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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
Publisher's website

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
Publisher's website

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
Publisher's website

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

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

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

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

A perceptual quality metric for digital video coding

S. Suthaharan. 2003. A perceptual quality metric for digital video coding. IEE Electronics Letters, vol. 39 no. 5. pp. 431-432.
Shan Suthaharan

Big Data Analytics: Machine Learning and Bayesian Learning Perspectives — What is done? What is not?

Suthaharan, S. Big data analytics: Machine learning and Bayesian learning perspectives—What is done? What is not?. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1283, 2018.
Shan Suthaharan
Publisher's website