Blar i Institutt for datateknologi og informatikk på tittel
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Flood prediction using machine learning models: Literature review
(Journal article; Peer reviewed, 2018)Floods are among the most destructive natural disasters, which are highly complex to model. The research on the advancement of flood prediction models contributed to risk reduction, policy suggestion, minimization of the ... -
Flooded - A Location-Based Game for Promoting Citizens' Flood Preparedness
(Master thesis, 2013)The occurrence of floods have increased in recent years. Despite of this, studies have shown a low level of flood preparedness among citizens. The public's lack of awareness of the consequences of floods is something that ... -
Fluorescence Transformation Imaging
(Chapter, 2021)Fluorescence is a photoluminescence phenomenon where light is absorbed at lower wavelengths and re-emitted at longer wavelengths. For classic artworks, fluorescence gives useful information about varnish and retouches. At ... -
Focus Measurement in Color Space for Shape from Focus Systems
(Peer reviewed; Journal article, 2021)Shape from Focus (SFF) has been studied extensively in computer vision for 3D shape and depth recovery. The first stage in SFF methods is to compute the focus value of every pixel by converting the colored images into gray ... -
A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation
(Journal article; Peer reviewed, 2022) -
Fool Me Once, Shame on Me - A Qualitative Interview Study of Social Engineering Victims
(Journal article; Peer reviewed, 2023)Security breaches still continue to flourish despite of the many technical measures in place. More often than not, the human users get the blame. Social engineering attacks use various manipulation techniques to fool users ... -
Foraging, Genetic Network Programming and its Hybridization with NEAT: Evolving Evolutionary Swarm Robotics
(Master thesis, 2021)Svermrobotikk blir mer og mer relevant for moderne samfunn ettersom teknologien legger til rette for å løse mange problemer både billigere og mer effektivt enn andre alternativer. Sanking er et spesielt interessant domene ... -
Foraging, Genetic Network Programming and its Hybridization with NEAT: Evolving Evolutionary Swarm Robotics
(Master thesis, 2021)Svermrobotikk blir mer og mer relevant for moderne samfunn ettersom teknologien legger til rette for å løse mange problemer både billigere og mer effektivt enn andre alternativer. Sanking er et spesielt interessant domene ... -
Forankring av strategisk målbilde gjennom omorganisering
(Bachelor thesis, 2021)I dagens samfunn har digitale transformasjoner kommet høyt opp på agendaen. Endringer har blitt den nye normalen og det strategiske målbildet til organisasjoner har derfor blitt et større fokus. Denne studien handler om ... -
Forbedring av akseptansetesting: en SPI tilnærming
(Master thesis, 2008)IT-bransjen opplever mange feil i programvare, og mye ressurser i form av tid og penger benyttes for å teste programvare. Mange testverktøy har blitt utviklet for å hjelpe utviklerne med å administrere og utføre tester, ... -
Force-Directed Graph Drawing for Representation of Reasoning
(Master thesis, 2023)Samarbeidende bayesiansk resonnement er en prosess der to eller flere mennesker prøver å svare på et forskningsspørsmål ved å dele deres tro på de ulike årsakene som har betydning for spørsmålet. For å tilrettelegge for ... -
Forecasting Ambulance Demand in Oslo and Akershus
(Master thesis, 2022)Evnen til å forutsi ambulanseetterspørsel er et kritisk verktøy innen akuttmedisin for å kunne fordele ressursene så effektivt som mulig. I denne oppgaven benytter vi et datasett gitt av Oslo Universitetssykehus for å ... -
Forecasting Ambulance Demand in Oslo and Akershus
(Master thesis, 2022)Evnen til å forutsi ambulanseetterspørsel er et kritisk verktøy innen akuttmedisin for å kunne fordele ressursene så effektivt som mulig. I denne oppgaven benytter vi et datasett gitt av Oslo Universitetssykehus for å ... -
Forecasting Cafeteria Visitors With Machine Learning
(Master thesis, 2019)Nøyaktig forutsigelse av etterspørsel er nødvendig for å lagre og forberede matvarer med lite svinn og stor sikkerhet om at etterspørselen møtes. Å forutse fremtidige gjester kan hjelpe restauranteiere med å ta handling ... -
Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels
(Peer reviewed; Journal article, 2021)After the invention of Bitcoin as well as other blockchain-based peer-to-peer payment systems, the cryptocurrency market has rapidly gained popularity. Consequently, the volatility of the various cryptocurrency prices ... -
Forecasting Ether price with deep learning and classical time-series methods
(Bachelor thesis, 2021)I løpet av de siste to tiårene har vi observer rask vekts innen teknologi og digital økonomi, noe som gir opphav til kryptovalutaer som Ether. Det finnes noen forskjeller mellom disse instrumentene og fiat-penger, men det ... -
Forecasting Hourly Ambulance Demand for Oslo, Norway: A Neuro-Symbolic Method
(Journal article; Peer reviewed, 2023)Forecasting ambulance demand is critical for emergency medical services to allocate their resources as efficiently as possible. This work uses data from Norway's Oslo University Hospital (OUH) to forecast hourly ambulance ... -
Forecasting Intra-Hour Imbalances in Electric Power Systems
(Journal article; Peer reviewed, 2019)Keeping the electricity production in balance with the actual demand is becoming a difficult and expensive task in spite of an involvement of experienced human operators. This is due to the increasing complexity of the ... -
Forensic analysis of an unknown embedded device
(Master thesis, 2006)Every year thousands of new digital consumer device models come on the market. These devices include video cameras, photo cameras, computers, mobile phones and a multitude of different combinations. Most of these devices ... -
Forensic analysis of beverage stains using hyperspectral imaging
(Peer reviewed; Journal article, 2021)Documentation and analysis of crime scene evidences are of great importance in any forensic investigation. In this paper, we present the potential of hyperspectral imaging (HSI) to detect and analyze the beverage stains ...