• Analysis of civil engineering infrastructure in Norway with solutions based on structural health monitoring and artificial intelligence 

      Tangrand, Kristoffer Meyer; Singh, Harpal (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-19)
      Ageing civil infrastructures such as bridges and building causes many consequences from practical and economical point of view. Especially in northern Norway, the impact of extreme arctic conditions is intense on civil engineering infrastructures (see \cite{Singh:2022:hologaland_Bridge}). With the increased loading due to the prosperous seafood industry and increased cargo activity is putting ...
    • E-Mobility and Batteries—A Business Case for Flexibility in the Arctic Region 

      Bremdal, Bernt Arild; Ilieva, Iliana; Tangrand, Kristoffer Meyer; Dadman, Shayan (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-28)
      This paper provides a method for determining the economic incentives and limitations for a battery used for peak clipping, with the goal of finding an optimal mix between the battery’s power density and energy density. A ratio called the R-factor has been introduced, which helps determine the energy demand to curb the peak. The paper’s results embrace different investment scenarios showing what ...
    • (Hp− Lp -Type inequalities for subsequences of Nörlund means of Walsh–Fourier series 

      Baramidze, David; Persson, Lars-Erik; Tangrand, Kristoffer Meyer; Tephnadze, George (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-07)
    • MCSINC. Summarising the main findings of work package 1: Demands and requirements for machine sensing infrastructure. 

      Venæs, Janne; Sande, André Bekkevold; Tangrand, Kristoffer Meyer; Seter, Hanne; Arnesen, Petter (Research report; Forskningsrapport, 2023)
      The main objective of the MCSINC project is to identify the opportunities and challenges with Al-based machine vision of road infrastructure under Nordic conditions. Work package 1 focuses specifically on "Demands and requirements for machine sensing infrastructure". This project report summarises the work done in work package 1 in the MCSINC-project: a state of the art on machine sensing under ...
    • Wavelet neural networks versus wavelet-based naural networks 

      Dechevski / Dechevsky, Lubomir Todorov; Tangrand, Kristoffer Meyer (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
      This is the first paper in a sequence of studies including also [#!llhm2022!#] and [#!llhm2022_1!#] in which we introduce a new type of neural networks (NNs) – wavelet-based neural networks (WBNNs) – and study their properties and potential for applications. We begin this study with a comparison to the currently existing type of wavelet neural networks (WNNs) and show that WBNNs vastly outperform ...