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Now showing items 2721-2730 of 3781
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
The presence of snow and ice on runway surfaces reduces the available tire-pavement friction needed for retardation and directional control and causes potential economic and safety threats for the aviation industry during ...
Can everything be learned? Recovery of highly sparse images using deep neural networks. Restricted Access
(Master thesis / Masteroppgave, 2020)
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
Abstract We develop a theory of finite element systems, for the purpose of discretizing sections of vector bundles, in particular those arising in the theory of elasticity. In the presence of curvature, we prove a discrete ...
(Master thesis / Masteroppgave, 2022)
Elliptic curves are used in post-quantum cryptography, where two parties can use compositions of low-degree isogenies to establish a shared secret. There are several forms for representing elliptic curves, and different ...
(Master thesis / Masteroppgave, 2022)
(Master thesis / Masteroppgave, 2022)
Denne oppgaven har som mål å drøfte hvordan selvsimilaritet kan benyttes som et redskap i framstillingen og studiet av kurver med «patologiske» egenskaper, i all hovedsak fraktaler og flatefyllende kurver. For å kunne ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
Increased astrocytic Ca 2+ signaling has been shown in Alzheimer’s disease mouse models, but to date no reports have characterized behaviorally induced astrocytic Ca 2+ signaling in such mice. Here, we employ an event-based ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
In various research areas such as engineering, physics, and mathematics, numerical simulations play an important role. A number of research software simulation frameworks have been established, for instance, Dune (Bastian ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)
Deep Reinforcement Learning (DRL) has recently spread into a range of domains within physics and engineering, with multiple remarkable achievements. Still, much remains to be explored before the capabilities of these methods ...