Soft Computing: Fuzzy Logic Approach in Wireless Sensors Networks

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ISSN Print: 2153-1285
ISSN Online: 2153-1293
www.scirp.org/journal/cs
E-mail: cs@scirp.org

"Soft Computing: Fuzzy Logic Approach in Wireless Sensors Networks"
written by M. Vinoth Kumar, Dr. T. Lalitha,
published by Circuits and Systems, Vol.7 No.8, 2016

has been cited by the following article(s):

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[2]	The dynamical behaviors of fractional-order SE1E2IQR epidemic model for malware propagation on Wireless Sensor Network Communications in Nonlinear Science and Numerical Simulation, 2022 DOI:10.1016/j.cnsns.2022.106428

[3]	The dynamical behaviors of fractional-order SE1E2IQR epidemic model for malware propagation on Wireless Sensor Network Communications in Nonlinear Science and Numerical Simulation, 2022 DOI:10.1016/j.cnsns.2022.106428

[4]	The dynamical behaviors of fractional-order SE1E2IQR epidemic model for malware propagation on Wireless Sensor Network Communications in Nonlinear Science and Numerical Simulation, 2022 DOI:10.1016/j.cnsns.2022.106428

[5]	EnNetForens: An Efficient Proactive Approach For Network Forensic 2021 International Conference on Communication, Control and Information Sciences (ICCISc), 2021 DOI:10.1109/ICCISc52257.2021.9484865

[6]	OPTIMAL ROUTE DEFINITION IN THE RAILWAY INFORMATION NETWORK USING NEURAL-FUZZY MODELS Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, 2019 DOI:10.15802/stp2019/184385

[7]	OPTIMAL ROUTE DEFINITION IN THE RAILWAY INFORMATION NETWORK USING NEURAL-FUZZY MODELS Science and Transport Progress , 2019 DOI:10.15802/stp2019/184385

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