Track geometry prediction using three-dimensional recurrent neural network-based models cross-functionally co-simulated with bim

HIGHLIGHTS

• who: Jessada Sresakoolchai and Sakdirat Kaewunruen from the Department of Civil Engineering, School of Engineering, University of Birmingham, Birmingham , TT, UK have published the Article: Track Geometry Prediction Using Three-Dimensional Recurrent Neural Network-Based Models Cross-Functionally Co-Simulated with BIM, in the Journal: Sensors 2023, 22, x FOR PEER REVIEW of /2023/
• what: From the study the developed BIM models can be used to exchange information for predictive maintenance. The novelties of the study are this study purposes a workflow to cross-functionally co-simulate BIM with machine_learning, which is the highest BIM . . .
  

   

  

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