| Internet of Things: A primer A Paul, R Jeyaraj Human Behavior and Emerging Technologies 1 (1), 37-47, 2019 | 143 | 2019 |
| Smart data processing for energy harvesting systems using artificial intelligence S Divya, S Panda, S Hajra, R Jeyaraj, A Paul, SH Park, HJ Kim, TH Oh Nano Energy 106, 108084, 2023 | 62 | 2023 |
| Resource management in cloud and cloud-influenced technologies for internet of things applications R Jeyaraj, A Balasubramaniam, AK MA, N Guizani, A Paul ACM Computing Surveys 55 (12), 1-37, 2023 | 45 | 2023 |
| Optimizing MapReduce Task Scheduling on Virtualized Heterogeneous Environments Using Ant Colony Optimization R Jeyaraj, A Paul IEEE Access, 2022 | 14 | 2022 |
| Dynamic ranking-based MapReduce job scheduler to exploit heterogeneous performance in a virtualized environment J Rathinaraja, VS Ananthanarayana, A Paul The Journal of Supercomputing 75 (11), 7520-7549, 2019 | 12 | 2019 |
| Improving MapReduce scheduler for heterogeneous workloads in a heterogeneous environment R Jeyaraj, VS Ananthanarayana, A Paul Concurrency and Computation: Practice and Experience, 2020 | 11 | 2020 |
| Handling non-local executions to improve mapreduce performance using ant colony optimization G Singh, A Sharma, R Jeyaraj, A Paul IEEE Access 9, 96176-96188, 2021 | 9 | 2021 |
| Fine-grained data-locality aware MapReduce job scheduler in a virtualized environment R Jeyaraj, VS Ananthanarayana, A Paul Journal of Ambient Intelligence and Humanized Computing 11 (10), 4261-4272, 2020 | 8 | 2020 |
| Big Data with Hadoop MapReduce: A Classroom Approach R Jeyaraj, G Pugalendhi, A Paul | 7 | 2020 |
| Nonnegative matrix factorization to understand spatio-temporal traffic pattern variations during COVID-19: a case study A Balasubramaniam, T Balasubramaniam, R Jeyaraj, A Paul, R Nayak Data Mining: 19th Australasian Conference on Data Mining, AusDM 2021 …, 2021 | 4 | 2021 |
| Multi-level per node combiner (MLPNC) to minimize mapreduce job latency on virtualized environment RJ Ananthanarayana V S Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 167-174, 2018 | 4 | 2018 |
| A combined MI-AVR approach for informative gene selection PG Kumar, J Rathinaraja, TAA Victoire IET Digital Library, 2011 | 4 | 2011 |
| DeepWalk with Reinforcement Learning (DWRL) for node embedding R Jeyaraj, T Balasubramaniam, A Balasubramaniam, A Paul Expert Systems with Applications 243, 122819, 2024 | 3 | 2024 |
| Meat Freshness State Prediction Using a Novel Fifteen Layered Deep Convolutional Neural Network M Shyamala Devi, J Arun Pandian, D Umanandhini, AK Sakineti, ... International Conference on Data Science and Network Engineering, 111-123, 2023 | 3 | 2023 |
| MapReduce Scheduler to Minimize the Size of Intermediate Data in Shuffle Phase AP Rathinaraja Jeyaraj, Ananthanarayana V S 18th IEEE/ACIS International Conference on Computer and Information Science …, 2019 | 3 | 2019 |
| YSAF: Yolo with Spatial Attention and FFT to Detect Face Spoofing Attacks R Jeyaraj, B Subramanian, K Yogesh, A Jin, HA Gohel IEEE 3rd International Conference on AI in Cybersecurity (ICAIC), 1-6, 2024 | 2 | 2024 |
| APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks B Subramanian, R Jeyaraj, RAA Ugli, J Kim arXiv preprint arXiv:2402.08244, 2024 | 1 | 2024 |
| From Data to Decisions: The Transformational Power of Machine Learning in Business Recommendations K Gangadharan, K Malathi, A Purandaran, B Subramanian, R Jeyaraj arXiv preprint arXiv:2402.08109, 2024 | 1 | 2024 |
| A Novel Data Management Scheme in Cloud for Micromachines G Singh, R Jeyaraj, A Sharma, A Paul Electronics 12 (18), 3807, 2023 | 1 | 2023 |
| Big Data Infrastructure and Analytics for Education 4.0 E Chandra, R Jeyaraj Big Data Applications in Industry 4.0, 107-123, 2022 | 1 | 2022 |
Anand PaulProfessor of Data ScienceEmail verificata su lsuhsc.edu