M. Sivakumar

Orcid: 0000-0002-3564-4733

According to our database1, M. Sivakumar authored at least 15 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
Trust based access control with hybrid cryptographic algorithm based data security on cloud for e-learning application.
J. Intell. Fuzzy Syst., November, 2023

Optimal sizing method with sensitivity analysis for hybrid energy storage system in electric vehicle using hybrid technique.
J. Intell. Fuzzy Syst., 2023

2022
An Efficient Deep Learning-based Content-based Image Retrieval Framework.
Comput. Syst. Sci. Eng., 2022

2021
Simulated annealing algorithm for minimising assembly variation in nonlinear assembly.
Int. J. Manuf. Technol. Manag., 2021

Aspect-based sentiment analysis of mobile phone reviews using LSTM and fuzzy logic.
Int. J. Data Sci. Anal., 2021

Fast and efficient lossless encoder in image compression with low computation and low memory.
IET Image Process., 2021

2020
Multi-response optimisation of electrochemical machining process parameters by harmony search-desirability function optimiser.
Int. J. Manuf. Technol. Manag., 2020

An experimental investigation and modelling for travelling wire electrochemical machining of Monel 400 alloys.
Int. J. Manuf. Technol. Manag., 2020

2019
Mitigation of PQ Issues Using an Enhanced UPQC-Based ANN Approach.
J. Circuits Syst. Comput., 2019

Spatial Pattern of Ratio-Dependent Predator-Prey Model with Prey Harvesting and Cross-Diffusion.
Int. J. Bifurc. Chaos, 2019

2014
A Short Review for Mobile Applications of Sentiment Analysis on Various Domains.
Proceedings of the Progress in Systems Engineering, 2014

2012
Classification of electrocardiogram signals with support vector machines and extreme learning machine.
Neural Comput. Appl., 2012

2011
Effect of bonding duration and substrate temperature in copper ball bonding on aluminium pads: A TEM study of interfacial evolution.
Microelectron. Reliab., 2011

Classification of ECG Signals Using Extreme Learning Machine.
Comput. Inf. Sci., 2011

2010
ECG Feature Extraction Techniques - A Survey Approach
CoRR, 2010


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