K. Rameshkumar - researchr alias

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Viewing Publication 1 - 16 from 16

2025

Prediction of Total Acid Number of Engine Oil Using Machine Learning ApproachK. Rameshkumar, S. Srihari, R. B. Santhosh, R. Vaira Vignesh. access, 13:211809-211831, 2025. [doi]

2024

Multi-criteria scheduling of realistic flexible job shop: a novel approach for integrating simulation modelling and multi-criteria decision makingThenarasu Mohanavelu, K. Rameshkumar, Maria di Mascolo, S. P. Anbuudayasankar. ijpr, 62(1-2):336-358, January 2024. [doi]

Machine Learning Approach for Predicting the Solid Particle Lubricant Contamination in a Spherical Roller BearingK. Rameshkumar, Kaviarasu Nataraj, P. Krishnakumar, M. Saimurugan. access, 12:78680-78700, 2024. [doi]

2022

Establishing Statistical Correlation Between Sensor Signature Features and Lubricant Solid Particle Contamination in a Spur GearboxK. Rameshkumar, R. Sriram, M. Saimurugan, P. Krishnakumar. access, 10:106230-106247, 2022. [doi]

Traffic Monitoring and Malicious Detection Multidimensional PCAP Data Using Optimized LSTM RNNLeelalakshmi S., K. Rameshkumar. ijisp, 16(2):1-22, 2022. [doi]

Development and analysis of priority decision rules using MCDM approach for a flexible job shop scheduling: A simulation studyM. Thenarasu, K. Rameshkumar, Jacob Rousseau, S. P. Anbuudayasankar. simpra, 114:102416, 2022. [doi]

2021

Cluster-based convolution process on big data in privacy preserving data miningR. Lalitha, K. Rameshkumar. ijbis, 38(1):17-33, 2021. [doi]

2018

Acoustic Emission-Based Tool Condition Classification in a Precision High-Speed Machining of Titanium Alloy: A Machine Learning ApproachP. Krishnakumar, K. Rameshkumar, K. I. Ramachandran. ijcia, 17(3):1850017, 2018. [doi]

Machine learning based tool condition classification using acoustic emission and vibration data in high speed milling process using wavelet featuresP. Krishnakumar, K. Rameshkumar, K. I. Ramachandran. idt, 12(2):265-282, 2018. [doi]

2015

Performance Analysis of Classification Algorithms on Medical Diagnoses-a SurveyS. Vanaja, K. Rameshkumar. jcsci, 11(1):30-52, 2015. [doi]

2012

Application of particle swarm intelligence algorithms in supply chain network architecture optimizationRajeshwar S. Kadadevaramath, Jason C. H. Chen, B. Latha Shankar, K. Rameshkumar. eswa, 39(11):10160-10176, 2012. [doi]

2011

Neighborhood Search Assisted Particle Swarm Optimization (NPSO) Algorithm for Partitional Data Clustering ProblemsR. Karthi, C. Rajendran, K. Rameshkumar. acc 2011: 552-561 [doi]

2009

Production and distribution scheduling of Supply Chain structure using intelligent Particle Swarm Optimisation algorithmRajeshwar S. Kadadevaramath, K. M. Mohanasundaram, K. Rameshkumar, B. Chandrashekhar. ijista, 6(3/4):249-268, 2009. [doi]

A novel discrete particle swarm clustering algorithm for data clusteringR. Karthi, S. Arumugam, K. Rameshkumar. compute 2008: 16 [doi]

2008

Discrete Particle Swarm Optimization Algorithm for Data ClusteringR. Karthi, S. Arumugam, K. Rameshkumar. nicso 2009: 75-88 [doi]

2005

Discrete Particle Swarm Optimization (DPSO) Algorithm for Permutation Flowshop Scheduling to Minimize MakespanK. Rameshkumar, R. K. Suresh, K. M. Mohanasundaram. icnc 2005: 572-581 [doi]

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