Fakultet for teknologi, kunst og design (TKD): Nye registreringer
Viser treff 21-40 av 2638
-
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 ... -
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models
(Peer reviewed; Journal article, 2023)Introduction: A challenge when applying an artificial intelligence (AI) deep learning (DL) approach to novel electroencephalography (EEG) data, is the DL architecture’s lack of adaptability to changing numbers of EEG ... -
Exchange-only virial relation from the adiabatic connection
(Peer reviewed; Journal article, 2024)The exchange-only virial relation due to Levy and Perdew is revisited. Invoking the adiabatic connection, we introduce the exchange energy in terms of the right-derivative of the universal density functional w.r.t. the ... -
Social Web in IoT: Can Evolutionary Computation and Clustering Improve Ontology Matching for Social Web of Things?
(IEEE Transactions on Computational Social Systems;, Peer reviewed; Journal article, 2023)Many Internet of Things (IoT) applications can benefit from Social Web of Things (S-WoT) methods that enable knowledge discovery and help solving interoperability problems. The semantic modeling of S-WoT is the main emphasis ... -
Sykkeltyveri, hvem tar ansvar - Designprosesser i det offentlige rom
(Master thesis, 2015)Økt hverdagssykling er et nasjonalt mål med både regionale og lokale satsningsområder. Ulike politisk mål oppmuntrer til sykling som et sunt, tilgjengelig og bærekraftig alternativ til andre former for transportbruk; og ... -
Vulnerability Assessment of Existing Buildings and Structures
(OsloMet Avhandling;, Doctoral thesis, 2023)Vulnerability assessment of cultural heritage assets and unreinforced masonry buildings is important for providing a resilient framework and sustainable reconstruction proposals. Owing to the vulnerability of unreinforced ... -
Unsupervised State Representation Learning in Partially Observable Atari Games
(Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)State representation learning aims to capture latent factors of an environment. Although some researchers realize the connections between masked image modeling and contrastive representation learning, the effort is focused ... -
Solving the Lunar Lander Problem with Multiple Uncertainties using a Deep Q-Learning based Short-Term Memory Agent
(Chapter, 2024)Efficient space travel requires intelligent and robust control mechanisms during spacecraft landing scenarios. Developing a control mechanism for a rocket trajectory problem is inherently complex. This paper introduces ... -
Biological Evaluations, NMR Analyses, Molecular Modeling Studies, and Overview of the Synthesis of the Marine Natural Product (−)-Mucosin
(Peer reviewed; Journal article, 2024)Natural products obtained from marine organisms continue to be a rich source of novel structural architecture and of importance in drug discovery, medicine, and health. However, the success of such endeavors depends on the ... -
CELLULAR, A Cell Autophagy Imaging Dataset
(Peer reviewed; Journal article, 2023)Cells in living organisms are dynamic compartments that continuously respond to changes in their environment to maintain physiological homeostasis. While basal autophagy exists in cells to aid in the regular turnover of ... -
Co-Creatives Spaces: The machine as a collaborator
(Chapter, 2023)People have always used new technology to experiment with new forms of music creation. However, the latest devel- opments in artificial intelligence (AI) suggest that machines are on the verge of becoming more than mere ... -
RoBUTCHER: A novel robotic meat factory cell platform
(Journal article; Peer reviewed, 2024)Automation is critically important for sustainability in meat production, where heavy reliance on human labour is a growing challenge. In this work, a novel robotic Meat Factory Cell (MFC) platform presents the opportunity ... -
Cyclists as Intelligent Carriers of Space-Time Environmental Information: Crowd-Sourced Sensor Data for Local Air Quality Measurement and Mobility Analysis in the Netherlands
(Journal article; Peer reviewed, 2023)In recent years, slow travel modes (walking, cycling) have gained much interest in the context of urban air quality management. This article presents the findings from a novel air quality measurement experiment in the ... -
Spatial Competition, Spatial Agglomeration and Survival of Small Businesses in Milan during COVID-19
(Peer reviewed; Journal article, 2023)This study examines the location choice of small firms in Milan across three periods: pre-COVID, early COVID, and late COVID, testing the applicability of traditional spatial economic theories. With the recent COVID-19 ... -
Mask-conditioned latent diffusion for generating gastrointestinal polyp images
(ICDAR: Intelligent Cross-Data Analysis and Retrieval;, Chapter; Peer reviewed; Conference object, 2023)In order to take advantage of artificial intelligence (AI) solutions in endoscopy diagnostics, we must overcome the issue of limited annotations. These limitations are caused by the high privacy concerns in the medical ... -
Situational Disabilities in Information Systems for Situational Awareness in Flood Situations in Nigeria
(IFIP Advances in Information and Communication Technology;, Chapter; Peer reviewed; Conference object; Journal article, 2023)Floods are one of the major natural disasters that contribute to the high disaster death rate in the global south, especially in Nigeria. This requires an effort of collaboration from all stakeholders in designing, building, ...