Blar i Institutt for datateknologi og informatikk på tittel
Viser treff 1566-1585 av 6552
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Deep reinforcement Learning Using Monte-Carlo Tree Search for Hex and Othello
(Master thesis, 2020)Når Deepminds AlphaGo-program slo den menneskelige profesjonelle Go-spilleren Fan Hui i 2015 var dette et stort gjennombrudd for kunstig intelligens til spilling. Go hadde vist seg å motstå de teknikkene som lenge hadde ... -
Deep Representation Learning for Personalised High Granularity Cycling Performance Prediction
(Master thesis, 2021)Abstract will be available on 2024-07-12 -
Deep Representation Learning for Personalised High Granularity Cycling Performance Prediction
(Master thesis, 2021)Abstract will be available on 2024-07-12 -
Deep Reservoir Computing Using Cellular Automata
(Master thesis, 2017)Recurrent Neural Networks (RNNs) is a prominent concept within artificial intelligence. RNNs are inspired by Biological Neural Networks (BNNs) and provide an intuitive representation of how BNNs work. Derived from the more ... -
Deep Smoke Removal from Minimally Invasive Surgery Videos
(Journal article; Peer reviewed, 2018)During video-guided minimally invasive surgery, quality of frames may be degraded severely by cauterization-induced smoke and condensation of vapor. This degradation of quality creates discomfort for the operating surgeon, ... -
Deep transfer learning for failure prediction across failure types
(Journal article; Peer reviewed, 2022) -
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 ...