Browsing NTNU Open by Title
Now showing items 61732-61751 of 100943
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Multi-generation genetic and fitness effects of immigration in a natural meta-population of song sparrows (Melospiza melodia)
(Doctoral theses at NTNU;2024:105, Doctoral thesis, 2024)Fragmentation leads to smaller habitat patches and population sizes, endangering population fitness and persistence, including through inbreeding depression and loss of genetic diversity. These effects can be mitigated ... -
Multi-GPU Maximum Flow Using the Groute Framework
(Master thesis, 2020)Maks flyt problemet er et kjerneproblem innen grafteori og algoritmer for å løse problemet har utviklet seg siden Ford og Fulkerson publiserte sin løsning i 1956. Dette problemet dukker opp i forskjellige flytproblemer i ... -
Multi-GPU sliding tile puzzle solving with GA*, Groute and Abstract Zobrist Hashing
(Master thesis, 2018)The A* algorithm has been a key search algorithm and part of AI literature for a long time. It has applications in computational biology, natural lan- guage processing, pathfinding, puzzle solving, and more. The complexity ... -
Multi-horizon stochastic programming
(Journal article; Peer reviewed, 2014)Infrastructure-planning models are challenging because of their combination of different time scales: while planning and building the infrastructure involves strategic decisions with time horizons of many years, one needs ... -
Multi-image detection and tracking of cracks in ship tanks
(Master thesis, 2021)Denne masteroppgaven omhandler bruk av romlig-temporal informasjon som er tilgjengelig i enkeltbildene til en video, for å forbedre sprekkdeteksjon i skipstanker. Hovedideen er å bevegelses-kompensere tidligere bilder til ... -
Multi-indicator supply chain management framework for food convergent innovation in the dairy business
(Peer reviewed; Journal article, 2021)A comprehensive integrated framework of indicators currently used in lean, agile, sustainable and resilient supply chain paradigms is developed under the umbrella of convergent innovation (CI) and applied to the management ... -
Multi-Instrument Automatic Music Transcription with Deep Learning
(Master thesis, 2021)Automatisk transkribering av musikk går ut på å bruke datamaskiner til å transformere lydfiler til en symbolsk representasjon, som MIDI-filer («Musical Instrument Digital Interface») eller noter. Denne oppgaven er den ... -
Multi-Instrument Investigation of Spectral Width in the Polar Ionosphere
(Master thesis, 2020)Spektralbredden er en av parameterne målt av Super Dual Auroral Radar Network (SuperDARN) radarer. På tross av at de er mye brukt i litteraturen, er det foreløpig ikke enighet om årsaken til spektralbreddevariasjonene sett ... -
Multi-isotope tracing of the 1.3–0.9 Ga evolution of Fennoscandia; crustal growth during the Sveconorwegian orogeny
(Peer reviewed; Journal article, 2021)Magmatism between 1.3 and 0.9 Ga at the southwestern margin of Fennoscandia, comprising mainly granitic batholiths and subordinate bimodal volcanic rocks, provides a nearly continuous magmatic record of the Fennoscandian ... -
Multi-isotope variation reveals social complexity in Viking Age Norway
(Peer reviewed; Journal article, 2022)Multi-isotope studies from human remains from Viking Age graves throughout Norway allow for a deeper understanding of mobility, livelihood, and social organization during the Viking Age (750–1050 CE). Based on a framework ... -
Multi-Kilowatt Peak Power Nanosecond Er-Doped Fiber Laser
(Journal article, 2016)We report a two-stage diode-pumped Er-doped fiber amplifier operating at the wavelength of 1550 nm at the repetition rate of 10-100 kHz with an average output power of up to 10 W. The first stage comprising Er-doped fiber ... -
Multi-label classification of a real-world image dataset
(Master thesis, 2017)Deep neural networks have shown increasing performance in image classification recent years. However, most of the methods developed in research are created, trained and compared on standard, general image collections. While ... -
Multi-label image classification with language-image models: an approach for a fine-grained domain-specific dataset
(Master thesis, 2022)Nylige framskritt innen selvveiledede bildemodeller (self-supervised pre-trained image models) har gjort det mulig å bygge gode modeller for oppgavespesifikk (task-specific) bildeklassifisering lettere og med mindre ... -
Multi-label Medical Image Segmentation using Convolutional Neural Networks
(Master thesis, 2020)Deep learning algorithms, in particular convolutional neural networks, are becoming a promising research tool in medical image segmentation. This thesis attempted to use annotated knee MRI images provided by Sunnmøre ... -
Multi-label Video Classification for Underwater Ship Inspection
(Master thesis, 2023)Today ship hull inspection including the examination of the external coating, detection of defects, and other types of external degradation such as corrosion and marine growth is conducted underwater by means of Remotely ... -
A Multi-Layer Framework for Reliability Assessment of Shore-to-Ship Fast Charging System Design
(Peer reviewed; Journal article, 2021)In this paper, a multi-layer framework is proposed to assess the reliability of Shore-to-Ship Charging (S2SC) systems, considering the potential for failures of the main elements, such as power converters and batteries. ... -
A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids
(Peer reviewed; Journal article, 2022)A major challenge of genome-wide association studies (GWASs) is to translate phenotypic associations into biological insights. Here, we integrate a large GWAS on blood lipids involving 1.6 million individuals from five ... -
Multi-layer material flow analysis of a primary aluminium production plant: connecting resource efficiency analysis and greenhouse gas emissions accounting
(Master thesis, 2019)The industry needs tools that allow the combined study of resource efficiency and GHG emission levels. In the primary aluminium industry, resource efficiency has traditionally focused on improving energy efficiency of ... -
Multi-layer systems approach for assessing the socio-economic metabolism of food
(Doctoral theses at NTNU;2017:314, Doctoral thesis, 2017)Population growth combined with increased per capita food demands and changing diets will have far-reaching resource and environmental consequences. This is primarily due to food production systems being both i) dependent ... -
Multi-Layer, Multi-Segment Iterative Optimization for Maritime Supply Chain Operations in a Dynamic Fuzzy Environment
(Peer reviewed; Journal article, 2020)This study aims to develop a multi-layer, multi-segment iterative optimization algorithm for the operations of a single agent, which can be either a container in a distribution system, an automated guided vessel in a ...