A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A Bayesian deep learning approach for rheological properties prediction of asphalt binders considering uncertainty of output
https://orcid.org/0000-0002-2716-780X
https://orcid.org/0000-0003-1387-5116
A Bayesian deep learning approach for rheological properties prediction of asphalt binders considering uncertainty of output
https://orcid.org/0000-0002-2716-780X
https://orcid.org/0000-0003-1387-5116
A Bayesian deep learning approach for rheological properties prediction of asphalt binders considering uncertainty of output
https://orcid.org/0000-0002-2716-780X
https://orcid.org/0000-0003-1387-5116
A Bayesian deep learning approach for rheological properties prediction of asphalt binders considering uncertainty of output
Construction and Building Materials
Ji, Bongjun (author) / Sharma Bhattarai, Sushmit (author) / Na, Il-Ho (author) / Kim, Hyunhwan (author)
Construction and Building Materials ; 408 ; 133671
2023-12-01
Article (Journal)
Electronic Resource
English
High-Temperature Rheological Properties of Asphalt Binders
| British Library Online Contents | 2005
High-Temperature Rheological Properties of Asphalt Binders
| British Library Conference Proceedings | 2005
Rheological Properties of Polymer-Modified Asphalt Binders
British Library Online Contents | 1999