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- 2nd June 2021
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Abstract A data analysis method based on artificial neural networks aiming to support cause-and-effect analysis in design exploration studies is presented. The method clusters and aggregates the effects of multiple design variables based on the structural hierarchy of the evaluated system. The proposed method is exemplified in a case study showing that the predictive capability […]
Read MoreStrong research and profiling towards digitalization and sustainability in engineering renders strong application numbers. As we recently reached the deadlines for admission for the 2021 autumn, we can see that the application numbers for educations at BTH are strongly positive compared to recent years. We have a total of 8,137 applicants for our programs, which […]
Read MoreDet ska ske genom användandet av autonoma system och helt elektriska maskiner. Till sin hjälp används digitala tvillingar för att simulera olika effekter – en modell som forskarna vid BTH tagit fram.
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