Browsing Institutt for datateknologi og informatikk by Title
Now showing items 5012-5031 of 6559
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A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images
(Peer reviewed; Journal article, 2020)In computer vision, traditional machine learning (TML) and deep learning (DL) methods have significantly contributed to the advancements of medical image analysis (MIA) by enhancing prediction accuracy, leading to appropriate ... -
Reviewing Clinical Guideline Development Tools: Features and Characteristics
(Journal article; Peer reviewed, 2017)Background To improve consistency and streamline development and publication of clinical guidelines (GL), there is a need for appropriate software support. We have found few specific tools for the actual authoring and ... -
Reviewing the affordances of tangible programming languages: Implications for design and practice
(Journal article; Peer reviewed, 2017)During the last few years, the development of tools for learning programming in primary and secondary schools (shortly K-12) has reached a significant turning point. This study reviews the published papers on the field of ... -
Reviewsers
(Bachelor thesis, 2018)Prosjektet går ut på å lage et forbrukerdrevet sosialt nettverk, hvor brukere kan lese og skrive anmeldelser for konsumentprodukter. Under arbeidet utarbeidet vi en ny måte å strukturere anmeldelser på, kalt ”Progressive ... -
Revisit security in the era of DevOps: An evidence-based inquiry into DevSecOps industry
(Peer reviewed; Journal article, 2023)By adopting agile and lean practices, DevOps aims to achieve rapid value delivery by speeding up development and deployment cycles, which however lead to more security concerns that cannot be fully addressed by an isolated ... -
Reviving Traditional Image Quality Metrics Using CNNs
(Journal article; Peer reviewed, 2018)Objective Image Quality Metrics (IQMs) are introduced with the goal of modeling the perceptual quality scores given by observers to an image. In this study we use a pre-trained Convolutional Neural Network (CNN) model to ... -
Revolve Analyzer: Development of racing data analysis software
(Master thesis, 2012)Contains prestudy within racing data analysis, detailed architecture of software for analysis and implementation details. -
RF Emitter geolocation using PDOA algorithms and UAVs - A strategy from emitter detection to location prediction
(Master thesis, 2015)In this thesis, I explored strategies for locating an RF emitter. Expanding on an idea conceived at Norwegian Defence Research Establishment (FFI), of using small, cheap RSS sensors and Unmanned Aerial Vehicles (UAVs) to ... -
RFID-basert autentisering på World Wide Web
(Master thesis, 2005)Oppgaven beskriver et system for autentisering på internett ved hjelp av RFID-teknologi. Hensikten er å forenkle autentiseringsprosesser og øke brukervennligheten på internett. RFID-teknologien blir gjennomgått ved å se ... -
RGB-NIR image enhancement by fusing bilateral and weighted least squares filters
(Journal article; Peer reviewed, 2017)Image enhancement using visible (RGB) and near-infrared (NIR) image data has been shown to enhance useful details of the image. While the enhanced images are commonly evaluated by observers’ perception, in the present work, ... -
Riemannian formulation and comparison of color difference formulas
(Journal article; Peer reviewed, 2012)Study of various color difference formulas by the Riemannian approach is useful. By this approach, it is possible to evaluate the performance of various color difference formulas having different color spaces for measuring ... -
Risk based regulation and certification of autonomous transport systems
(Chapter, 2018)Autonomous transport systems in all modes—road (i.e. autonomous cars), aviation (i.e. drones), shipping and rail are coming. Regulation and testing are on-going in Norway. Risks of autonomous systems are uncertain due to ... -
Risk Exposure and Management in Software Development – A Survey of Multiple Software Startups
(Peer reviewed; Journal article, 2021)Context: Software startups perform many high-risk activities regarding both business and product development. Being aware of important risks and effectively managing them is important for startups, particularly in an era ... -
Risk Perceptions when participating in public debates on digital platforms
(Master thesis, 2021)Sosiale medier er en kilde som sprer mange forskjellige følelser og elementer som kan føre til positive eller negative påvirkninger på samfunnet. En studie av elementer som falske nyheter og feilinformasjon utmerker seg ... -
RNA motif discovery: a computational overview
(Journal article; Peer reviewed, 2015)Genomic studies have greatly expanded our knowledge of structural non-coding RNAs (ncRNAs). These RNAs fold into characteristic secondary structures and perform specific-structure dependent biological functions. Hence RNA ... -
Robust 3D Face Reconstruction Using One/Two Facial Images
(Peer reviewed; Journal article, 2021)Being able to robustly reconstruct 3D faces from 2D images is a topic of pivotal importance for a variety of computer vision branches, such as face analysis and face recognition, whose applications are steadily growing. ... -
A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses
(Chapter, 2023)Accurate day-ahead nominations of grid losses in electrical distribution networks are important to reduce the societal cost of these losses. We present a modification of the CatBoost ensemble-based system for day-ahead ... -
Robust Anomaly Detection Using Reflectance Transformation Imaging for Surface Quality Inspection
(Chapter, 2017)We propose a novel methodology for the detection and analysis of visual anomalies on challenging surfaces (metallic). The method is based on a local assessment of the reflectance across the inspected surface, using Reflectance ... -
A Robust Tensor-Based Submodule Clustering for Imaging Data Using l1/2 Regularization and Simultaneous Noise Recovery via Sparse and Low Rank Decomposition Approach
(Peer reviewed; Journal article, 2021)The massive generation of data, which includes images and videos, has made data management, analysis, information extraction difficult in recent years. To gather relevant information, this large amount of data needs to be ... -
Robusthetvurdering av ferdige webapplikasjoner
(Master thesis, 2006)Dagens krav til robuste nettsystemer er økende og dette medfører at robusthet har blitt svært viktig for systemutviklere i dagens samfunn. Dagens konkurranse tilsier at kundemassen skifter raskt over til konkurrenter om ...