Hawkar Hashim Ibrahim
- Predicting rockbursts in deep tunnels based on ejection velocity and kinetic energy measurements using advanced machine learning. Dans: Automation in Construction, v. 166 (octobre 2024). (2024):
- Developing six hybrid machine learning models based on gaussian process regression and meta-heuristic optimization algorithms for prediction of duration and cost of road tunnels construction. Dans: Tunnelling and Underground Space Technology, v. 130 (décembre 2022). (2022):
- Predicting construction time and cost of tunnels using Markov chain model considering opinions of experts. Dans: Tunnelling and Underground Space Technology, v. 116 (octobre 2021). (2021):
- Machine learning forecasting models of disc cutters life of tunnel boring machine. Dans: Automation in Construction, v. 128 (août 2021). (2021):
- Presenting the best prediction model of water inflow into drill and blast tunnels among several machine learning techniques. Dans: Automation in Construction, v. 127 (juillet 2021). (2021):
- Strength improvement of expansive soil by utilizing waste glass powder. Dans: Case Studies in Construction Materials, v. 13 (décembre 2020). (2020):
- Dynamic reduction of time and cost uncertainties in tunneling projects. Dans: Tunnelling and Underground Space Technology, v. 109 (mars 2021). (2021):
- Forecasting sidewall displacement of underground caverns using machine learning techniques. Dans: Automation in Construction, v. 123 (mars 2021). (2021):