Blar i Faculty of Mathematics and Natural Sciences på tittel
Viser treff 4925-4944 av 9919
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Lumpfish Cyclopterus lumpus reproduction: Pituitary gene expression, physiological and morphological changes accompanying gonadal maturation
(Journal article; Peer reviewed, 2022)Lumpfish is the most important cleanerfish species in Atlantic salmon farming. Detailed information on the gonadal maturation process is a prerequisite for year-round production of juvenile lumpfish. In the present study ... -
The Lærdal-Gjende Fault: A detailed structural and thermochronological study
(Master thesis, 2015-06-01)The development of the Caledonian orogen to a passive margin leaded to the present-day Norwegian landscape. The most recent denudation history in Mesozoic and Cenozoic times holds the key to the morphotectonic development ... -
Læreboka si rolle i evolusjonsundervisninga
(Master thesis, 2021-05-31)Evolusjonsteorien er den store samlande ideen i biologivitskapen, og det er derfor viktig at befolkninga generelt har kunnskap om han. Skulen er den staden der det er størst potensiale for at opplysning om denne sentrale ... -
Lærers diskursive grep for å tilrettelegge for at elevene selv oppdager kunnskap
(Master thesis, 2022-03-21)I Fagfornyelsen står det at «Kjemi skal bidra til at elevene utvikler kreativitet og utfolder utforskertrang gjennom eksperimentelt og utforskende arbeid. Videre skal faget bidra til at elevene anerkjenner verdien av ... -
Læring av matematikk gjennom prosjekter i teknologi og design
(Journal article, 2006) -
Læring av naturfag og matematikk gjennom prosjekter i teknologi og design
(Journal article, 2006)Jeg nærer en uro. Fagområdet teknologi og design skal inkluderes i matematikkfaget, samt i naturfag og kunst og håndverk. Men vil elevene kunne lære naturfag og matematikk eller få økt innsikt i hvordan anvende naturfag ... -
Læring hos biologistudenter: En kvantitativ pilotstudie av læringsmønstre blant førsteårsstudenter i biologi
(Master thesis, 2019-06-21)For studenter er det viktig å ha gode strategier for å lære, ikke bare i studiehverdagen men også for senere deltakelse i arbeidslivet. Innsikt i studenters bruk av læringsstrategier kan danne et grunnlag for utvikling av ... -
Machine learning and artificial neural networks for seismic processing
(Doctoral thesis, 2023-05-05)Nylig har tilgjengeligheten av kraftige GPUer og "open source"-programvare gjort det mulig for kunstige nevrale nettverk å løse flere praktiske og industrielle problemer. Vi kan bruke nevrale nettverk til viktige seismiske ... -
Machine learning and electronic health records
(Master thesis, 2020-10-02)In this work, we investigate the benefits and complications of using machine learning on EHR data. We survey some recent literature and conduct experiments on real data collected from hospital EHR systems. -
Machine Learning Approaches for Biomarker Discovery Using Gene Expression Data
(Chapter, 2021)Biomarkers are of great importance in many fields, such as cancer research, toxicology, diagnosis and treatment of diseases, and to better understand biological response mechanisms to internal or external intervention. ... -
Machine learning approaches for high-dimensional genome-wide association studies
(Doctoral thesis, 2022-08-24)Formålet med Genome-wide association studies (GWAS) er å finne statistiske sammenhenger mellom genetiske varianter og egenskaper av interesser. De genetiske variantene som forklarer mye av variasjonene i genomfattende ... -
Machine Learning Approaches in Imaging Genetics
(Master thesis, 2021-06-01)Established approaches in imaging genetics and genome wide association studies (GWAS) such as univariate, multivariate and voxel-wise approaches, are prone to certain disadvantages such as being computationally expensive, ... -
Machine Learning based Detection and Identification of Trees using High Resolution Satellite Images
(Master thesis, 2021-06-01) -
Machine Learning in Automated Segmentation of Small Lesions in Magnetic Resonance Imaging for Multiple Sclerosis
(Master thesis, 2023-06-02) -
Machine learning in marine ecology: an overview of techniques and applications
(Journal article; Peer reviewed, 2023)Machine learning covers a large set of algorithms that can be trained to identify patterns in data. Thanks to the increase in the amount of data and computing power available, it has become pervasive across scientific ... -
Machine Learning methods for mood disorder decision support
(Master thesis, 2017-07-11) -
Machine learning methods for preference aggregation
(Master thesis, 2019-11-14)Preference aggregation is the process of combining multiple preferences orders into one global ranking. The top-ranked alternative is called the winner. Many aggregation methods have been considered in the literature. Some ... -
Machine Teaching for Explainable AI: Proof of Concept
(Master thesis, 2022-06-21)In today’s society, AI and machine learning are becoming more and more relevant. Following this, the field of Explainable AI is becoming of more relevance. The research project ”Machine Teaching for Explainable AI” aims ... -
Macro and Microstructural Characteristics of North Atlantic Deep-Sea Sponges as Bioinspired Models for Tissue Engineering Scaffolding
(Journal article; Peer reviewed, 2021)Sponges occur ubiquitously in the marine realm and in some deep-sea areas they dominate the benthic communities forming complex biogenic habitats – sponge grounds, aggregations, gardens and reefs. However, deep-sea sponges ... -
Macroecological context predicts species' responses to climate warming
(Journal article; Peer reviewed, 2021)Context-dependencies in species' responses to the same climate change frustrate attempts to generalize and make predictions based on experimental and observational approaches in biodiversity science. Here, we propose ...