2

Control Conditions for Equal Power Sharing in Multi-Area Power Systems for Resilience Against False Data Injection Attacks
Z Ahmed, MZH Shah et. al
DOI
Feature Extraction and Fault Detection Scheme via Improved Locality Preserving Projection and SVDD
Manifold learning is widely adopted for the fault detection of industrial processes. However, the quality of low dimensional embedding …
M. Z. H. Shah, Z. Ahmed, and L. Hu
Cite DOI
Feature Extraction and Fault Detection Scheme via Improved Locality Preserving Projection and SVDD
Unsupervised Feature Representation Based on Deep Boltzmann Machine for Seizure Detection
The Electroencephalogram (EEG) pattern of seizure activities is highly individual-dependent and requires experienced specialists to …
T. Liu, M. Z. H. Shah, X. Yan, and D.P. Yang
Cite DOI
Unsupervised Feature Representation Based on Deep Boltzmann Machine for Seizure Detection
Weighted Linear Local Tangent Space Alignment via Geometrically Inspired Weighted PCA for Fault Detection
Principal component analysis (PCA) is widely adopted in local tangent space alignment (LTSA) to estimate local tangent spaces. These …
M. Z. H. Shah, L. Hu, and Z. Ahmed
Cite DOI
Weighted Linear Local Tangent Space Alignment via Geometrically Inspired Weighted PCA for Fault Detection
An overview of Recent Advances of resilient Consensus for Multiagent systems under Attacks
Consensus control of multiagent systems (MASs) has been one of the most extensive research topic in the field of robotics and …
M.M. A, L Du, Z. Ahmed, and M. Z. H. Shah
Cite DOI
An overview of Recent Advances of resilient Consensus for Multiagent systems under Attacks
Modified LPP based on Riemannian Metric for Feature Extraction and Fault Detection
Dimensionality reduction methods based on manifold learning are widely adopted for industrial process monitoring. However, in many …
M. Z. H. Shah, Z. Ahmed, and L. Hu
Cite DOI
Modified LPP based on Riemannian Metric for Feature Extraction and Fault Detection