Hawkar Hashim Ibrahim
- A Rigorous Examination of Twelve Cutting-Edge Machine-Learning Techniques for Predicting Time and Cost in Tunneling Projects. In: Journal of Construction Engineering and Management, v. 150, n. 12 (Dezember 2024). (2024):
- Predicting rockbursts in deep tunnels based on ejection velocity and kinetic energy measurements using advanced machine learning. In: Automation in Construction, v. 166 (Oktober 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. In: Tunnelling and Underground Space Technology, v. 130 (Dezember 2022). (2022):
- Predicting construction time and cost of tunnels using Markov chain model considering opinions of experts. In: Tunnelling and Underground Space Technology, v. 116 (Oktober 2021). (2021):
- Machine learning forecasting models of disc cutters life of tunnel boring machine. In: Automation in Construction, v. 128 (August 2021). (2021):
- Presenting the best prediction model of water inflow into drill and blast tunnels among several machine learning techniques. In: Automation in Construction, v. 127 (Juli 2021). (2021):
- Strength improvement of expansive soil by utilizing waste glass powder. In: Case Studies in Construction Materials, v. 13 (Dezember 2020). (2020):
- Dynamic reduction of time and cost uncertainties in tunneling projects. In: Tunnelling and Underground Space Technology, v. 109 (März 2021). (2021):
- Forecasting sidewall displacement of underground caverns using machine learning techniques. In: Automation in Construction, v. 123 (März 2021). (2021):