Browsing Institutt for datateknologi og informatikk by Title
Now showing items 3974-3993 of 6819
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M365 Compliance and Security
(Bachelor thesis, 2021)I denne oppgaven designer og implementerer vi et IT-system for en liten bedrift: Trondheim Knekk og Brekk AS. Prosjektet har sterkt fokus på Microsofts systemer for å sikre samsvar og sikkerhet, og prøver å implementere ... -
Machine Learning (ML) diffusion in the design process: A study of Norwegian design consultancies
(Peer reviewed; Journal article, 2023) -
Machine Learning Approaches to Automatically Detect Glacier Snow Lines on Multi-Spectral Satellite Images
(Peer reviewed; Journal article, 2022)Documenting the inter-annual variability and the long-term trend of the glacier snow line altitude is highly relevant to document the evolution of glacier mass changes. Automatically identifying the snow line on glaciers ... -
A Machine Learning Classifier for Detection of Physical Activity Types and Postures During Free-Living
(Journal article; Peer reviewed, 2021)Accelerometer-based measurements of physical activity types are commonly used to replace self-reports. To advance the field, it is desirable that such measurements allow accurate detection of key daily physical activity ... -
Machine Learning for Adverse Event Analysis in Healthcare: Identifying Opportunities and Conducting a Classification Study
(Master thesis, 2023)Uønskede hendelser er en nøkkelindikator for pasientsikkerhet på sykehus. Slike hendelser innebærer utilsiktede pasientskader, og selv om noen av disse er uunngåelige, viser forskning at mange uønskede hendelser kan ... -
Machine Learning for Adverse Event Analysis in Healthcare: Identifying Opportunities and Conducting a Classification Study
(Master thesis, 2023)Uønskede hendelser er en nøkkelindikator for pasientsikkerhet på sykehus. Slike hendelser innebærer utilsiktede pasientskader, og selv om noen av disse er uunngåelige, viser forskning at mange uønskede hendelser kan ... -
Machine Learning for Gesture Recognition with Electromyography
(Master thesis, 2017)About 70 million deaf people use sign language as their first language or mother tongue, but the lack of a common language between the deaf and hearing individuals makes the general communication difficult. This thesis ... -
Machine Learning for Hydropower Scheduling: State of the Art and Future Research Directions
(Peer reviewed; Journal article, 2020)This paper investigates and discusses the current and future role of machine learning (ML) within the hydropower sector. An overview of the main applications of ML in the field of hydropower operations is presented to show ... -
Machine learning for prevention of strike damage
(Bachelor thesis, 2022)Graveskader forårsaker hvert år kostbare skader på infrastruktur som påvirker levebrødet og skaper ulemper for mange rundt om i Norge. Formålet med denne rapporten er å utforske muligheten til å forutsi utfallet til ... -
Machine Learning for Smart Building Applications: Review and Taxonomy
(Journal article; Peer reviewed, 2019)The use of machine learning (ML) in smart building applications is reviewed in this article. We split existing solutions into two main classes: occupant-centric versus energy/devices-centric. The first class groups solutions ... -
Machine Learning for Spatio-Temporal Forecasting of Ambulance Demand: A Norwegian Case Study
(Master thesis, 2021)I akuttmedisinen opererer man ofte i en kamp mot klokken. Man må fordele tilgjengelige ressurser strategisk slik at man kan nå mennesker i nød på kortest mulig tid og redde liv. For å kunne posisjonere ambulanser strategisk ... -
Machine Learning in Financial Market Surveillance: A Survey
(Peer reviewed; Journal article, 2021)The use of machine learning for anomaly detection is a well-studied topic within various application domains. However, the detection problem for market surveillance remains challenging due to the lack of labeled data and ... -
Machine learning methods for sleep-wake classification using two body-worn accelerometers
(Master thesis, 2019)Søvn er en viktig faktor for beskytte en persons fysiske og mentale trivsel. Derfor utføres mange studier som fokuserer på forebygge, diagnostisere og behandle søvnforstyrrelser. En avgjørende del av disse studiene er ... -
A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual Information
(Journal article; Peer reviewed, 2024)Purpose: Body-worn accelerometers are commonly used to estimate sleep duration in population-based studies. However, since accelerometry-based sleep/wake-scoring relies on detecting body movements, the prediction of sleep ... -
Machine Translation in Low-Resource Languages by an Adversarial Neural Network
(Peer reviewed; Journal article, 2021)Existing Sequence-to-Sequence (Seq2Seq) Neural Machine Translation (NMT) shows strong capability with High-Resource Languages (HRLs). However, this approach poses serious challenges when processing Low-Resource Languages ... -
MagMAR. Collaborative, Mobile Augmented Reality supported game with player generated content.
(Master thesis, 2013)Playing games in the museums enabled teachers to engage young museum visitors in the museum experience more deeply and made the place seem more fun. Aim of these games is to encourage the young visitors to investigate the ... -
Magnitude Adversarial Spectrum Search-based Black-box Attack against Image Classification
(Master thesis, 2022)De siste årene har forskning vist at dype nevrale nettverk som brukes i bildeklassifiseringssystemer er sårbare mot fiendtlige angrep. I denne oppgaven utformer vi et umålrettet søkeeffektivt beslutningsbasert svart-boks ... -
Magnitude Adversarial Spectrum Search-based Black-box Attack against Image Classification
(Master thesis, 2022)De siste årene har forskning vist at dype nevrale nettverk som brukes i bildeklassifiseringssystemer er sårbare mot fiendtlige angrep. I denne oppgaven utformer vi et umålrettet søkeeffektivt beslutningsbasert svart-boks ... -
Magnitude Adversarial Spectrum Search-based Black-box Attack against Image Classification
(Chapter, 2022)Recent development has revealed that deep neural networks used in image classification systems are vulnerable to adversarial attacks. Thus, it is critical to understand the possible adversarial attacks to develop effective ... -
Magno: A Platform for Dyslexia Screening
(Master thesis, 2022)Dysleksi er ansett som en av de mest vanlige leseforstyrrelsene. Evnen til å oppdage dysleksi tidlig er kritisk for å kunne redusere de negative innvirkningene dysleksi kan ha. Det magnocellulære systemet virker å være ...