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Adaptation of Natural Gradient Boosting Model for Production Environment
2022 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA), 2022Alexey Sergeevich Tyurin +1 more
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International Journal for Numerical and Analytical Methods in Geomechanics
ABSTRACT This study develops a reliability‐based framework for predicting and optimizing tunnel stability in rock masses under surcharge loading while explicitly accounting for both aleatory and epistemic uncertainties. A unified dataset for twin circular and square tunnels is generated using Adaptive Finite Element Limit Analysis ...
Tran Vu‐Hoang +4 more
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ABSTRACT This study develops a reliability‐based framework for predicting and optimizing tunnel stability in rock masses under surcharge loading while explicitly accounting for both aleatory and epistemic uncertainties. A unified dataset for twin circular and square tunnels is generated using Adaptive Finite Element Limit Analysis ...
Tran Vu‐Hoang +4 more
openaire +1 more source
Arabian Journal for Science and Engineering, 2022
Taskin Kavzoglu, Alihan Teke
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Taskin Kavzoglu, Alihan Teke
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Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference, 2020
Amel Belounnas, Florent Brissaud
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Amel Belounnas, Florent Brissaud
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A Comparative Analysis of Gradient Boosting Algorithms
Artificial Intelligence Review, 2021Gonzalo Martínez-Muñoz
exaly
Deep Learning Versus Gradient Boosting Machine for Pan Evaporation Prediction
Engineering Applications of Computational Fluid Mechanics, 2022Samed Inyurt +2 more
exaly

