Blar i Institutt for datateknologi og informatikk på tittel
Viser treff 1585-1604 av 6620
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A deep unsupervised learning framework for the 4D CBCT artifact correction
(Peer reviewed; Journal article, 2022)Objective. Four-dimensional cone-beam computed tomography (4D CBCT) has unique advantages in moving target localization, tracking and therapeutic dose accumulation in adaptive radiotherapy. However, the severe fringe ... -
Deep Visual Domain Adaptation: - From Synthetic Data to the Real World
(Master thesis, 2018)In the field of computer vision, the increasing use of convolutional neural networks (CNN) fuels the need for more and more labeled training data. Synthetic data generated from computer graphics represent an alternative ... -
Deep-STRESS Capsule Video Endoscopy Image Enhancement
(Journal article; Peer reviewed, 2018)This paper proposes a unified framework for capsule video endoscopy image enhancement with an objective to enhance the diagnostic values of these images. The proposed method is based on a hybrid approach of deep learning ... -
DeepChanger
(Master thesis, 2020)Bruken av AI teknologi er i dagens samfunn voksende, og brukes til mange dagligdagse formål. Med denne bruken kommer også bruk av AI for ondsinned bruk, med digitale angrep med hjelp av AI, eller angrep mot AI systemer. ... -
DeepPrivacy: A GAN-based framework for image anonymization
(Master thesis, 2019)Samle data fra selvkjørende biler uten å anonymisere personlig informasjon er ulovlig etter introduksjonen av Personvernforordningen (GDPR) i 2018. For å samle data for å trene og validere maskinlæringsmodeller, må vi ... -
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
(Chapter, 2019)We propose a novel architecture which is able to automatically anonymize faces in images while retaining the original data distribution. We ensure total anonymization of all faces in an image by generating images exclusively ... -
Deepview: Deep Learning based Users Field of View Selection in 360° Videos for Industrial Environments
(Peer reviewed; Journal article, 2021)The industrial demands of immersive videos for virtual reality/augmented reality applications are crescendo, where the video stream provides a choice to the user viewing object of interest with the illusion of “being there”. ... -
Defining Back Stage Activities in Large-Scale Participatory Design - A Case Study of Implementing a Healthcare Platform
(Master thesis, 2020)Forskningen utført i denne oppgaven studerer forholdet mellom storeskala prosjekter og bruken av deltakende design, og hvilken rolle 'back stage'-aktiviteter har i dette forholdet. Feltet Deltakende Design (DD) må følge ... -
Defining programming teaching plans: implications for system design
(Master thesis, 2021)Programmering i skolene blir stadig viktigere. Skoler i Norge har i de siste årene begynt å inkludere programmering i ulike fag ettersom at det ble en del av læreplanen. Flere lærere er pålagt å lære seg samt undervise ... -
Defining Roles in Transaction Networks Using Deep Learning
(Master thesis, 2018)Recent years have seen an immense increase in the amount of data our generated by humans. This data takes many different shapes and forms, and one of the types we find most often is in the form of network data. In order ... -
Defining Tags by Linking to Knowledge Bases
(Master thesis, 2014)This thesis looks into the process of automatically expanding image searches based on tags and the definitions of terms from public knowledge bases. To this end, we will try to extract terms related to a query. The process ... -
Defining the initial case-base for a CBR operator support system in digital finishing - A methodological knowledge acquisition approach
(Journal article; Peer reviewed, 2016)Case-based reasoning (CBR) literature defines the process of defining a case-base as a hard and time-demanding task though the same literature does not report in detail on how to build your initial case base. The main ... -
Deidentification of Electronic Patient Records: A Lexicon-based Approximation
(Master thesis, 2008)In 2004, a lexicon-based deidentification tool was developed at The Norwegian EHR Research Centre (NSEP). The tool was never properly tested due to lack of proper and available data material. In 2007, an annotated data set ... -
Delay and Bypass: Ready and Criticality Aware Instruction Scheduling in Out-of-Order Processors
(Peer reviewed; Journal article, 2020)Flexible instruction scheduling is essential for performance in out-of-order processors. This is typically achieved by using CAM-based Instruction Queues (IQs) that provide complete flexibility in choosing ready instructions ... -
Delay-on-Squash: Stopping Microarchitectural Replay Attacks in Their Tracks
(Peer reviewed; Journal article, 2022)MicroScope and other similar microarchitectural replay attacks take advantage of the characteristics of speculative execution to trap the execution of the victim application in a loop, enabling the attacker to amplify a ... -
Delayed runahead exit policies
(Master thesis, 2024)Spriket mellom klokkehastigheten til prosessorer og hovedminne utgjør en stor flaskehals i prosessorytelse for minneintensive programmer. Denne ytelsesbegrensningen skyldes langtidsinnlastere, innlastingsinstrukser som ... -
Delegated Replies: Alleviating Network Clogging in Heterogeneous Architectures
(Peer reviewed; Journal article, 2022)Heterogeneous architectures with latency-sensitive CPU cores and bandwidth-intensive accelerators are attractive as they deliver high performance at favorable cost. These architectures typically have significantly more ... -
Delegating Agency in the Public Sector: A Case Study on Current Human-Technology Practices and Visions for AI
(Peer reviewed; Journal article, 2023)Human-technology collaboration is currently receiving a surge of attention in Information Systems (IS) due to attempts to introduce Artificial Intelligence (AI) in private and public organizations. In Scandinavia, governments ... -
DELICIOUS: Deadline-Aware Approximate Computing in Cache-Conscious Multicore
(Peer reviewed; Journal article, 2023)Enhancing result-accuracy in approximate computing (AC) based real-time systems, without violating power constraints of the underlying hardware, is a challenging problem. Execution of such AC real-time applications can be ... -
Deliverable D1.5: Source Code and Interface of LKDB Software
(Research report, 2016-12-20)