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An Enhanced Support Vector Machine Model for Urban Expansion Prediction

Computers, Environment and Urban Systems 75, Elsevier, pp. 61-75, 2019.
Firoozeh Karimi, Selima Sultana, Ali Shirzadibabakan, and Shan Suthaharan
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Feature Extraction Using Apparent Power and Real Power for Smart Home Data Classification

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1290-1295.
Vishali Vadakattu and Shan Suthaharan
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Elliptical modeling and pattern analysis for perturbation models and classification

Suthaharan, S., & Shen, W. (2018). Elliptical modeling and pattern analysis for perturbation models and classification. International Journal of Data Science and Analytics, 1-11, 2018.
Shan Suthaharan
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Machine learning models and algorithms for big data classification: thinking with examples for effective learning

S. Suthaharan. Machine learning models and algorithms for big data classification: thinking with examples for effective learning, vol. 36, Springer US, 2016.
Shan Suthaharan
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Support vector machine classi ers with uncertain knowledge sets via robust convex optimization

Optimization. Taylor and Francis. pp. 1-18.
V. Jeyakumar, G. Li, and S. Suthaharan
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No-reference visually significant blocking artifact metric for natural scene images

S. Suthaharan. 2009. No-reference visually significant blocking artifact metric for natural scene images. Signal Processing 89. pp. 1647-1652
Shan Suthaharan
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Big Data Classification: Problems and challenges in network intrusion prediction with machine learning

S. Suthaharan. 2014. Big Data Classication: Problems and challenges in network intrusion prediction with machine learning, ACM SIGMETRICS Performance Evaluation Review, vol. 41, no. 4, pp. 70-73.
Shan Suthaharan
BibTeX

Security problems and challenges in a machine learning-based hybrid big data processing network systems

J. Whitworth, and S. Suthaharan. 2014. Security problems and challenges in a machine learning-based hybrid big data processing network systems. ACM SIGMETRICS Performance Evaluation Review, vol. 41, no. 4, pp. 82-85.
J. Whitworth, and S. Suthaharan
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Labelled data collection for anomaly detection in wireless sensor networks

S. Suthaharan, M. Alzahrani, S. Rajasegarar, C. Leckie, and M. Palaniswami. 2010. Labelled data collection for anomaly detection in wireless sensor networks. In Proceedings of the 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing. pp. 269-274.
S. Suthaharan, M. Alzahrani, S. Rajasegarar, C. Leckie, and M. Palaniswami
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Fragile image watermarking using a gradient image for improved localization and security

Suthaharan, S. (2004). Fragile image watermarking using a gradient image for improved localization and security. Pattern Recognition Letters, 25(16), 1893-1903.
Shan Suthaharan
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