Machine learning techniques to estimate the degree of binder activity of reclaimed asphalt pavement von Botella, Ramon, Lo Presti, Davide, Vasconcelos, Kamilla, Bernatowicz, Kinga, Martínez, Adriana H., Miró, Rodrigo, Specht, Luciano, Mercado, Edith Arámbula, Pires, Gustavo Menegusso, Pasquini, Emiliano, Ogbo, Chibuike, Preti, Francesco, Pasetto, Marco, del Barco Carrión, Ana Jiménez, Roberto, Antonio, Orešković, Marko, Kuna, Kranthi K., Guduru, Gurunath, Martin, Amy Epps, Carter, Alan, Giancontieri, Gaspare, Abed, Ahmed, Dave, Eshan, Tebaldi, Gabrielle

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Development of a Soybean-Based Rejuvenator for Asphalt Mixtures Containing High Reclaimed Asphalt Pavement Content

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Modelling of Oxidative Ageing in Bitumen Using Thermodynamics of Irreversible Processes (TIP): Potential and Challenges

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