Rathinaraja Jeyaraj
Orcid: 0000-0003-0165-181X
According to our database1,
Rathinaraja Jeyaraj
authored at least 17 papers
between 2018 and 2025.
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Collaborative distances:
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Online presence:
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Bibliography
2025
Defect detection in fused deposition modelling using lightweight convolutional neural networks.
Eng. Appl. Artif. Intell., 2025
IEEE Access, 2025
2024
Expert Syst. Appl., 2024
Enhancing Sequential Model Performance with Squared Sigmoid TanH (SST) Activation Under Data Constraints.
CoRR, 2024
CoRR, 2024
From Data to Decisions: The Transformational Power of Machine Learning in Business Recommendations.
CoRR, 2024
Proceedings of the 3rd IEEE International Conference on AI in Cybersecurity, 2024
2023
Resource Management in Cloud and Cloud-influenced Technologies for Internet of Things Applications.
ACM Comput. Surv., December, 2023
2022
Optimizing MapReduce Task Scheduling on Virtualized Heterogeneous Environments Using Ant Colony Optimization.
IEEE Access, 2022
2021
Handling Non-Local Executions to Improve MapReduce Performance Using Ant Colony Optimization.
IEEE Access, 2021
Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations During COVID-19: A Case Study.
Proceedings of the Data Mining, 2021
2020
Fine-grained data-locality aware MapReduce job scheduler in a virtualized environment.
J. Ambient Intell. Humaniz. Comput., 2020
Improving MapReduce scheduler for heterogeneous workloads in a heterogeneous environment.
Concurr. Comput. Pract. Exp., 2020
2019
Dynamic ranking-based MapReduce job scheduler to exploit heterogeneous performance in a virtualized environment.
J. Supercomput., 2019
Proceedings of the 18th IEEE/ACIS International Conference on Computer and Information Science, 2019
2018
Dynamic Performance Aware Reduce Task Scheduling in MapReduce on Virtualized Environment.
Proceedings of the 16th IEEE International Conference on Software Engineering Research, 2018
Multi-level per node combiner (MLPNC) to minimize mapreduce job latency on virtualized environment.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018