Blar i Publikasjoner fra Cristin på emneord "Machine learning"

Viser treff 21-23 av 23

    • Towards AI-powered Cybersecurity Attack Modeling with Simulation Tools: Review of Attack Simulators 

      Alzarqawee, Aws Naser Jaber; Fritsch, Lothar (Lecture Notes in Networks and Systems;Volume 571, Conference object, 2023-10-18)
      Cybersecurity currently focuses primarily on defenses that detect and prevent cyber-attacks. However, it is more important to regularly verify an organization’s security posture to reinforce its cybersecurity defenses as ...

    • Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook 

      Goodwin, Morten; Halvorsen, Kim Aleksander Tallaksen; Jiao, Lei; Knausgård, Kristian Muri; Martin, Angela Helen; Moyano, Marta; Oomen, Rebekah Alice; Rasmussen, Jeppe Have; Sørdalen, Tonje Knutsen; Thorbjørnsen, Susanna Huneide (ICES Journal of Marine Science;, Peer reviewed; Journal article, 2022-01-14)
      The deep learning (DL) revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. New methods provide analysis of data from ...

    • Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence 

      Kolevatova, Anastasiia; Riegler, Michael; Cherubini, Francesco; Hu, Xiangping; Hammer, Hugo Lewi (Big Data and Cognitive Computing;Volume 5, Issue 4, Peer reviewed; Journal article, 2021-10-15)
      A general issue in climate science is the handling of big data and running complex and computationally heavy simulations. In this paper, we explore the potential of using machine learning (ML) to spare computational time ...