Improved Pelican Optimization Algorithm Enhances Random Forest Slope Stability Prediction
An improved pelican optimization algorithm enhances random forest hyperparameter tuning to classify slope stability across 898 cases.
An improved pelican optimization algorithm enhances random forest hyperparameter tuning to classify slope stability across 898 cases.
A newly developed framework optimizes river sand-cement-gypsum mixtures and applies a Weibull model to coordinate mechanical reconstruction and damage evolution ...
A deep learning model based on MIONet predicts strip foundation load-displacement curves and displacement fields in under three seconds with ...
A study of Chinese adolescents found that school attachment strengthens the link between family cohesion and self-esteem through interpersonal self-support.
Watch a doubles tennis match closely and you will notice something easy to miss: the match does not really pause ...
A new Monte Carlo simulation study shows that random measurement errors of just a few millimeters can shift geotechnical parameter ...
New model experiments show that the clay content of ancient landslide deposits determines whether rainfall triggers rapid shallow sliding or ...
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© 2026 Scienmag - Science Magazine