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Now showing items 2551-2560 of 3781
(Master thesis / Masteroppgave, 2022)
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)
Fault detection, diagnosis, identification and location are crucial to improve the sensitivity and reliability of system protection. This maintains power systems continuous proper operation; however, it is challenging in ...
(Master thesis / Masteroppgave, 2021)
While neural networks have been demonstrated to be highly successful in mathematical and statistical modelling of a comprehensive selection of problems, their application to inverse problems is not without complications. ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
There is a wide consensus within the polar science, meteorology, and oceanography communities that more in situ observations of the ocean, atmosphere, and sea ice are required to further improve operational forecasting ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)
We introduce the notion of one-sided mapping cones of positive linear maps between matrix algebras. These are convex cones of maps that are invariant under compositions by completely positive maps from either the left or ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)
We derive a series expansion by Hermite polynomials for the price of an arithmetic Asian option. This requires the computation of moments and correlators of the underlying asset price which for a polynomial jump–diffusion ...
(Master thesis / Masteroppgave, 2022)
Stock market forecasting has long piqued the curiosity of academics and professionals. However, because of the markets’ chaotic dynamics, increased volatility, unstable liquidity, and periodic flash crashes, conducting ...
(Master thesis / Masteroppgave, 2020)
Fairness is an inherently important aspect of decision-making in general, and with automated algorithms increasingly making decisions impacting our lives it is of paramount importance that the decisions they make be fair ...
(Doctoral thesis / Doktoravhandling, 2022)
Quantum groups first arose out of the study of integrability in quantum mechanics, presenting a new notion of symmetry extending beyond the traditional group concept. Quantum groups can be thought of as the collection of ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
Recent works have presented promising results from the application of machine learning (ML) to the modeling of flow rates in oil and gas wells. Encouraging results and advantageous properties of ML models, such as ...