Haku
Viitteet 11-19 / 19
Unveiling non-steady chloride migration insights through explainable machine learning
(Elsevier BV, 2024)
This study explores the influence of concrete mix ingredients on the non-steady chloride migration coefficient () using an explainable machine learning (XML) approach that integrates Extreme Gradient Boosting (XGBoost) and ...
On the Short-Term Creep and Recovery Behaviors of Injection Molded and Additive-Manufactured Tough Polylactic Acid Polymer
(Springer Science and Business Media LLC, 2023)
Characterising the notch root radii and analyses of stress concentration factors near the dominant valleys of rough surface profiles
(Rakenteiden Mekaniikan Seura ry, 2023)
Concrete aging factor prediction using machine learning
(Elsevier BV, 2024)
Can land-use and land-cover change explain reduced resilience in forests?
(Frontiers Media SA, 2024)
