Multi-level per node combiner (MLPNC) to minimize mapreduce job latency on virtualized environment. - Rathinaraja Jeyaraj; Ananthanarayana V. S. (SAC, 2018)

Dynamic Performance Aware Reduce Task Scheduling in MapReduce on Virtualized Environment. - Rathinaraja Jeyaraj; V. S. Ananthanarayana (SERA, 2018)

MapReduce Scheduler to Minimize the Size of Intermediate Data in Shuffle Phase. - Rathinaraja Jeyaraj; V. S. Ananthanarayana; Anand Paul 001 (ICIS, 2019)

Dynamic ranking-based MapReduce job scheduler to exploit heterogeneous performance in a virtualized environment. - Rathinaraja Jeyaraj; V. S. Ananthanarayana; Anand Paul 001 (J. Supercomput., 2019)

Improving MapReduce scheduler for heterogeneous workloads in a heterogeneous environment. - Rathinaraja Jeyaraj; Ananthanarayana V. S.; Anand Paul 001 (Concurr. Comput. Pract. Exp., 2020)

Fine-grained data-locality aware MapReduce job scheduler in a virtualized environment. - Rathinaraja Jeyaraj; V. S. Ananthanarayana; Anand Paul 001 (J. Ambient Intell. Humaniz. Comput., 2020)

Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations During COVID-19: A Case Study. - Anandkumar Balasubramaniam; Thirunavukarasu Balasubramaniam; Rathinaraja Jeyaraj; Anand Paul 001; Richi Nayak (AusDM, 2021)

Handling Non-Local Executions to Improve MapReduce Performance Using Ant Colony Optimization. - Gurwinder Singh; Anil Sharma; Rathinaraja Jeyaraj; Anand Paul 001 (IEEE Access, 2021)

Optimizing MapReduce Task Scheduling on Virtualized Heterogeneous Environments Using Ant Colony Optimization. - Rathinaraja Jeyaraj; Anand Paul 001 (IEEE Access, 2022)

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 001 (ACM Comput. Surv., 2023)

YSAF: Yolo with Spatial Attention and FFT to Detect Face Spoofing Attacks. - Rathinaraja Jeyaraj; Barathi Subramanian; Karnam Yogesh; Aobo Jin; Hardik A. Gohel (ICAIC, 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)

APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks. - Barathi Subramanian; Rathinaraja Jeyaraj; Akhrorjon Akhmadjon Ugli Rakhmonov; Jeonghong Kim (CoRR, 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)

DeepWalk with Reinforcement Learning (DWRL) for node embedding. - Rathinaraja Jeyaraj; Thirunavukarasu Balasubramaniam; Anandkumar Balasubramaniam; Anand Paul 001 (Expert Syst. Appl., 2024)

From Data to Decisions: The Power of Machine Learning in Business Recommendations. - Kapilya Gangadharan; Anoop Purandaran; K. Malathi; Barathi Subramanian; Rathinaraja Jeyaraj; Soon Ki Jung (IEEE Access, 2025)

Defect detection in fused deposition modelling using lightweight convolutional neural networks. - Basil Kuriachen; Rathinaraja Jeyaraj; Deepak Raphael; P. Ashok; P. Shanmuga Sundari; Anand Paul 001 (Eng. Appl. Artif. Intell., 2025)