Fakultet for teknologi, kunst og design (TKD): Nye registreringer
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Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian
(Chapter; Peer reviewed; Conference object; Journal article, 2023)Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ... -
Multimedia Datasets: Challenges and Future Possibilities
(Chapter; Peer reviewed; Conference object; Journal article, 2023)Public multimedia datasets can enhance knowledge discovery and model development as more researchers have the opportunity to contribute to exploring them. However, as these datasets become larger and more multimodal, besides ... -
Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol
(Peer reviewed; Journal article, 2023)More than 10 million Europeans show signs of mild cognitive impairment (MCI), a transitional stage between normal brain aging and dementia stage memory disorder. The path MCI takes can be divergent; while some maintain ... -
Universal design of specialised classrooms A survey on Art and Crafts studios
(Peer reviewed; Journal article, 2023)Krav til universell utforming av skoler er regulert av ulike lovverk. Ingen elever skal utestenges fra obligatorisk undervisning på bakgrunn av nedsatt funksjonsevne. Det kan likevel tas forbehold om rimelighet ut fra ... -
Estimating volcanic ash emissions using retrieved satellite ash columns and inverse ash transport modelling using VolcanicAshInversion v1.2.1, within the operational eEMEP volcanic plume forecasting system (version rv4_17)
(Peer reviewed; Journal article, 2024)Accurate modeling of ash clouds from volcanic eruptions requires knowledge about the eruption source parameters including eruption onset, duration, mass eruption rates, particle size distribution, and vertical-emission ... -
Random sparse generators of Markovian evolution and their spectral properties
(Peer reviewed; Journal article, 2023)The evolution of a complex multi-state system is often interpreted as a continuous-time Markovian process. To model the relaxation dynamics of such systems, we introduce an ensemble of random sparse matrices which can be ... -
ANERIS UVAS Underwater Video Acquisition System
(Bachelor thesis, 2023)This report presents the process of building a low-cost, lightweight underwater observa- tory. This includes an underwater camera, hydrophone, and sensor station connected by cable to a central hub stationed on land which ... -
Technological Utilization in Remote Healthcare: Factors Influencing Healthcare Professionals' Adoption and Use
(Peer reviewed; Journal article, 2024)Background: This study focuses on evaluating the perceptions, competencies, and acceptance of remote healthcare monitoring technology among healthcare professionals in developing countries, specifically India and Bhutan, ... -
Efficient Estimation of Generative Models Using Tukey Depth
(Peer reviewed; Journal article, 2024)Generative models have recently received a lot of attention. However, a challenge with such models is that it is usually not possible to compute the likelihood function, which makes parameter estimation or training of ... -
A dataset for predicting cloud cover over Europe
(Peer reviewed; Journal article, 2024)Clouds are important factors when projecting future climate. Unfortunately, future cloud fractional cover (the portion of the sky covered by clouds) is associated with significant uncertainty, making climate projections ... -
Peer-Mentoring for Students with Disabilities – A Preliminary Study in Norwegian Higher Education
(Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)The number of students with disabilities in higher education is increasing. Despite governmental and institutional support, students with disabilities often have poorer progression and are at a higher risk of dropping out ... -
Effect of Precompression and Material Uncertainty on the In-Plane Behavior of URM Pier–Spandrel Systems
(Peer reviewed; Journal article, 2023)Theoretical and experimental studies on loadbearing masonry walls have shown the significant influence of the axial load level (i.e., precompression) and wall aspect ratio on in-plane lateral resistance. Nonetheless, the ... -
Cyclists as Intelligent Carriers of Space-Time Environmental Information: Crowd-Sourced Sensor Data for Local Air Quality Measurement and Mobility Analysis in the Netherlands
(Peer reviewed; Journal article, 2023)In recent years, slow travel modes (walking, cycling) have gainedmuch interest in the context of urban air quality management.This article presents thefindings from a novel air qualitymeasurement experiment in the Netherlands, ... -
Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface
(Peer reviewed; Journal article, 2024)In this study, we explore the potential of using functional near-infrared spectroscopy (fNIRS) signals in conjunction with modern machine-learning techniques to classify specific anatomical movements to increase the number ... -
Estimating volcanic ash emissions using retrieved satellite ash columns and inverse ash transport modelling using VolcanicAshInversion v1.2.1, within the operational eEMEP volcanic plume forecasting system (version rv4_17)
(Peer reviewed; Journal article, 2024)Accurate modeling of ash clouds from volcanic eruptions requires knowledge about the eruption source parameters including eruption onset, duration, mass eruption rates, particle size distribution, and vertical-emission ... -
Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian
(Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ... -
Formell kompetanse i kunst og håndverk - betydning, prioritering og konsekvenser
(Master thesis, 2015)I denne mastergradsavhandlingen rettes fokuset mot lærerens formelle fagkompetanse i faget Kunst og håndverk i grunnskolen. Statistikk viser at det er svært mange lærere som underviser uten formell fagkompetanse i faget ... -
Recent progress in the application of energy technologies in Large-Scale building Blocks: A State-of-the-Art review
(Peer reviewed; Journal article, 2024)The transition to clean and sustainable energy systems in the building sector is vital to reduce global greenhouse gas emissions. In this regard, shifting the focus from single buildings to clusters of buildings, such as ... -
A graph neural approach for group recommendation system based on pairwise preferences
(Peer reviewed; Journal article, 2024)Pairwise preference information, which involves users expressing their preferences by comparing items, plays a crucial role in decision-making and has recently found application in recommendation systems. In this study, ... -
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System
(Chapter, 2023)The Cancer Registry of Norway (CRN) collects information on cancer patients by receiving cancer messages from different medical entities (e.g., medical labs, hospitals) in Norway. Such messages are validated by an automated ...