Enhanced Databases on City’s Building Material Stock. An Urban Mining Method Based on Machine Learning for Enabling Building’s Materials Reuse Strategies

Author:

Markopoulou Areti,Taut Oana,Shawqy Hesham

Publisher

Springer International Publishing

Reference15 articles.

1. Abdulla W (2018) Object detection tasks. https://engineering.matterport.com/splash-of-color-instance-segmentation-with-mask-r-cnn-and-tensorflow-7c761e238b46. Accessed 13 Jan 2023

2. Arora M, Raspall F, Cheah L, Silva A (2020) Buildings and the circular economy: estimating urban mining, recovery and reuse potential of building components. Resour, Conserv Recycl 154

3. Arora M, Raspall F, Fearnley L, Silva A (2021) Urban mining in buildings for a circular economy: planning, process and feasibility prospects. Resour, Conserv Recycl 174

4. Bell S, Upchurch P, Snavely N, Bala K (2015) Material recognition in the wild with the materials in context database. Department of Computer Science, Cornell University

5. Ellen MacArthur Foundation (2012) Towards the circular economy: an economic and business rationale for an accelerated transition. J Ind Ecol. Isle of Wight. https://www.werktrends.nl/app/uploads/2015/06/Rapport_McKinsey-Towards_A_Circular_Economy.pdf. Accessed 04 Oct 2022

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