Sutharshan Rajasegarar
Sutharshan Rajasegarar
School of Information Technology, Deakin University
Verified email at unimelb.edu.au
Title
Cited by
Cited by
Year
Non-intrusive load monitoring approaches for disaggregated energy sensing: A survey
A Zoha, A Gluhak, MA Imran, S Rajasegarar
Sensors 12 (12), 16838-16866, 2012
8662012
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
SM Erfani, S Rajasegarar, S Karunasekera, C Leckie
Pattern Recognition 58, 121-134, 2016
6522016
Distributed anomaly detection in wireless sensor networks
S Rajasegarar, C Leckie, M Palaniswami, JC Bezdek
2006 10th IEEE Singapore international conference on communication systems, 1-5, 2006
3172006
Anomaly detection in wireless sensor networks
S Rajasegarar, C Leckie, M Palaniswami
IEEE Wireless Communications 15 (4), 34-40, 2008
3062008
Quarter sphere based distributed anomaly detection in wireless sensor networks
S Rajasegarar, C Leckie, M Palaniswami, JC Bezdek
2007 IEEE International Conference on Communications, 3864-3869, 2007
2132007
Parking availability prediction for sensor-enabled car parks in smart cities
Y Zheng, S Rajasegarar, C Leckie
2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor …, 2015
1912015
Centered hyperspherical and hyperellipsoidal one-class support vector machines for anomaly detection in sensor networks
S Rajasegarar, C Leckie, JC Bezdek, M Palaniswami
IEEE Transactions on Information Forensics and Security 5 (3), 518-533, 2010
1582010
A Hybrid Approach to Clustering in Big Data
D Kumar, JC Bezdek, M Palaniswami, S Rajasegarar, C Leckie, ...
IEEE Transactions on Cybernetics, 2015
113*2015
Labelled data collection for anomaly detection in wireless sensor networks
S Suthaharan, M Alzahrani, S Rajasegarar, C Leckie, M Palaniswami
2010 sixth international conference on intelligent sensors, sensor networks …, 2010
1082010
Anomaly detection in wireless sensor networks in a non-stationary environment
C O'Reilly, A Gluhak, MA Imran, S Rajasegarar
IEEE Communications Surveys & Tutorials 16 (3), 1413-1432, 2014
962014
Clustering ellipses for anomaly detection
M Moshtaghi, TC Havens, JC Bezdek, L Park, C Leckie, S Rajasegarar, ...
Pattern Recognition 44 (1), 55-69, 2011
952011
Hyperspherical cluster based distributed anomaly detection in wireless sensor networks
S Rajasegarar, C Leckie, M Palaniswami
Journal of Parallel and Distributed Computing 74 (1), 1833-1847, 2014
932014
Elliptical anomalies in wireless sensor networks
S Rajasegarar, JC Bezdek, C Leckie, M Palaniswami
ACM Transactions on Sensor Networks (TOSN) 6 (1), 1-28, 2010
822010
Fog-empowered anomaly detection in IoT using hyperellipsoidal clustering
L Lyu, J Jin, S Rajasegarar, X He, M Palaniswami
IEEE Internet of Things Journal 4 (5), 1174-1184, 2017
622017
Anomaly detection by clustering ellipsoids in wireless sensor networks
M Moshtaghi, S Rajasegarar, C Leckie, S Karunasekera
2009 International Conference on Intelligent Sensors, Sensor Networks and …, 2009
602009
Anomaly detection in environmental monitoring networks [application notes]
JC Bezdek, S Rajasegarar, M Moshtaghi, C Leckie, M Palaniswami, ...
IEEE Computational Intelligence Magazine 6 (2), 52-58, 2011
492011
Real-time urban microclimate analysis using internet of things
P Rathore, AS Rao, S Rajasegarar, E Vanz, J Gubbi, M Palaniswami
IEEE Internet of Things Journal 5 (2), 500-511, 2017
462017
A visual-numeric approach to clustering and anomaly detection for trajectory data
D Kumar, JC Bezdek, S Rajasegarar, C Leckie, M Palaniswami
The Visual Computer 33 (3), 265-281, 2017
462017
Smart car parking: temporal clustering and anomaly detection in urban car parking
Y Zheng, S Rajasegarar, C Leckie, M Palaniswami
2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor …, 2014
462014
Improving load forecasting based on deep learning and K-shape clustering
F Fahiman, SM Erfani, S Rajasegarar, M Palaniswami, C Leckie
2017 International Joint Conference on Neural Networks (IJCNN), 4134-4141, 2017
452017
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Articles 1–20