Blar i Institutt for IKT og realfag på tittel
Viser treff 125-144 av 555
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Corresponding Assessment Scenarios in Laboratory and On-Court Tests: Centrality Measurements by Complex Networks Analysis in Young Basketball Players
(Peer reviewed; Journal article, 2020)Besides technical and tactical aspects, basketball matches involve high aerobic and anaerobic capacities, conferring the final performance of a team. Thus, the evaluation of physical and technical responses is an effective ... -
CosmoAI: A study of gravitational lensing through simulation and machine learning
(Bachelor thesis, 2022)Gravitasjonslinsing brukes som et verktøy for å lokalisere og kartlegge mørk materie i universet. Gjennom Roulette-formalismen håper man at informasjon i linsen kan tolkes ved hjelp av ett felles matematisk rammeverk. ... -
Coverage Path Planning for Seabed Mapping using Autonomous Surface Vehicles
(Master thesis, 2019)The topic in this thesis is about path-planning for seabed mapping utilizing an autonomous surface vehicle with a sonar. In order for the path to be considered efficient, the depth and the characteristics of the sonar needs ... -
Cross-subject EEG linear domain adaption based on batch normalization and depthwise convolutional neural network
(Journal article; Peer reviewed, 2023)Electroencephalogram (EEG)-based emotion recognition has been widely used in affective computing. However, the study on improving recognition accuracy across individuals is insufficient. In this study, a new linear domain ... -
CT-Wood Arkivsystem
(Bachelor thesis, 2021)Ved Luleå tekniska universitet (LTU) så utføres materialstudier på tre. Til disse studiene anvendes en tomograf (CT-skanner) og et klimakammer. For hvert prosjekt hvor tomografen blir benyttet blir det generert en stor ... -
Damage detection in fish farming nets using video analysis.
(Bachelor thesis, 2019)I dagens oppdrettsnæring er det et stort fokus på å ta i bruk ny teknologi for å automatisere industrien. Et av selskapene som bidrar til dette er Stranda Prolog AS, som er oppdragsgiveren for denne bacheloroppgaven. Stranda ... -
Dashboard for flåtestyring
(Bachelor thesis, 2021)Bøstrand Transport i Ørsta driver med langtransport av varer og gods. De har og også kranbiler og driver med container- og spesialtransport. Transportoppdragene er derfor varierte, men for det meste går det i ordinær ... -
Data acquisition system for fault detection of guard rails
(Bachelor thesis, 2021)Rekkverkinspeksjon er i dag en tidkrevende oppgave. Inspeksjonen blir utført ved visuell undersøkelse av rekkverket, og personen som undersøker må være opplært for å kunne identifisere feil på rekkverket.Vår oppdragsgiver ... -
Data Aggregation, Processing and Visualisation
(Bachelor thesis, 2019)Denne bachelor-oppgaven er skrevet av tre studenter som går automasjonsingeniør-studiet ved NTNU i Ålesund. Prosjektet ble gjennomført i vår-semesteret 2019. Oppgaven ble gitt av Seaonics, som er et selskap som leverer ... -
Data Analysis and Prediction of Turbine Failures Based on Machine Learning and Deep Learning Techniques
(Master thesis, 2023)Turbines, the backbone of numerous industries for power generation, assume a critical role in ensuring seamless operations and a continuous power supply to the system. Their uninterrupted working conditions and performance ... -
Data and knowledge manangement in field studies A case for semantic technologies
(Journal article; Peer reviewed, 2017)Ship design is a knowledge-intensive industry. To design safe ship systems for demanding operations, there is an increasing need for comprehensive knowledge of the operational context. Field studies is an important source ... -
Data Device Control
(Bachelor thesis, 2018)Digitalisering av hverdagen er i full sving, og mange av produktene du kan få kjøpt i dag kan kobles til internettet på en eller annen måte. Utfordringen er å få en lett tilgjengelig sentral der du kan styre det som er ... -
Data Kollektivet
(Bachelor thesis, 2018)I Norge bor det i gjennomsnitt 2 personer per hushold. Det gjør at veldig mange må forholde seg til andre mennesker når det kommer til oppgaver og gjøremål i hjemmet. For å hjelpe med denne problemstillingen ville vi ... -
Data Version Control for Relational Databases: Small and Start-up Business Perspective
(Peer reviewed; Journal article, 2016)Data-related businesses is an emerging trend in the recent decade. However, the availability and amount of information make it difficult to ensure quality in terms of data fusion and version control. Completely automated ... -
Data-Driven Maritime Processes Management Using Executable Models
(Journal article, 2018)In this paper we describe a decision support system for maritime traffic and operations, based on formal models and driven by data from the environment. To handle the complexity of system description, we work with a ... -
Decision Transparency for enhanced human-machine collaboration for autonomous ships
(Chapter, 2023)Maritime Autonomous Surface Ships (MASS) are quickly emerging as a gamechanging technology in various parts of the world. They can be used for a wide range of applications, including cargo transportation, oceanographic ... -
Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography
(Peer reviewed; Journal article, 2022)Globally, coal remains one of the natural resources that provide power to the world. Thousands of people are involved in coal collection, processing, and transportation. Particulate coal dust is produced during these ... -
Deep learning for fault detection of guardrails
(Master thesis, 2020)Mennesker er uendelig flinke til å trekke ut informasjon fra bilder i kompleks natur å finne og klassifisere et objekt. I løpet av de siste årene har algoritmer og metoder blitt presentert for å gjøre det samme. Avanserte ... -
Deep Learning for Low-Resource and Morphology-Rich Language Processing
(Doctoral theses at NTNU;2023:50, Doctoral thesis, 2023)Since data-driven Natural Language Processing (NLP) approaches emerged in the late 60s, many practical applications have been proposed, such as automatic sentiment analyzers and named entity recognizers. Today, the robust ... -
Deep Privacy based Face Anonymization for Smart Cities
(Journal article, 2023)Interest in privacy has increased due to the public’s increased attention given to it by the introduction of the EU’s GDPR. The number of images containing identifiable features has multiplied dramatically in an increasingly ...