Articles with public access mandates - Amir KavussiLearn more
Not available anywhere: 2
Use of a machine learning-based framework to approximate the input features of an intrinsic cohesive zone model of recycled asphalt mixes tested at low temperatures
SM Motevalizadeh, A Kavussi, K Mollenhauer, C Vuye, N Hasheminejad
Construction and Building Materials 373, 130870, 2023
Mandates: Federal Ministry of Education and Research, Germany
Predicting the fracture mechanics responses of recycled asphalt mixes using machine learning-based algorithms: Application of CART algorithm and neural networks
SM Motevalizadeh, A Kavussi, K Mollenhauer
Engineering Fracture Mechanics 276, 108791, 2022
Mandates: Federal Ministry of Education and Research, Germany
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