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aut journal of civil engineering
سال:2025 - دوره:9 - شماره:4
a machine learning framework for predicting maximum displacement of reinforced masonry shear walls under lateral loading
- صفحه:311-324
clockwork recurrent neural network- m5t: a new machine learning model for predicting reservoir inflow
- صفحه:297-310
ductility-based strength reduction factor for pulse-like and non-pulse-like ground motions
- صفحه:357-378
enhancing construction sustainability through the use of recycled aggregates in concrete production
- صفحه:325-336
influence of multi-directional expanded metal mesh reinforcement on cement mortar flexural performance
- صفحه:379-388
the behavior of high-strength lc3 concrete reinforced with recycled steel fiber under uniaxial compression and splitting tensile
- صفحه:337-356
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