F. Atiya, Alexander G. Parlos
1999 B conf
A neural network-based speed filter for induction motors: Adapting to motor load changes.
IJCNN
Raj Mohan Bharadwaj, Alexander G. Parlos, Hamid A. Toliyat, Sunil K. Menon
1999 B conf
Adaptive state estimation using dynamic recurrent neural networks.
IJCNN
Alexander G. Parlos, Sunil K. Menon, Amir F. Atiya
1999 B conf
Multi-step-ahead prediction using dynamic recurrent neural networks.
IJCNN
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
1994 J jnl
An accelerated learning algorithm for multilayer perceptron networks.
IEEE Trans. Neural Networks
Alexander G. Parlos, Benito Fernández, Amir F. Atiya, Jayakumar Muthusami, Wei Kang Tsai
1994 J jnl
Application of the recurrent multilayer perceptron in modeling complex process dynamics.
IEEE Trans. Neural Networks
Alexander G. Parlos, Kil To Chong, Amir F. Atiya
1994 J jnl
Fuzzy logic and neural networks: clips from the field.
IEEE Trans. Neural Networks
Alexander G. Parlos
1990 B conf
ASDM-a novel neural network model based on sparse distributed memory.
IJCNN
Wei Kang Tsai, Alexander G. Parlos, Benito Fernández
1990 — conf
An associative memory knowledge base for diagnostic and high level control functions.
TAI
Wei Kang Tsai, Alexander G. Parlos, Benito Fernández
1990 B conf
Nonlinear dynamic system identification using artificial neural networks (ANNs).
IJCNN
Benito Fernández, Alexander G. Parlos, Wei Kang Tsai