Rathinaraja Jeyaraj

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Pheromone Trails

Probabilistic Latent Semantic Indexing

Resource Management

Nonnegative Matrix Factorization

Top Venues

Concurr. Comput. Pract. Exp.

Publications

Kapilya Gangadharan, K. Malathi, Anoop Purandaran, Barathi Subramanian, Rathinaraja Jeyaraj
From Data to Decisions: The Transformational Power of Machine Learning in Business Recommendations. CoRR (2024)
Barathi Subramanian, Rathinaraja Jeyaraj, Akhrorjon Akhmadjon Ugli Rakhmonov, Jeonghong Kim
Enhancing Sequential Model Performance with Squared Sigmoid TanH (SST) Activation Under Data Constraints. CoRR (2024)
Barathi Subramanian, Rathinaraja Jeyaraj, Akhrorjon Akhmadjon Ugli Rakhmonov, Jeonghong Kim
APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks. CoRR (2024)
Rathinaraja Jeyaraj, Barathi Subramanian, Karnam Yogesh, Aobo Jin, Hardik A. Gohel
YSAF: Yolo with Spatial Attention and FFT to Detect Face Spoofing Attacks. ICAIC (2024)
Rathinaraja Jeyaraj, Thirunavukarasu Balasubramaniam, Anandkumar Balasubramaniam, Anand Paul
DeepWalk with Reinforcement Learning (DWRL) for node embedding. Expert Syst. Appl. 243 (2024)
Rathinaraja Jeyaraj, Anandkumar Balasubramaniam, Ajay Kumara M. A., Nadra Guizani, Anand Paul
Resource Management in Cloud and Cloud-influenced Technologies for Internet of Things Applications. ACM Comput. Surv. 55 (12) (2023)
Rathinaraja Jeyaraj, Anand Paul
Optimizing MapReduce Task Scheduling on Virtualized Heterogeneous Environments Using Ant Colony Optimization. IEEE Access 10 (2022)
Anandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Rathinaraja Jeyaraj, Anand Paul, Richi Nayak
Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations During COVID-19: A Case Study. AusDM (2021)
Anandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Rathinaraja Jeyaraj, Anand Paul, Richi Nayak
Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study. CoRR (2021)
Gurwinder Singh, Anil Sharma, Rathinaraja Jeyaraj, Anand Paul
Handling Non-Local Executions to Improve MapReduce Performance Using Ant Colony Optimization. IEEE Access 9 (2021)
Rathinaraja Jeyaraj, Ananthanarayana V. S., Anand Paul
Improving MapReduce scheduler for heterogeneous workloads in a heterogeneous environment. Concurr. Comput. Pract. Exp. 32 (7) (2020)
Rathinaraja Jeyaraj, Ananthanarayana V. S., Anand Paul
Improving MapReduce scheduler for heterogeneous workloads in a heterogeneous environment. Concurr. Comput. Pract. Exp. 32 (17) (2020)
Rathinaraja Jeyaraj, V. S. Ananthanarayana, Anand Paul
Fine-grained data-locality aware MapReduce job scheduler in a virtualized environment. J. Ambient Intell. Humaniz. Comput. 11 (10) (2020)
Rathinaraja Jeyaraj, V. S. Ananthanarayana, Anand Paul
Dynamic ranking-based MapReduce job scheduler to exploit heterogeneous performance in a virtualized environment. J. Supercomput. 75 (11) (2019)
Rathinaraja Jeyaraj, V. S. Ananthanarayana, Anand Paul
MapReduce Scheduler to Minimize the Size of Intermediate Data in Shuffle Phase. ICIS (2019)
Rathinaraja Jeyaraj, Ananthanarayana V. S.
Multi-level per node combiner (MLPNC) to minimize mapreduce job latency on virtualized environment. SAC (2018)
Rathinaraja Jeyaraj, V. S. Ananthanarayana
Dynamic Performance Aware Reduce Task Scheduling in MapReduce on Virtualized Environment. SERA (2018)