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Assessment of the Degree of binder Activity of Reclaimed Asphalt Pavement using Support Vector Regression and Clustering

  • Ramon Botella
  • , Davide Lo Presti
  • , Kamilla Vasconcelos
  • , Luciano Pivoto Specht
  • , Edith Arámbula Mercado
  • , Gustavo Menegusso Pires
  • , Emiliano Pasquini
  • , Chibuike Ogbo
  • , Francesco Preti
  • , Marco Pasetto
  • , Ana Jiménez del Barco Carrión
  • , Antonio Roberto
  • , Kranthi K. Kuna
  • , Marko Orešković
  • , Gurunath Guduru
  • , Amy Epps Martin
  • , Alan Carter
  • , Gaspare Giancontieri
  • , Ahmed Abed
  • , Adriana H. Martínez
  • Rodrigo Miró, Eshan Dave, Gabriele Tebaldi
  • Universitat Politècnica de Catalunya
  • Universidade Federal de Santa Maria
  • Azienda Ospedaliero-Universitaria di Parma
  • University of Nottingham
  • Università degli Studi di Palermo
  • Universidade de São Paulo
  • Texas A&M University System
  • Dynatest Latam
  • Università degli Studi di Padova
  • University of New Hampshire Durham
  • University of Parma
  • Universidad de Granada
  • Indian Institute of Technology Kharagpur
  • University of Belgrade
  • Ecole de Technologie Superieure and Cmind

Research output: Chapter in Book/Published conference outputConference publication

Original languageEnglish
Title of host publication1st International Data Science for Pavements Symposium DSPS2022
Publication statusPublished - 22 Mar 2022
Event1st International Data Science for Pavements Symposium DSPS2022 - , United States
Duration: 22 Mar 202224 Mar 2022

Conference

Conference1st International Data Science for Pavements Symposium DSPS2022
Country/TerritoryUnited States
Period22/03/2224/03/22

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