Development of a machine learning model to improve estimates of material stock and embodied emissions of roads-Reference-Cited by-同舟云学术

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Development of a machine learning model to improve estimates of material stock and embodied emissions of roads

Published:2024-09 Issue: Volume:14 Page:100211
ISSN:2666-7894
Container-title:Cleaner Environmental Systems
language:en
Short-container-title:Cleaner Environmental Systems

Author:

Liu Qiyu^ORCID,Rootzén Johan,Johnsson Filip

Funder

STIFTELSEN FÖR MILJÖSTRATEGISK FORSKNING

Publisher

Elsevier BV

Reference76 articles.

1. Optuna: a next-generation hyperparameter optimization framework;Akiba;Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.,2019

2. Explainable artificial intelligence (XAI): what we know and what is left to attain trustworthy artificial intelligence;Ali;Inf. Fusion,2023

3. Studying construction materials flows and stock: a review;Augiseau;Resour. Conserv. Recycl.,2017

4. Studying construction materials flows and stock: a review;Augiseau;Resour. Conserv. Recycl.,2017

5. High-resolution quantification of building stock using multi-source remote sensing imagery and deep learning;Bao;J. Ind. Ecol.,2023

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