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ORCIDS. N. Sivanandam
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2010 – 2019
- 2014
[j9]K. R. Remesh Babu
, P. Mathiyalagan, S. N. Sivanandam:
Pareto based hybrid Meta heuristic ABC - ACO approach for task scheduling in computational grids. Int. J. Hybrid Intell. Syst. 11(4): 241-255 (2014)- 2012
- [c7]K. R. Remesh Babu, P. Mathiyalagan, S. N. Sivanandam:
Task scheduling using ACO-BP neural network in computational grids. ICACCI 2012: 428-432 - 2011
- [j8]P. Mathiyalagan, S. Suriya, S. N. Sivanandam:
Hybrid enhanced ant colony algorithm and enhanced bee colony algorithm for grid scheduling. Int. J. Grid Util. Comput. 2(1): 45-58 (2011) - 2010
- [c6]Bai. V. Ramani, S. N. Sivanandam:
An intelligent numerical algorithm for solving system of linear algebraic equations. A2CWiC 2010: 55:1-55:4 - [i2]S. Ayyasamy, S. N. Sivanandam:
A Cluster Based Replication Architecture for Load Balancing in Peer-to-Peer Content Distribution. CoRR abs/1009.4563 (2010)
2000 – 2009
- 2009
- [j7]K. Umamaheswari, Sayee Sumathi, S. N. Sivanandam, T. Ponson:
Classification in data mining for face images using neuro: genetic approaches. Int. J. Artif. Intell. Soft Comput. 1(2/3/4): 147-175 (2009) - [j6]S. N. Sivanandam, P. Visalakshi:
Dynamic task scheduling with load balancing using parallel orthogonal particle swarm optimisation. Int. J. Bio Inspired Comput. 1(4): 276-286 (2009) - [i1]S. Ayyasamy, S. N. Sivanandam:
A QoS-Aware Intelligent Replica Management Architecture for Content Distribution in Peer-to-Peer Overlay Networks. CoRR abs/0912.2296 (2009) - 2008
- [b2]S. N. Sivanandam, S. N. Deepa:
Introduction to genetic algorithms. Springer 2008, pp. I-XIX, 1-442 - 2007
- [j5]V. Duraisamy, N. Devarajan, D. Somasundareswari, A. Antony Maria Vasanth, S. N. Sivanandam:
Neuro fuzzy schemes for fault detection in power transformer. Appl. Soft Comput. 7(2): 534-539 (2007) - [j4]S. N. Sivanandam, P. Visalakshi, A. Bhuvaneswari:
Multiprocessor Scheduling Using Hybrid Particle Swarm Optimization with Dynamically Varying Inertia. Int. J. Comput. Sci. Appl. 4(3): 95-106 (2007) - 2006
- [b1]Sayee Sumathi, S. N. Sivanandam:
Introduction to Data Mining and its Applications. Studies in Computational Intelligence 29, Springer 2006, ISBN 978-3-540-34350-9 - [j3]P. Venketesh, S. N. Sivanandam, S. Manigandan:
Enhancing QoS In Web Caching Using Differentiated Services. Int. J. Comput. Sci. Appl. 3(1): 78-91 (2006) - 2005
- [j2]S. N. Sivanandam, Sayee Sumathi, T. Hamsapriya:
A hybrid parallel genetic algorithm approach for graph coloring. Int. J. Knowl. Based Intell. Eng. Syst. 9(3): 249-259 (2005) - 2004
- [c5]S. N. Sivanandam, C. K. Gokulnath, K. Prasanna, S. Rajeev:
NFD Technique for Efficient and Secured Information Hiding in Low Resolution Images. ICDCIT 2004: 458-467 - 2001
- [c4]Sayee Sumathi, S. N. Sivanandam, Suresh Babu:
New soft computing model for data mining. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2001: 189-199 - [c3]Sayee Sumathi, S. N. Sivanandam, Suresh Babu:
Multichannel art network with rule extraction: as a data mining tool. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2001: 323- - 2000
- [j1]K. Ramar, S. Arumugam, S. N. Sivanandam, L. Ganesan, D. Manimegalai:
Quantitative fuzzy measures for threshold selection. Pattern Recognit. Lett. 21(1): 1-7 (2000) - [c2]Sayee Sumathi, S. N. Sivanandam, R. Ravindran:
Design of a hybrid model classifier for data mining applications. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2000: 49-61 - [c1]Sayee Sumathi, S. N. Sivanandam, Jagadeeswari:
Self-organized neural network scheme as a data mining tool. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2000: 420-
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