| Dynamic optimization of dry reformer under catalyst sintering using neural networks M Azzam, NAK Aramouni, MN Ahmad, M Awad, W Kwapinski, J Zeaiter Energy Conversion and Management 157, 146-156, 2018 | 27 | 2018 |
| Application of evolutionary neural networks and support vector machines to model NOx emissions from gas turbines M Azzam, M Awad, J Zeaiter Journal of environmental chemical engineering 6 (1), 1044-1052, 2018 | 24 | 2018 |
| Forensic readiness of industrial control systems under stealthy attacks M Azzam, L Pasquale, G Provan, B Nuseibeh Computers & Security 125, 103010, 2023 | 9 | 2023 |
| Grounds for suspicion: Physics-based early warnings for stealthy attacks on industrial control systems M Azzam, L Pasquale, G Provan, B Nuseibeh IEEE Transactions on Dependable and Secure Computing 19 (6), 3955-3970, 2021 | 8 | 2021 |
| Efficient predictive monitoring of linear time-invariant systems under stealthy attacks M Azzam, L Pasquale, G Provan, B Nuseibeh IEEE Transactions on Control Systems Technology, 2022 | 4 | 2022 |
| Towards a Quantum based GA Search for an Optimal Artificial Neural Networks Architecture and Feature Selection to Model NOx Emissions: A Case Study M Azzam, J Zeaiter, M Awad 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 1 | 2020 |
| Physics-based Early Warnings for Forensic Readiness in Industrial Control Systems M Azzam University of Limerick, 2022 | | 2022 |
