"Espinosa-Leal, Leonardo" - Selaus tekijän mukaan Julkaisut
Viitteet 1-16 / 16
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A machine learning method for predicting the chloride migration coefficient of concrete
Construction and Building Materials (Elsevier BV, 2022) -
Acetylsalicylic Acid Effect in Colorectal Cancer Taking into Account the Role of Tobacco, Alcohol and Excess Weight
International Journal of Environmental Research and Public Health : 5 (MDPI AG, 2023) -
Assessing Trustworthy AI in times of COVID-19. Deep Learning for predicting a multi-regional score conveying the degree of lung compromise in COVID-19 patients
IEEE Transactions on Technology and Society (Institute of Electrical and Electronics Engineers (IEEE), 2022) -
Characterising the linear viscoelastic behaviour of an injection moulding grade polypropylene polymer
(Kluwer Academic Publishers, 2021) -
Characterising the notch root radii and analyses of stress concentration factors near the dominant valleys of rough surface profiles
Rakenteiden Mekaniikka : 2 (Rakenteiden Mekaniikan Seura ry, 2023) -
Indoor Scene Recognition via Object Detection and TF-IDF
(MDPI AG, 2022) -
Low-dose acetylsalicylic acid for cancer prevention considering risk factors: a retrospective cohort study
Annals of Epidemiology (Elsevier BV, 2023) -
Multitarget regression models for predicting compressive strength and chloride resistance of concrete
Journal of Building Engineering (Elsevier BV, 2023) -
On the Short-Term Creep and Recovery Behaviors of Injection Molded and Additive-Manufactured Tough Polylactic Acid Polymer
Journal of Materials Engineering and Performance (Springer Science and Business Media LLC, 2023) -
Optimising the mechanical properties of additive-manufactured recycled polylactic acid (rPLA) using single and multi-response analyses methods
The International Journal of Advanced Manufacturing Technology : 11-12 (Springer Science and Business Media LLC, 2023) -
Prediction of chloride resistance level of concrete using machine learning for durability and service life assessment of building structures
Journal of Building Engineering (Elsevier BV, 2022) -
Reliable Fleet Analytics for Edge IoT Solutions
(Iaria xps press, 2020) -
Unveiling non-steady chloride migration insights through explainable machine learning
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 ...
