K. Rameshkumar
Orcid: 0000-0002-1698-9250
According to our database1,
K. Rameshkumar
authored at least 15 papers
between 2005 and 2024.
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Bibliography
2024
Multi-criteria scheduling of realistic flexible job shop: a novel approach for integrating simulation modelling and multi-criteria decision making.
Int. J. Prod. Res., January, 2024
Machine Learning Approach for Predicting the Solid Particle Lubricant Contamination in a Spherical Roller Bearing.
IEEE Access, 2024
2022
Development and analysis of priority decision rules using MCDM approach for a flexible job shop scheduling: A simulation study.
Simul. Model. Pract. Theory, 2022
Traffic Monitoring and Malicious Detection Multidimensional PCAP Data Using Optimized LSTM RNN.
Int. J. Inf. Secur. Priv., 2022
Establishing Statistical Correlation Between Sensor Signature Features and Lubricant Solid Particle Contamination in a Spur Gearbox.
IEEE Access, 2022
2021
Int. J. Bus. Inf. Syst., 2021
2018
Acoustic Emission-Based Tool Condition Classification in a Precision High-Speed Machining of Titanium Alloy: A Machine Learning Approach.
Int. J. Comput. Intell. Appl., 2018
Machine learning based tool condition classification using acoustic emission and vibration data in high speed milling process using wavelet features.
Intell. Decis. Technol., 2018
2015
J. Comput. Sci., 2015
2012
Application of particle swarm intelligence algorithms in supply chain network architecture optimization.
Expert Syst. Appl., 2012
2011
Neighborhood Search Assisted Particle Swarm Optimization (NPSO) Algorithm for Partitional Data Clustering Problems.
Proceedings of the Advances in Computing and Communications, 2011
2009
Production and distribution scheduling of Supply Chain structure using intelligent Particle Swarm Optimisation algorithm.
Int. J. Intell. Syst. Technol. Appl., 2009
Proceedings of the 2nd Bangalore Annual Compute Conference, Compute 2009, 2009
2008
Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2008
2005
Discrete Particle Swarm Optimization (DPSO) Algorithm for Permutation Flowshop Scheduling to Minimize Makespan.
Proceedings of the Advances in Natural Computation, First International Conference, 2005