Machine Learning in Hazardous Building Material Management: Research Status and Applications

Pei-Yu Wu; Kristina Mjörnell; Claes  Sandels; Mikael Mangold

doi:10.21926/rpm.2102017

Machine Learning in Hazardous Building Material Management: Research Status and Applications

Pei-Yu Wu, Kristina Mjörnell, Claes Sandels, Mikael Mangold

Division of Building Physics

Research Institutes of Sweden (RISE)

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Recent Progress in Materials
Volume	3
Issue number	2
DOIs	https://doi.org/10.21926/rpm.2102017
Publication status	Published - 2021 May 11

Subject classification (UKÄ)

Building Technologies

Access to Document

10.21926/rpm.2102017

Cite this

@article{a9df176dd26f49dba12a5555e0369d3f,

title = "Machine Learning in Hazardous Building Material Management: Research Status and Applications",

author = "Pei-Yu Wu and Kristina Mj{\"o}rnell and Claes Sandels and Mikael Mangold",

year = "2021",

month = may,

day = "11",

doi = "10.21926/rpm.2102017",

language = "English",

volume = "3",

journal = "Recent Progress in Materials",

issn = "2689-5846",

publisher = "LIDSEN Publishing",

number = "2",

}

TY - JOUR

T1 - Machine Learning in Hazardous Building Material Management

T2 - Research Status and Applications

AU - Wu, Pei-Yu

AU - Mjörnell, Kristina

AU - Sandels, Claes

AU - Mangold, Mikael

PY - 2021/5/11

Y1 - 2021/5/11

U2 - 10.21926/rpm.2102017

DO - 10.21926/rpm.2102017

M3 - Article

SN - 2689-5846

VL - 3

JO - Recent Progress in Materials

JF - Recent Progress in Materials

IS - 2

ER -

Machine Learning in Hazardous Building Material Management: Research Status and Applications

Subject classification (UKÄ)

Access to Document

Other files and links

Predicting hazardous materials in the Swedish building stock using data mining

Cite this