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Multi Image Bilirubin Estimation
(Bachelor thesis, 2021)Gulsott hos nyfødte babyer er vanligvis et normalfenomen, som er forårsaket av økte nivåer i blodet av fargestoffet bilirubin. Unntaksvis kan disse nivåene stige til såpass høyde at tilstanden kan føre til permanente ... -
Multi-Attention SKFHDRNet For HDR Video Reconstruction
(Master thesis, 2022)High dynamic range (HDR) video reconstruction is a very challenging task, especially from sequence of frames with alternating exposures. A convenient approach to generating HDR video is to acquire a sequence of images with ... -
Multi-Channel Assessment Policies for Energy-Efficient Data Transmission in Wireless Underground Sensor Networks
(Peer reviewed; Journal article, 2023)Wireless Underground Sensor Networks (WUGSNs) transmit data collected from underground objects such as water substances, oil substances, soil contents, and others. In addition, the underground sensor nodes transmit the ... -
Multi-channel Provisioning of Public Services
(Doktoravhandlinger ved NTNU, 1503-8181; 2012:195, Doctoral thesis, 2012)Information technology facilitates a continuous change in how public services are organised and provided. Influenced by external and internal requirements, the changes are step-wise and non-linear, each step facilitating ... -
Multi-core programming with OpenCL: performance and portability: OpenCL in a memory bound scenario
(Master thesis, 2010)With the advent of multi-core processors desktop computers have become multiprocessors requiring parallel programming to be utilized efficiently. Efficient and portable parallel programming of future multi-core processors ... -
Multi-Domain Adapted Machine Translation Using Unsupervised Text Clustering
(LNCS;, Chapter, 2015)Domain Adaptation in Machine Translation means to take a machine translation system that is restricted to work in a specific context and to enable the system to translate text from a different domain. The paper presents a ... -
Multi-feature-based crowd video modeling for visual event detection
(Peer reviewed; Journal article, 2020)We propose a novel method for modeling crowd video dynamics by adopting a two-stream convolutional architecture which incorporates spatial and temporal networks. Our proposed method cope with the key challenge of capturing ... -
Multi-Formalism Modelling of a Submarine Combat System Test Facility: an Application of DEVS
(Master thesis, 2006)This thesis aims at applying and exploring the DEVS-based theory for the purpose of gaining experiences and recommendations with regards to the usefulness of DEVS in the analysis of a submarine combat system and in ... -
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-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-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-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-level contrast filtering in image difference metrics
(Journal article; Peer reviewed, 2013)In this paper, we present a new metric to estimate the perceived difference in contrast between an original image and a reproduction. This metric, named weighted-level framework Δ E E (WLF-DEE), implements a multilevel ... -
Multi-level grounding and self-organization of behaviour through evolution, development, learning and culture
(Doktoravhandlinger ved NTNU, 1503-8181; 2005:43, Doctoral thesis, 2005)The research topic of this PhD concerns the production of intelligent adaptive behaviour from the embodied perspective. The intelligence seen in biological organisms arises as an emergent property of a complex system ... -
Multi-modal Bayesian knowledge tracing
(Master thesis, 2022)I dette forskningsprosjektet sammenlignes Bayesian knowledge tracing (BKT) med en ny versjon av algoritmen, hvor innsikt fra multi-modal data (MMD) om studenters kognitive, affektive og atferdsmessige tilstander benyttes. ... -
Multi-modal Bayesian knowledge tracing
(Master thesis, 2022)I dette forskningsprosjektet sammenlignes Bayesian knowledge tracing (BKT) med en ny versjon av algoritmen, hvor innsikt fra multi-modal data (MMD) om studenters kognitive, affektive og atferdsmessige tilstander benyttes. ... -
Multi-modality quality assessment for unconstrained biometric samples
(Doctoral theses at NTNU;2018:171, Doctoral thesis, 2018)The aim of this research is to investigate multi-modality biometric image quality assessment methods for unconstrained samples. Studies of biometrics noted the significance of sample quality for a recognition system or a ... -
Multi-Objective Animal Migration Optimization - A Metaheuristic Optimization Algorithm
(Master thesis, 2018)Metaheuristic optimization has received a lot of attention over the last couple of decades. Some optimization problems are just too computationally heavy to solve with traditional search techniques, especially when there ...