• A study on permanent deformation and fatigue damage interaction in asphalt concrete 

    Alamnie, Mequanent Mulugeta; Taddesse, Ephrem; Hoff, Inge (Peer reviewed; Journal article, 2023)
    The dominant load-induced damages, permanent deformation (PD) and fatigue cracking (F), are traditionally predicted separately by taking temperature as a variable of departure. This paper presents an experimental study of ...
  • Speeding up Smartphone-Based Dew Computing: In Vivo Experiments Setup Via an Evolutionary Algorithm 

    Yannibelli, Virginia; Hirsch, Matías; Toloza, Juan; Majchrzak, Tim A.; Zunino, Alejandro; Mateos, Cristian (Peer reviewed; Journal article, 2023)
    Dew computing aims to minimize the dependency on remote clouds by exploiting nearby nodes for solving non-trivial computational tasks, e.g., AI inferences. Nowadays, smartphones are good candidates for computing nodes; ...
  • At sanse med kunst og natur. Æstetiske læreprocesser i Antropocæn 

    Illeris, Helene (Peer reviewed; Journal article, 2023)
    Artiklen undersøger, hvordan æstetiske læreprocesser kan bidrage til at udvikle elevers økologiske opmærksomhed i en antropocæn verden præget af global menneskelig dominans. Gennem et case studie af og med en 6. klasses ...
  • A review on peak shaving techniques for smart grids 

    Rizvi, Syed Sabir Hussain; Chaturvedi, Krishna Teerth; Kolhe, Mohan Lal (Peer reviewed; Journal article, 2023)
    Peak shaving techniques have become increasingly important for managing peak demand and improving the reliability, efficiency, and resilience of modern power systems. In this review paper, we examine different peak shaving ...
  • Towards intelligent and trustworthy task assignments for 5G-enabled industrial communication systems 

    Huang, Mingfeng; Liu, Anfeng; Xiong, Neal N.; Vasilakos, Athanasios (Peer reviewed; Journal article, 2023)
    With the unprecedented prevalence of IIoT and 5G technology, various applications supported by industrial communication systems have generated exponentially increased processing tasks, which makes task assignment inefficient ...

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