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Artificiell intelligens och intelligenta system

Automatiserade mjukvaruspråkutveckling och mjukvaruteknik

Certifierbara bevis och justifieringsteknik

Cyber-fysisk systemanalys

Datakommunikation

Digitalisering

Formell modellering och analys av inbyggda system

Förnybar energi

Heterogena system

Industriell programvaruteknik

Komplexa inbyggda system i realtid

Lärande och optimering

Medicinsk teknik

Modellbaserad konstruktion av inbäddade system

Programmeringsspråk

Programvarutestlaboratorium

Resurseffektivisering

Säkerhetskritisk teknik

Teknisk matematik

Machine Learning for the prevention of occupational accidents in the construction industry

The purpose of the project "Machine Learning for the prevention of occupational accidents in the construction industry" is to use the best-suited ML algorithm and ensure that the data collected can be used to prevent workplace accidents in the construction industry.

Avslutat

Start

2018-11-01

Avslut

2020-12-31

Huvudfinansiering

Forskningsinriktning

Projektansvarig vid MDH

No partial template found

Today, industries are continuously collecting extensive data on the accidents that have occurred at a construction site. With the help of ML, it is possible to find underlying patterns in the data they collect, which provides great potential for predicting accidents at an early stage. The purpose of the project "Machine Learning for the prevention of occupational accidents in the construction industry" is to use the best-suited ML algorithm and ensure that the data collected can be used to prevent workplace accidents in the construction industry.

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