• Publications
  • Influence
Facial expression recognition using constructive feedforward neural networks
  • L. Ma, K. Khorasani
  • Computer Science, Medicine
  • IEEE Transactions on Systems, Man, and…
  • 1 June 2004
A new technique for facial expression recognition is proposed, which uses the two-dimensional (2D) discrete cosine transform (DCT) over the entire face image as a feature detector and a constructiveExpand
  • 218
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An integral manifold approach to the feedback control of flexible joint robots
The control problem for robot manipulators with flexible joints is considered. The results are based on a recently developed singular perturbation formulation of the manipulator equations of motionExpand
  • 291
  • 12
Constructive feedforward neural networks using Hermite polynomial activation functions
  • L. Ma, K. Khorasani
  • Medicine, Computer Science
  • IEEE Transactions on Neural Networks
  • 1 July 2005
In this paper, a constructive one-hidden-layer network is introduced where each hidden unit employs a polynomial function for its activation function that is different from other units. Specifically,Expand
  • 109
  • 12
Actuator Fault Detection and Isolation for a Network of Unmanned Vehicles
This technical note investigates development, design and analysis of actuator fault detection and isolation (FDI) filters for a network of unmanned vehicles. It is shown that actuator faultExpand
  • 152
  • 8
Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients
In this paper, a novel computationally intelligent-based electrocardiogram (ECG) signal classification methodology using a deep learning (DL) machine is developed. The focus is on patient screeningExpand
  • 116
  • 7
Dynamic neural network-based fault diagnosis of gas turbine engines
In this paper, a neural network-based fault detection and isolation (FDI) scheme is presented to detect and isolate faults in a highly nonlinear dynamics of an aircraft jet engine. Towards this end,Expand
  • 130
  • 6
Adaptive time delay neural network structures for nonlinear system identification
Abstract In this paper, motivated by the adaptive time delay neural networks (ATDNN), four structures are developed for identifying different classes of nonlinear systems expressed in theExpand
  • 75
  • 6
Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach
Fault Detection and Diagnosis.- Proposed FDII for Nonlinear Systems with Full-State Measurement.- Proposed FDII for Nonlinear Systems with Partial State Measurement.- Application to a Satellite'sExpand
  • 80
  • 6
A Recurrent Neural-Network-Based Sensor and Actuator Fault Detection and Isolation for Nonlinear Systems With Application to the Satellite's Attitude Control Subsystem
This paper presents a robust fault detection and isolation (FDI) scheme for a general class of nonlinear systems using a neural-network-based observer strategy. Both actuator and sensor faults areExpand
  • 146
  • 5
An Adaptive Structure Neural Networks with Application to EEG Automatic Seizure Detection
This paper introduces a new algorithm for adaptively adjusting the structure of a multi-layer back-propagation network. The proposed algorithm belongs to the class of neuron generating strategies asExpand
  • 113
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