Rathinaraja Jeyaraj

According to our database, Rathinaraja Jeyaraj authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Barathi Subramanian, Rathinaraja Jeyaraj, Akhrorjon Akhmadjon Ugli Rakhmonov, Jeonghong Kim

CoRR, 2024

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

Barathi Subramanian, Rathinaraja Jeyaraj, Akhrorjon Akhmadjon Ugli Rakhmonov, Jeonghong Kim

CoRR, 2024

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

Kapilya Gangadharan, K. Malathi, Anoop Purandaran, Barathi Subramanian, Rathinaraja Jeyaraj

CoRR, 2024

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

Rathinaraja Jeyaraj, Barathi Subramanian, Karnam Yogesh, Aobo Jin, Hardik A. Gohel

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.

Rathinaraja Jeyaraj, Anandkumar Balasubramaniam, Ajay Kumara M. A., Nadra Guizani, Anand Paul

ACM Comput. Surv., December, 2023

2022

Optimizing MapReduce Task Scheduling on Virtualized Heterogeneous Environments Using Ant Colony Optimization.

Rathinaraja Jeyaraj, Anand Paul

IEEE Access, 2022

2021

Handling Non-Local Executions to Improve MapReduce Performance Using Ant Colony Optimization.

Gurwinder Singh, Anil Sharma, Rathinaraja Jeyaraj, Anand Paul

IEEE Access, 2021

Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations During COVID-19: A Case Study.

Anandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Rathinaraja Jeyaraj, Anand Paul, Richi Nayak

Proceedings of the Data Mining, 2021

2020

Fine-grained data-locality aware MapReduce job scheduler in a virtualized environment.

Rathinaraja Jeyaraj, V. S. Ananthanarayana, Anand Paul

J. Ambient Intell. Humaniz. Comput., 2020

Improving MapReduce scheduler for heterogeneous workloads in a heterogeneous environment.

Rathinaraja Jeyaraj, Ananthanarayana V. S., Anand Paul

Concurr. Comput. Pract. Exp., 2020

2019

Dynamic ranking-based MapReduce job scheduler to exploit heterogeneous performance in a virtualized environment.

Rathinaraja Jeyaraj, V. S. Ananthanarayana, Anand Paul

J. Supercomput., 2019

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

Rathinaraja Jeyaraj, V. S. Ananthanarayana, Anand Paul

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.

Rathinaraja Jeyaraj, V. S. Ananthanarayana

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.

Rathinaraja Jeyaraj, Ananthanarayana V. S.

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018