Institutt for datateknologi og informatikk
Nye registreringer
-
An Empirical Study on Applying Parameter-Efficient Fine-Tuning of Large Language Models for Secure Code Generation
(Master thesis, 2025)I de senere år har Large Language Models (LLMs) vist bemerkelsesverdige evner innen ulike domener, inkludert kodegenerering. Imidlertid har empiriske studier vist at kode generert av LLM-er kan inneholde betydelige ... -
Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review
(Peer reviewed; Journal article, 2024)The recent advancements made in the realms of Artificial Intelligence (AI) and Artificial Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to enhance and optimize the environmental ... -
Sodium Resistance of Ceramic and Glass Materials - Na Thermo-gravimetric Analysis and Liquid Na Exposure Test
(Journal article, 2025)Renewable intermittent energy sources like solar and wind power are important for decarbonizing the energy sector and energy storage will become necessary for balancing production and demand and can also be important for ... -
Self-distillation improves self-supervised learning for DNA sequence inference
(Peer reviewed; Journal article, 2025) -
Understanding Human-Centred AI: a review of its defining elements and a research agenda
(Peer reviewed; Journal article, 2025)The rapid advancements in artificial intelligence (AI) have ushered in a new era of innovative applications, while also prompting concerns regarding risks and adverse consequences. In light of the growing interest in ... -
Raw Spectral Filter Array Imaging for Scene Recognition
(Journal article; Peer reviewed, 2024)Scene recognition is the task of identifying the environment shown in an image. Spectral filter array cameras allow for fast capture of multispectral images. Scene recognition in multispectral images is usually performed ... -
A sparse and wide neural network model for DNA sequences
(Journal article; Peer reviewed, 2025)Accurate modeling of DNA sequences requires capturing distant semantic relationships between the nucleotide acid bases. Most existing deep neural network models face two challenges: (1) they are limited to short DNA fragments ... -
Simulating Print/Scan Textures for Morphing Attack Detection
(Chapter, 2023)Morphing Attack Detection is a relevant topic aiming to detect attempts of unauthorised individuals who want access to a “valid” identity. One of the main scenarios is printing morphed images and submitting the respective ... -
Comprehensive Evaluation of ImageNet-Trained CNNs for Texture-Based Rock Classification
(Journal article; Peer reviewed, 2024)Texture perception plays a vital role in various fields, from computer vision to geology, influencing object recognition, image segmentation, and rock classification. Despite advances in convolutional neural networks (CNNs), ... -
A Comparative Study of Cross-Device Finger Vein Recognition Using Classical and Deep Learning Approaches
(Journal article; Peer reviewed, 2024)Finger vein recognition is gaining popularity in the field of biometrics, yet the inter-operability of finger vein patterns has received limited attention. This study aims to fill this gap by introducing a cross-device ... -
Systematic literature review on solutions to the negative environmental impacts of ICT
(Journal article; Peer reviewed, 2024)In the realm of Information and Communication Technologies (ICT) and environmental sustainability research, the prevailing emphasis often leans towards ICT’s role in promoting sustainable development, while the adverse ... -
Defining Security Debt: A Case Study Based On Practice
(Chapter, 2024) -
Review of Image Quality Assessment Methods for Compressed Images
(Journal article; Peer reviewed, 2024)The compression of images for efficient storage and transmission is crucial in handling large data volumes. Lossy image compression reduces storage needs but introduces perceptible distortions affected by content, compression ... -
Exploring datasets for aiding the creation of digital twins
(Master thesis, 2024)Konstruksjon av digitale tvillinger for bruk i simuleringsverktøy har lenge vært en langsom og manuell prosess. Denne masteroppgaven forsøker å automatis- ere deler av utviklinksprosessen av digitale tvillinger ved å ... -
Tools for Discovery - An Exploration of Tools for the Discovery of New Theorems in the Domain of Fair Allocation of Indivisible Items
(Master thesis, 2024)Vi studerer rettferdig fordeling av udelelige gjenstander, der et sett goder skal fordeles rettferdig til et sett agenter. Vi tar spesielt hensyn til tilfellet der vi har konfliktrestriksjoner, hvor noen gjenstander ikke ... -
Validation of two novel human activity recognition models for typically developing children and children with Cerebral Palsy
(Peer reviewed; Journal article, 2024)Human Activity Recognition models have potential to contribute to valuable and detailed knowledge of habitual physical activity for typically developing children and children with Cerebral Palsy. The main objective of the ... -
Decision Support for Managing Common Musculoskeletal Pain Disorders: Development of a Case-Based Reasoning Application
(Peer reviewed; Journal article, 2024)Background: Common interventions for musculoskeletal pain disorders either lack evidence to support their use or have small to modest or short-term effects. Given the heterogeneity of patients with musculoskeletal pain ... -
Continuous monitoring of left ventricular function in postoperative intensive care patients using artificial intelligence and transesophageal echocardiography
(Peer reviewed; Journal article, 2024)Background Continuous monitoring of mitral annular plane systolic excursion (MAPSE) using transesophageal echocardiography (TEE) may improve the evaluation of left ventricular (LV) function in postoperative intensive care ... -
A method for synchronized use of EEG and eye tracking in fully immersive VR
(Peer reviewed; Journal article, 2024)This study explores the synchronization of multimodal physiological data streams, in particular, the integration of electroencephalography (EEG) with a virtual reality (VR) headset featuring eye-tracking capabilities. A ... -
SnowPole Detection: A comprehensive dataset for detection and localization using LiDAR imaging in Nordic winter conditions
(Journal article; Peer reviewed, 2025)The SnowPole Detection dataset is a comprehensive collection of labeled LiDAR images, specifically designed for snow pole detection in road environments. This dataset was collected using a high-resolution OS2-128 LiDAR ...
RSS 2.0