"Taffese, Woubishet Zewdu" - Selaus tekijän mukaan Julkaisut
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A machine learning method for predicting the chloride migration coefficient of concrete
Taffese, Woubishet Zewdu; Espinosa-Leal, Leonardo
Construction and Building Materials (Elsevier BV, 2022) -
Automated concrete curing and assessment of strength and durability using IoT system
Taffese, Woubishet Zewdu; Nigussie, Ethiopia
Materials Today: Proceedings (Elsevier BV, 2023) -
Concrete aging factor prediction using machine learning
Taffese, Woubishet Zewdu; Wally, Gustavo Bosel; Magalhães, Fábio Costa; Espinosa-Leal, Leonardo
Materials Today Communications (Elsevier BV, 2024) -
Cow Dung Ash in Mortar: An Experimental Study
Worku, Muluken Alebachew; Taffese, Woubishet Zewdu; Hailemariam, Behailu Zerihun; Yehualaw, Mitiku Damtie
Applied Sciences : 10 (MDPI AG, 2023) -
Enhancing Mortar Properties through Thermoactivated Recycled Concrete Cement
Getachew, Ephrem Melaku; Yifru, Begashaw Worku; Taffese, Woubishet Zewdu; Yehualaw, Mitiku Damtie
Buildings : 9 (MDPI AG, 2023) -
Impact of Partial Replacement of Cement with a Blend of Marble and Granite Waste Powder on Mortar
Nega, Daniel Mulat; Yifru, Begashaw Worku; Taffese, Woubishet Zewdu; Ayele, Yalew Kassa; Yehualaw, Mitiku Damtie
Applied Sciences : 15 (MDPI AG, 2023) -
Multitarget regression models for predicting compressive strength and chloride resistance of concrete
Taffese, Woubishet Zewdu; Espinosa-Leal, Leonardo
Journal of Building Engineering (Elsevier BV, 2023) -
Prediction of chloride resistance level of concrete using machine learning for durability and service life assessment of building structures
Taffese, Woubishet Zewdu; Espinosa-Leal, Leonardo
Journal of Building Engineering (Elsevier BV, 2022) -
Unveiling non-steady chloride migration insights through explainable machine learning
Taffese, Woubishet Zewdu; Espinosa-Leal, Leonardo
Journal of Building Engineering (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 ...








