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Nye registreringer

  • Predictive Modelling of Muscle Fatigue in Climbing 

    Boeker, Matthias; Swarbrick, Dana; Côté-Allard, Ulysse; Riegler, Michael; Halvorsen, Pål; Hammer, Hugo Lewi (Chapter; Peer reviewed; Conference object, 2024)
    Sport climbing, a discipline demanding high levels of muscular strength, endurance, and cognitive planning, has gained considerable popularity in recent years. The importance of managing muscle fatigue during climbing, ...

  • Mitigating Noise in Quantum Software Testing Using Machine Learning 

    Muqeet, Asmar; Yue, Tao; Ali, Shaukat; Arcaini, Paolo (IEEE Transactions on Software Engineering;, Peer reviewed; Journal article, 2024)
    Quantum Computing (QC) promises computational speedup over classic computing for solving complex problems. However, noise exists in current and near-term quantum computers. Quantum software testing (for gaining confidence ...

  • Ulikhetsdrivere i ungdomstida: funn fra Ungdom i endring 

    Eriksen, Ingunn Marie; Schwencke, Ellen Oftedal (Working paper, 2025)
    Hvordan formes livsbaner fra ung alder og inn i voksenlivet? I forskningsprogrammet ungdom i endring følger vi ungdommer over tid – fra starten av 8. trinn og inn i ung voksen alder. Dette datamaterialet hjelper oss med ...

  • Motivation for and Challenges in Teacher Research in Underdeveloped Areas of Northwest China: An Exploratory Study 

    Zhou, Na; Liu, Xin; Jin, Xinglin; Li, Tongji; Wang, Chenjing; Admiraal, Wilfried (Peer reviewed; Journal article, 2024)
    This study explored the motivations and challenges vocational teachers (VTs) face in conducting research in underdeveloped regions of Northwest China. We invited 49 vocational teachers from Qinghai province to participate ...

  • A Systematic Review of Building Energy Consumption Prediction: From Perspectives of Load Classification, Data-Driven Frameworks, and Future Directions 

    Chen, Guanzhong; Lu, Shengze; Zhou, Shiyu; Tian, Zhe; Kim, Moon Keun; Liu, Jiying; Liu, Xingfeng (Peer reviewed; Journal article, 2025)
    The rapid development of machine learning and artificial intelligence technologies has promoted the widespread application of data-driven algorithms in the field of building energy consumption prediction. This study ...

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