| A Black-Box Fork-Join Latency Prediction Model for Data-Intensive Applications M Nguyen, S Alesawi, N Li, H Che, H Jiang IEEE Transactions on Parallel and Distributed Systems 31 (9), 1983-2000, 2020 | 26 | 2020 |
| ForkTail: A black-box fork-join tail latency prediction model for user-facing datacenter workloads M Nguyen, S Alesawi, N Li, H Che, H Jiang Proceedings of the 27th International Symposium on High-Performance Parallel …, 2018 | 20 | 2018 |
| Decision tree ensembles to predict coronavirus disease 2019 infection: a comparative study A Ahmad, O Safi, S Malebary, S Alesawi, E Alkayal Complexity 2021 (1), 5550344, 2021 | 10 | 2021 |
| Tail latency prediction for datacenter applications in consolidated environments S Alesawi, M Nguyen, H Che, A Singhal 2019 International Conference on Computing, Networking and Communications …, 2019 | 10 | 2019 |
| Classification methods comparison for customer churn prediction in the telecommunication industry M Makruf, A Bramantoro, HJ Alyamani, S Alesawi, R Alturki International Journal of Advanced and Applied Sciences 8 (12), 1-8, 2021 | 7 | 2021 |
| Overcome heterogeneity impact in modeled fork-join queuing networks for tail prediction S Alesawi, S Ghanem 2019 International Conference on Computing, Networking and Communications …, 2019 | 2 | 2019 |
| Hybrid Deep Convolutional Generative Adversarial Network (DCGAN) and Xtreme Gradient Boost for X-ray Image Augmentation and Detection AH Basori, SJ Malebary, S Alesawi Applied Sciences 13 (23), 12725, 2023 | 1 | 2023 |
| Tail Prediction for Heterogeneous Data Center Clusters S Malebary, S Alesawi, H Che Processes 11 (2), 407, 2023 | | 2023 |
| Tail Latency Prediction for Fork-join Structures SM Alesawi | | 2020 |
| Maize Disease Classification Using Transfer Learning and Convolutional Neural Network with Weighted Loss K Ahadian, N Yudistira, B Rahayudi, AH Basori, SJ Malebary, S Alesawi, ... Available at SSRN 4866605, 0 | | |
Minh NguyenPostdoctoral Research Associate, The University of Texas at Arlington在 mavs.uta.edu 的电子邮件经过验证
