DANELUZ, FABIOLA

DANELUZ, FABIOLA  

DPIA - DIPARTIMENTO POLITECNICO DI INGEGNERIA E ARCHITETTURA  

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Risultati 1 - 7 di 7 (tempo di esecuzione: 0.017 secondi).
Titolo Data di pubblicazione Autore(i) File
A Machine Learning Approach for the Simultaneous Prediction of Dynamic Modulus and Phase Angle of Asphalt Concrete Mixtures 1-gen-2024 Rondinella, F.; Daneluz, F.; Hofko, B.; Baldo, N.
Asphalt mixtures’ stiffness modulus prediction using a machine-learning approach based on temperature and frequency conditions 1-gen-2024 Baldo, N.; Rondinella, F.; Daneluz, F.; Valentin, J.; Vackova, P.; Krol, J. B.; Gajewski, M. D.
Improved predictions of asphalt concretes’ dynamic modulus and phase angle using decision-tree based categorical boosting model 1-gen-2023 Rondinella, F.; Daneluz, F.; Hofko, B.; Baldo, N.
Multivariate Regression of Road Segments' Accident Data in Italian Rural Networks 1-gen-2023 Baldo, N.; Indri, V.; Rondinella, F.; Daneluz, F.
Predicting volumetric properties and mechanical characteristics of asphalt concretes for thin wearing layers using a categorical boosting model 1-gen-2024 Baldo, N.; Rondinella, F.; Daneluz, F.; Valentin, J.; Vackova, P.; Manthos, E.
Stiffness Moduli Modelling and Prediction in Four-Point Bending of Asphalt Mixtures: A Machine Learning-Based Framework 1-gen-2023 Baldo, N.; Rondinella, F.; Daneluz, F.; Vacková, P.; Valentin, J.; Gajewski, M. D.; Król, J. B.
Volumetric Properties and Stiffness Modulus of Asphalt Concrete Mixtures Made with Selected Quarry Fillers: Experimental Investigation and Machine Learning Prediction 1-gen-2023 Rondinella, F.; Daneluz, F.; Vackova, P.; Valentin, J.; Baldo, N.