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BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images
(Journal article; Peer reviewed, 2023)The early detection of breast cancer using mammogram images is critical for lowering women’s mortality rates and allowing for proper treatment. Deep learning techniques are commonly used for feature extraction and have ... -
Pushe eller puse - perspektiver på dramarommets paradoks
(Journal article; Peer reviewed, 2023)I denne artikkelen presenteres funn fra en studie på programfag drama i norsk videregående skole. Dramalærere samt tidligere og nåværende dramaelever fra tre skoler ble intervjuet om hvordan de så på forholdet mellom ... -
An action plan for the agri-food sector at the time of the climate and biodiversity crises
(Journal article; Peer reviewed, 2023) -
Korleis fungerer henvisning til pakkeforløp for brystkreft?
(Journal article; Peer reviewed, 2023) -
Hasj er ikke greit
(Journal article; Peer reviewed, 2023) -
The Role and Persepective of Electrodialysis in Electrowinning of Silver from Secondary Materials
(Master thesis, 2023)Effektiv resirkulering av sølv er essensielt dersom man skal klare å dekke den stadig økende etterspørselen av sølv i alt fra medisinsk utstyr, til elektriske biler og solceller. Denne masteroppgaven fokuserer derfor på ... -
Excited State Absorption of Uracil in the Gas Phase: Mapping the Main Decay Paths by Different Electronic Structure Methods
(Peer reviewed; Journal article, 2021)We present a computational study of the one-photon and excited-state absorption (ESA) from the two lowest energy excited states of uracil in the gas phase: an nπ* dark state (1n) and the lowest energy bright ππ* state (1π). ... -
Describing ground and excited state potential energy surfaces for molecular photoswitches using coupled cluster models
(Peer reviewed; Journal article, 2021)n this article, we use two extensively studied systems, a retinal model system and azobenzene, to explore the use of coupled cluster models for describing ground and singlet excited state potential energy surfaces of ... -
Å drikke seg til studentkompetanse. Fadderuka som ritual, forberedelse og fellesskap
(Peer reviewed; Journal article, 2023)Fadderuka samler hver høst tusenvis av nye studenter i landets studiebyer, til tross for at perioden kritiseres av medier og lokalsamfunn. I denne artikkelen utforsker vi fadderukas bidrag til fellesskap og utenforskap for ... -
Synthetic Strategies towards Imidazopyridinones and 7-Azaoxindoles and their Evaluation as Antibacterial Agents
(Peer reviewed; Journal article, 2021)Imidazopyridinones and 7-azaoxindoles are two classes of heterocyclic compounds with only limited previous use in organic and medicinal chemistry. Various synthetic methods and routes have been evaluated to identify safe ... -
A first-principles insight into thermodynamic and mechanical properties of Xonotlite and Wollastonite phases of high temperature geothermal well cement
(Peer reviewed; Journal article, 2023)This study investigates the thermodynamic and mechanical properties of two common calcium silicate phases, xonotlite (Ca6Si6O17(OH)2) and wollastonite (CaSiO3), in high temperature geothermal well cement using first-principles ... -
Boolean algebras, Morita invariance and the algebraic K-theory of Lawvere theories
(Peer reviewed; Journal article, 2023)The algebraic K-theory of Lawvere theories is a conceptual device to elucidate the stable homology of the symmetry groups of algebraic structures such as the permutation groups and the automorphism groups of free groups. ... -
Camera Link transmitter for high bandwidth ADC data readout
(Master thesis, 2023)IDEAS (Integrated Detector Electronics A/S) er et Oslo-basert FoU-selskap som spesialiserer seg på designe tilpassede integrerte detektor- og sensoravlesningskretser (applikasjonsspesifikk integrert kretser, ASIC) for bruk ... -
Design of in situ Atomic Layer Deposition Systems and Exploring Applications based on Characteristic Nucleation and Growth Behaviour
(Doctoral theses at NTNU;2023:371, Doctoral thesis, 2023) -
NUBA: Non-Uniform Bandwidth GPUs
(Chapter, 2023)The parallel execution model of GPUs enables scaling to hundreds of thousands of threads, which is a key capability that many modern high-performance applications exploit. GPU vendors are hence increasing the compute and ... -
Modular Collision Avoidance Using Predictive Safety Filters
(Chapter, 2023)The number of maritime projects is increasing yearly, including offshore applications, underwater robotics for ocean condition monitoring, and autonomous ship transport. Many of these activities are safety-critical, making ... -
Weinberg’s 3HDM potential with spontaneous CP violation
(Peer reviewed; Journal article, 2023)We study the potential of Weinberg’s Z2 × Z2-symmetric three-Higgs-doublet model. The potential is designed to accommodate CP violation in the scalar sector within a gauge theory, while at the same time allowing for natural ... -
Therapeutic Effectiveness of Interferon-α2b against COVID-19 with Community-Acquired Pneumonia: The Ukrainian Experience
(Peer reviewed; Journal article, 2023)Despite several targeted antiviral drugs against SARS-CoV-2 currently being available, the application of type I interferons (IFNs) still deserves attention as an alternative antiviral strategy. This study aimed to assess ... -
Ivaretagelse av ville pollinatorer og planter tilknyttet kulturlandskapet i byutviklingen. Oppsummering av forskningsprosjektet BE(E) DIVERSE
(NIBIO Rapport, Research report, 2023)Det er en global nedgang av ville pollinatorer, og hovedårsaken til dette er at leveområdene deres er under press og går tapt på grunn av urbanisering og andre arealendringer. I BE(E) DIVERSE prosjektet har vi derfor studert ... -
Risk-based Convolutional Perception Models for Collision Avoidance in Autonomous Marine Surface Vessels using Deep Reinforcement Learning
(Chapter, 2023)In this work, we propose a novel policy network architecture for model-free Reinforcement Learning (RL)-based path-following and collision avoidance in marine surface vessels. By applying convolutional neural networks ...