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Rathinaraja Jeyaraj
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2020 – today
- 2024
- [j8]Rathinaraja Jeyaraj
, Thirunavukarasu Balasubramaniam
, Anandkumar Balasubramaniam
, Anand Paul
:
DeepWalk with Reinforcement Learning (DWRL) for node embedding. Expert Syst. Appl. 243: 122819 (2024) - [c5]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: 1-6 - [i4]Kapilya Gangadharan, K. Malathi, Anoop Purandaran, Barathi Subramanian, Rathinaraja Jeyaraj:
From Data to Decisions: The Transformational Power of Machine Learning in Business Recommendations. CoRR abs/2402.08109 (2024) - [i3]Barathi Subramanian, Rathinaraja Jeyaraj, Akhrorjon Akhmadjon Ugli Rakhmonov, Jeonghong Kim:
APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks. CoRR abs/2402.08244 (2024) - [i2]Barathi Subramanian, Rathinaraja Jeyaraj, Akhrorjon Akhmadjon Ugli Rakhmonov, Jeonghong Kim:
Enhancing Sequential Model Performance with Squared Sigmoid TanH (SST) Activation Under Data Constraints. CoRR abs/2402.09034 (2024) - 2023
- [j7]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): 242:1-242:37 (2023) - 2022
- [j6]Rathinaraja Jeyaraj
, Anand Paul
:
Optimizing MapReduce Task Scheduling on Virtualized Heterogeneous Environments Using Ant Colony Optimization. IEEE Access 10: 55842-55855 (2022) - 2021
- [j5]Gurwinder Singh
, Anil Sharma, Rathinaraja Jeyaraj
, Anand Paul
:
Handling Non-Local Executions to Improve MapReduce Performance Using Ant Colony Optimization. IEEE Access 9: 96176-96188 (2021) - [c4]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: 223-234 - [i1]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 abs/2111.03592 (2021) - 2020
- [j4]Rathinaraja Jeyaraj
, Ananthanarayana V. S.
, Anand Paul
:
Improving MapReduce scheduler for heterogeneous workloads in a heterogeneous environment. Concurr. Comput. Pract. Exp. 32(7) (2020) - [j3]Rathinaraja Jeyaraj
, Ananthanarayana V. S.
, Anand Paul
:
Improving MapReduce scheduler for heterogeneous workloads in a heterogeneous environment. Concurr. Comput. Pract. Exp. 32(17) (2020) - [j2]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): 4261-4272 (2020)
2010 – 2019
- 2019
- [j1]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): 7520-7549 (2019) - [c3]Rathinaraja Jeyaraj, V. S. Ananthanarayana, Anand Paul
:
MapReduce Scheduler to Minimize the Size of Intermediate Data in Shuffle Phase. ICIS 2019: 30-34 - 2018
- [c2]Rathinaraja Jeyaraj
, Ananthanarayana V. S.:
Multi-level per node combiner (MLPNC) to minimize mapreduce job latency on virtualized environment. SAC 2018: 167-174 - [c1]Rathinaraja Jeyaraj
, V. S. Ananthanarayana:
Dynamic Performance Aware Reduce Task Scheduling in MapReduce on Virtualized Environment. SERA 2018: 211-218
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last updated on 2024-06-25 20:52 CEST by the dblp team
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