Murlikrishna Viswanathan - researchr alias

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Viewing Publication 1 - 23 from 23

2021

Adaptive Enterprise Architecture for the Digital Healthcare Industry: A Digital Platform for Drug DevelopmentYoshimasa Masuda, Alfred Zimmermann, Murlikrishna Viswanathan, Matt Bass, Osamu Nakamura, Shuichiro Yamamoto. information, 12(2):67, 2021. [doi]

2019

Enterprise Architecture for Global Companies in a Digital IT Era - Adaptive Integrated Digital Architecture Framework (AIDAF)Yoshimasa Masuda, Murlikrishna Viswanathan. Springer, 2019. [doi]

2012

Emotional-speech recognition using the neuro-fuzzy networkMurlikrishna Viswanathan, Zhen-Xing Zhang, Xue-Wei Tian, Joon S. Lim. icuimc 2012: 96 [doi]

A novel local mobility anchor selection scheme for proxy mobile IPv6 networksMurlikrishna Viswanathan, Myung-Kyu Yi, Sung-Yeol Yun, Seok Cheon Park, Young-Kyu Yang. icuimc 2012: 49 [doi]

2011

A fatigue detection algorithm by heart rate variability based on a neuro-fuzzy networkMurlikrishna Viswanathan, Zhen-Xing Zhang, Xue-Wei Tian, Joon S. Lim. icuimc 2011: 83 [doi]

Performance analysis of dynamic mobility management for proxy mobile IPv6 networksMurlikrishna Viswanathan, Myung-Kyu Yi, Sung-Yeol Yun, Seok Cheon Park, Young-Kyu Yang. icuimc 2011: 123 [doi]

2007

Distributed Data Mining in a Ubiquitous Healthcare FrameworkMurlikrishna Viswanathan. ai 2007: 261-271 [doi]

A Distributed Data Mining System for a Novel Ubiquitous Healthcare FrameworkMurlikrishna Viswanathan, Taeg Keun Whangbo, Ki Jung Lee, Young-Kyu Yang. iccS 2007: 701-708 [doi]

2006

2005

Robust Face Recognition from Images with Varying PoseJae Young Choi, Murlikrishna Viswanathan, Taeg Keun Whangbo, Young-Gyu Yang, Nak-Bin Kim. iciar 2005: 1023-1031 [doi]

Development of Incident Detection Model Using Neuro-Fuzzy AlgorithmSeung-Heon Lee, Jin-Woo Choi, Nam-Kwan Hong, Murlikrishna Viswanathan, Young-Kyu Yang. ACISicis 2005: 364-368 [doi]

Sketch map generation method using leveled spatial indexing technique in a mobile environmentYong-Uk So, Ki Jung Lee, Murlikrishna Viswanathan, Young-Kyu Yang, Taeg Keun Whangbo. igarss 2005: 6 [doi]

Designing Robust Regression ModelsMurlikrishna Viswanathan, Kotagiri Ramamohanarao. In Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu, Shusaku Tsumoto, editors, Foundations of Data Mining and knowledge Discovery. Volume 6 of Studies in Computational Intelligence, pages 71-86, Springer, 2005. [doi]

Distributed Data Mining on Clusters with Bayesian Mixture ModelingMurlikrishna Viswanathan, Young-Gyu Yang, Taeg Keun Whangbo. fskd 2005: 1207-1216 [doi]

Knowledge-Based Compliance Management Systems - Methodology and ImplementationMurlikrishna Viswanathan, Young-Gyu Yang, Taeg Keun Whangbo, Nak-Bin Kim, B. Garner. ACISicis 2005: 25-29 [doi]

Pose-Invariant Face Recognition Using Deformation AnalysisTaeg Keun Whangbo, Jae Young Choi, Murlikrishna Viswanathan, Nak-Bin Kim, Young-Gyu Yang. bvai 2005: 545-554 [doi]

2003

An Optimal Approach to Mining Boolean Functions from Noisy DataMurlikrishna Viswanathan, Chris S. Wallace. ideal 2003: 717-724 [doi]

1999

A note on the comparison of polynomial selection methodsMurlikrishna Viswanathan, Chris S. Wallace. aistats 1999: [doi]

Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical EvaluationMurlikrishna Viswanathan, Chris S. Wallace, David L. Dowe, Kevin B. Korb. ausai 1999: 405-416

1998

Classification Learning Using All RulesMurlikrishna Viswanathan, Geoffrey I. Webb. ecml 1998: 149-159

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