Hawkar Hashim Ibrahim
- (2024): 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 (December 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 (October 2024).
- (2022): 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 (December 2022).
- (2021): Predicting construction time and cost of tunnels using Markov chain model considering opinions of experts. In: Tunnelling and Underground Space Technology, v. 116 (October 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 (July 2021).
- (2020): Strength improvement of expansive soil by utilizing waste glass powder. In: Case Studies in Construction Materials, v. 13 (December 2020).
- (2021): Dynamic reduction of time and cost uncertainties in tunneling projects. In: Tunnelling and Underground Space Technology, v. 109 (March 2021).
- (2021): Forecasting sidewall displacement of underground caverns using machine learning techniques. In: Automation in Construction, v. 123 (March 2021).
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