Fusing unscented Kalman filter to detect and isolate sensor faults in DC microgrids with CPLs

A Vafamand, B Moshiri… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Occurring faults in microgrids (MGs) and their installed sensors is dispensable and should
be detected as fast as possible to prevent damages to the power system. This article …

Quality-based multimodal classification using tree-structured sparsity

S Bahrampour, A Ray… - Proceedings of the …, 2014 - openaccess.thecvf.com
Recent studies have demonstrated advantages of information fusion based on sparsity
models for multimodal classification. Among several sparsity models, tree-structured sparsity …

Ticket-based reliable routing in vanet

G Yan, DB Rawat, S El-Tawab - 2009 IEEE 6th International …, 2009 - ieeexplore.ieee.org
One of the notoriously difficult problems in vehicular ad-hoc networks is to ensure that
established paths do not break before the end of data transmission. This is a difficult …

A new PCA adaptive rough fuzzy cluster based granulation algorithm for fault detection and diagnosis

K Salahshoor, HK Alaei… - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
A new PCA adaptive algorithm is introduced, utilizing a rough fuzzy cluster-based
granulation scheme for fault detection and diagnosis purposes. This granulated cluster …

Sparse representation for time-series classification

S Bahrampour, NM Nasrabad, A Ray - Pattern Recognition And Big …, 2017 - World Scientific
This chapter studies the problem of time-series classification and presents an overview of
recent developments in the area of feature extraction and information fusion. In particular, a …

Sparse Representation for Information Fusion

S Bahrampour - 2015 - etda.libraries.psu.edu
Sparse representation methods have recently attracted much attention in the signal
processing and machine learning community. The main underlying idea is that most of …