Browsing Det matematisk-naturvitenskapelige fakultet by Title
Now showing items 10183-10202 of 19604
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(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2004)Background Microarray-based comparative genomic hybridisation (array CGH) is a technique by which variation in relative copy numbers between two genomes can be analysed by competitive hybridisation to DNA ...
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(Research report / Forskningsrapport, 1971)
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(Research report / Forskningsrapport, 1991)
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(Master thesis / Masteroppgave, 2009)Machs prinsipp angår et bredt spekter av fenomener knyttet til hvordan ting vekselvirker på lange, til og med kosmologiske, avstander. I denne masteroppgaven gir jeg en historisk oversikt over forskning som har foregått ...
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(Master thesis / Hovedoppgave, 2007)This paper consists of three complementary parts. First, there are the fundamental problems and challenges about the foundations [1,2,9] of Machine Composition (MC), especially in relation to human composition. Second, ...
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(Master thesis / Masteroppgave, 2021)This thesis explores the field of machine ethics and safety-critical intelligent machines. Machine ethics is concerned with ensuring that artificial autonomous systems possess moral guidelines, so that these systems are ...
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(Master thesis / Masteroppgave, 2014)
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(Doctoral thesis / Doktoravhandling, 2016)
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(Master thesis / Masteroppgave, 2019)
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A Machine Learning Approach To Improve Consistency In User-Driven Medical Image AnalysisRestricted Access (Master thesis / Masteroppgave, 2019)
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(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)Homogeneous catalysis using transition metal complexes is ubiquitously used for organic synthesis, as well as technologically relevant in applications such as water splitting and CO2 reduction. The key steps underlying ...
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(Master thesis / Masteroppgave, 2019)
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(Master thesis / Masteroppgave, 2021)
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(Master thesis / Masteroppgave, 2021)We use molecular dynamics and machine learning for exploring structures in alpha quartz, a crystalline form of silica. This material is simulated at the molecular level, and structures are created by carving out atoms from ...
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(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)Objective: Evaluation of intestinal viability is essential in surgical decision-making in patients with acute intestinal ischemia. There has been no substantial change in the mortality rate (30-93%) of patients with acute ...
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(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)In this paper we investigate how implementing machine learning could improve the efficiency of the search for Trans-Neptunian Objects (TNOs) within Dark Energy Survey (DES) data when used alongside orbit fitting. The ...
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(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)Electrical impedance spectroscopy (EIS) measurements on cells is a proven method to assess stem cell proliferation and differentiation. Cell regenerative medicine (CRM) is an emerging field where the need to develop and ...
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(Master thesis / Masteroppgave, 2017)
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A machine learning framework to predict phosphorylated class I epitopes: Implications for neoantigen discovery in cancerRestricted Access (Master thesis / Masteroppgave, 2018)Post translational modifications (PTMs) are chemical modifications to proteins that regulate many protein functions. Recently, PTMs found on human leukocyte antigen (HLA) bound epitopes specific to cancer cells have become ...
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(Master thesis / Masteroppgave, 2021)