• Design of Reinforced Concrete Isolated Footings Under Axial Loading with Artificial Neural Networks 

      Ramirez, German Solorzano; Plevris, Vagelis (EUROGEN;Proceedings of the 14th International Conference on Evolutionary and Deterministic Methods For Design, Optimization and Control, Conference object, 2021)
      In engineering practice, the design of structural elements is a repetitive task that has proven to be difficult to fully automate. This is mainly because of the complex relations of the design variables and the multiple ...
    • Explaining deep neural networks for knowledge discovery in electrocardiogram analysis 

      Hicks, Steven; Isaksen, Jonas L; Thambawita, Vajira L B; Ghouse, Jonas; Ahlberg, Gustav; Linneberg, Allan; Grarup, Niels; Strumke, Inga; Ellervik, Christina; Olesen, Morten Salling; Hansen, Torben; Graff, Claus; Holstein-Rathlou, Niels-Henrik; Halvorsen, Pål; Maleckar, Mary Margot Catherine; Riegler, Michael; Kanters, Jørgen K (Scientific Reports;11, Article number: 10949 (2021), Peer reviewed; Journal article, 2021-05-26)
      Deep learning-based tools may annotate and interpret medical data more quickly, consistently, and accurately than medical doctors. However, as medical doctors are ultimately responsible for clinical decision-making, any ...
    • Intelligent Initiatives to Reduce CO2 Emissions in Construction 

      Farahzadi, Leila; Kioumarsi, Mahdi (Conference object, 2022-11-24)
      Global warming is one of the most important environmental issues that threatens the living on this globe so far. Carbon dioxide (CO2) emission from the construction industry is one of the major sources of emissions that ...