• Fatigue-Life-Prediction-by-Means-of-Nonconstant-Variance-Probabilistic-Neural-Network 

      Nashed, Mohamad Shadi; Renno, Jamil; Mohamed, M. Shadi (2022 , Dataset)
      The modelling of fatigue using machine learning (ML) has been gaining traction in the engineering community. Among ML techniques, the use of probabilistic neural networks (PNNs) has recently emerged as a candidate for ...
    • HVAC system attack detection dataset 

      Elnour, M.; Meskin, Nader; Khan, K.; Jain, R. ( Elsevier Inc. , 2021 , Dataset)
      The importance of the security of building management systems (BMSs) has increased given the advances in the technologies used. Since the Heating, Ventilation, and Air Conditioning (HVAC) system in buildings accounts for ...
    • Probabilistic Machine Learning for Fatigue Data 

      Shady, Omar Tawfik; Renno, Jamil; Mohamed, M. Shadi; Sassi, Sadok; Muthalif, Asan G. A. (2021 , Dataset)
      Probabilistic neural networks (PNNs) are used to model the fatigue of metals and to model the vibration/stress relationship in process pipework. The data used in training the network and the network architecture are provided ...
    • Using Conditional Generative Adversarial Networks in Computational Mechanics -- Code 

      Trent, Stephen; Sassi, Sadok; M. Shadi, Mohamed; Renno, Jamil (2022 , Dataset)
      We use cGANs to solve computational mechanics. We model a structure using FEA and generate simulations results (deflection and stress). We then transform the FEA results into images where the colour channels correspond to ...