Rathinaraja Jeyaraj

Orcid: 0000-0003-0165-181X

According to our database1, Rathinaraja Jeyaraj authored at least 17 papers between 2018 and 2025.

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

Timeline

2018
2019
2020
2021
2022
2023
2024
2025
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Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Defect detection in fused deposition modelling using lightweight convolutional neural networks.
Eng. Appl. Artif. Intell., 2025

From Data to Decisions: The Power of Machine Learning in Business Recommendations.
IEEE Access, 2025

2024
DeepWalk with Reinforcement Learning (DWRL) for node embedding.
Expert Syst. Appl., 2024

Enhancing Sequential Model Performance with Squared Sigmoid TanH (SST) Activation Under Data Constraints.
CoRR, 2024

APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks.
CoRR, 2024

From Data to Decisions: The Transformational Power of Machine Learning in Business Recommendations.
CoRR, 2024

YSAF: Yolo with Spatial Attention and FFT to Detect Face Spoofing Attacks.
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

MapReduce Scheduler to Minimize the Size of Intermediate Data in Shuffle Phase.
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


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