| Machine learning algorithms in quantum computing: A survey SB Ramezani, A Sommers, HK Manchukonda, S Rahimi, A Amirlatifi 2020 International joint conference on neural networks (IJCNN), 1-8, 2020 | 77 | 2020 |
| A novel compartmental model to capture the nonlinear trend of COVID-19 SB Ramezani, A Amirlatifi, S Rahimi Computers in Biology and Medicine 134, 104421, 2021 | 26 | 2021 |
| A Survey of HMM-based Algorithms in Machinery Fault Prediction S. B. Ramezani, B. Killen, L. Cummins, S. Rahimi, A. Amirlatifi and M. Seale 2021 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1-9,, 2021 | 11* | 2021 |
| Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review SB Ramezani, L Cummins, B Killen, R Carley, A Amirlatifi, S Rahimi, ... Ieee Access, 2023 | 8 | 2023 |
| Deep representation learning: Fundamentals, perspectives, applications, and open challenges KT Baghaei, A Payandeh, P Fayyazsanavi, S Rahimi, Z Chen, ... arXiv preprint arXiv:2211.14732, 2022 | 8 | 2022 |
| Predictive self-healing of web services using health score M Sharifi, SB Ramezani, A Amirlatifi Journal of Web Engineering, 079-092, 2012 | 6 | 2012 |
| Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges KT Baghaei, A Payandeh, P Fayyazsanavi, Z Chen, SB Ramezani, ... IEEE Access, 2023 | 5 | 2023 |
| How is automated and self-driving vehicle technology presented in the news media? P Penmetsa, S Okafor, E Adanu, M Hudnall, SB Ramezani, S Holiday, ... Technology in Society 74, 102290, 2023 | 2 | 2023 |
| Similarity based methods for faulty pattern detection in predictive maintenance SB Ramezani, L Cummins, B Killen, R Carley, S Rahimi, M Seale 2021 International Conference on Computational Science and Computational …, 2021 | 2 | 2021 |
| Empowering Compartmental Modeling With Mobility and Shelter-in-Place Analysis S Bakhtiari Ramezani, S Rahimi, A Amirlatifi, M Hudnall, J Pate, A Parrish, ... Frontiers in Future Transportation 2, 646751, 2021 | 2 | 2021 |
| General Considerations for the Use of Offshore Depleted Reservoirs for CO2 Sequestration A Amirlatifi, A Ovalle, S Bakhtiari Ramezani, I Mohamed, O Abou-Sayed SPE Annual Technical Conference and Exhibition?, D011S001R003, 2022 | 1 | 2022 |
| Explainable Machinery Faults Prediction Using Ensemble Tree Classifiers: Bagging or Boosting? SB Ramezani, A Amirlatifi, T Kirby, M Seale, S Rahimi Annual Conference of the PHM Society 13 (1), 2021 | 1 | 2021 |
| Generating Synthetic Time Series Data for Cyber-Physical Systems A Sommers, SB Ramezani, L Cummins, S Mittal, S Rahimi, M Seale, ... arXiv preprint arXiv:2404.08601, 2024 | | 2024 |
| Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities L Cummins, A Sommers, SB Ramezani, S Mittal, J Jabour, M Seale, ... arXiv preprint arXiv:2401.07871, 2024 | | 2024 |
| Scalable and Explainable Self-supervised Motif Discovery in Temporal Data SB Ramezani Mississippi State University, 2023 | | 2023 |
| Scalable and explainable self-supervised motif discovery in temporal data S Bakhtiari Ramezani | | 2023 |
| A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries L Cummins, B Killen, S Bakhtiari Ramezani, S Rahimi, M Seale, S Mittal FLAIRS-36, 2023 | | 2023 |
| Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review M SEALE, L BIAN | | |
Shahram RahimiDepartment Head and Professor, Mississippi State UniversityGeverifieerd e-mailadres voor cse.msstate.edu
