Browsing NTNU Open by Author "Bang, Sofie"

Now showing items 1-8 of 8

    • Application of machine learning to limited datasets: prediction of project success 

      Bang, Sofie; Aarvold, Magnus; Hartvig, Wilhelm; Olsson, Nils; Rauzy, Antoine (Peer reviewed; Journal article, 2022)
      Much research is conducted on the importance of success factors. This study contributes to the body of knowledge by using artificial intelligence (AI), specifically machine learning (ML), to analyse success factors through ...

    • Applications of AI in Construction: From ambition to practice 

      Bang, Sofie (Doctoral theses at NTNU;2023:426, Doctoral thesis, 2023)
      The topic of Artificial Intelligence (AI) in construction has sparked a lot of interest in recent years, with the emergence of new techniques, algorithms, and tools that have enhanced the way machines learn, reason, and ...

    • Artificial Intelligence in Construction Projects: A Systematic Scoping Review 

      Bang, Sofie; Olsson, Nils (Peer reviewed; Journal article, 2022)
      The use of artificial intelligence (AI) in construction projects has surged in recent years and is believed to represent a significant potential for increasing productivity and efficiency in the industry. The purpose of ...

    • Avfallsfrie byggeplasser 

      Bang, Sofie (Master thesis, 2020)
      I en byggenæring som stadig vokser, og per dags dato representerer nesten 40 % av verdens energibruk og energirelaterte klimagassutslipp, vokser behovet for mer bærekraftige løsninger like fort. Sirkulær tankegang og optimal ...

    • Barriers for data management as an enabler of circular economy: an exploratory study of the Norwegian AEC-industry 

      Bellini, Alessia; Bang, Sofie (Peer reviewed; Journal article, 2022)
      Effective data management can enable the utilisation of new tools and technologies and, ultimately the creation of circular business models in the building industry. To accomplish this, a targeted mapping and collection ...

    • Optimalisering av 3D laserskanning for kvalitetssikring 

      Aase, Preben; Egeland, Marius Midtun (Master thesis, 2022)
      Kvalitetssikring (KS) i produksjonen av byggeprosjekter er viktig for både å oppdage feil tidlig og for å gjøre arbeid riktig fra det bygges første gang. Tradisjonelle metoder for KS baserer seg i stor grad på stikkprøvekontroll ...

    • Optimalisering av 3D laserskanning for kvalitetssikring 

      Aase, Preben; Egeland, Marius Midtun (Master thesis, 2022)
      Kvalitetssikring (KS) i produksjonen av byggeprosjekter er viktig for både å oppdage feil tidlig og for å gjøre arbeid riktig fra det bygges første gang. Tradisjonelle metoder for KS baserer seg i stor grad på stikkprøvekontroll ...

    • Utilising Artificial Intelligence in Construction Site Waste Reduction 

      Bang, Sofie; Andersen, Bjørn Sørskot (Peer reviewed; Journal article, 2022)
      The purpose of this study is to examine how artificial intelligence (AI) can help reduce waste on construction sites. An explorative, mixed-method research design is deployed. Qualitative methods were utilised, including ...