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Deep Learning on 3D Feature Descriptors
(Master thesis, 2020)I de siste årene har 3D-figur data blitt lettere å få tak i, delvis grunnet kommersielle sensorer og utbredt bruk av 3D-printere. Det er derfor ønskelig å ta i bruk dyp-læringsmetoder, som har vist seg å være anvendbare ... -
Deep learning with cellular automaton-based reservoir computing
(Journal article; Peer reviewed, 2017)Recurrent neural networks (RNNs) have been a prominent concept within artificial intelligence. They are inspired by biological neural networks (BNNs) and provide an intuitive and abstract representation of how BNNs work. ... -
A deep learning-based approach for identifying unresolved questions on Stack Exchange Q &A communities through graph-based communication modelling
(Journal article; Peer reviewed, 2023)In recent years, online question–answer (Q &A) platforms, such as Stack Exchange (SE), have become increasingly popular for information and knowledge sharing. Despite the vast amount of information available on these ... -
Deep Learning-Based Illumination SPD Estimation from an RGB Camera
(Master thesis, 2022)Lighting is fundamentally crucial for numerous useful applications. The extended reality system is capable of simulating realistic scenes with precise illumination data. However, it is difficult to consistently obtain the ... -
Deep Learning-Based Interactive Edge Detection
(Master thesis, 2023)As a fundamental and longstanding task for detecting visually salient edges from images, edge detection task is still considered as one of the core and challenging works on several computer vision and image processing ... -
Deep Learning-Based Language Identification in English-Hindi-Bengali Code-Mixed Social Media Corpora
(Peer reviewed; Journal article, 2018)This article addresses language identification at the word level in Indian social media corpora taken from Facebook, Twitter and WhatsApp posts that exhibit code-mixing between English-Hindi, English-Bengali, as well as a ... -
Deep Neural Network Architectures for Detection and Segmentation of Solar Farms in Satellite Imagery
(Master thesis, 2023)In response to the urgent global call for renewable energy alternatives, as dictated by the Paris Agreement, there is an increasing need to accurately map and monitor the growth of solar farms around the world. A critical ... -
Deep Procedural Generation of 3D Objects Using Real-World Data
(Master thesis, 2023)Algoritmer for 3D-objektgjenkjenning brukes i diverse felter som virtuell virkelighet, selvkjørende biler og robotikk for å innhente nyttig informasjon i tredimensjonelle systemer som posisjoner, positurer og klasser til ... -
Deep Reinforcement Learning and Generative Adversarial Networks for Abstractive Text Summarization
(Master thesis, 2018)News articles, papers and encyclopedias, among other texts can be time-consuming to digest. Often, you are not interested in reading all the material, but only some of it. Summaries can be useful to get a grasp of what ... -
Deep Reinforcement Learning for Autonomous Vehicles in Simulated Environments
(Master thesis, 2021)Sammen med dyp læring har Reinforcement Learning (forsterkningslæring) hatt flere gjennombrudd de siste årene, noe som har økt forskningsinteressen. Kombinert med økt tilgjengelighet av realistiske og open-source bilsimulatorer ... -
Deep Reinforcement Learning for Gripper Vector Estimation
(Master thesis, 2018)The problem of gripper vector estimation, also referred to as gripper pose estimation, is the problem of constructing a vector describing the pose of the end-effector of a robotic gripper, which enables it to grasp an ... -
Deep Reinforcement Learning for International Diplomacy: Learning to Play Map Variants
(Master thesis, 2023)Brettspillet Diplomacy har fått mye oppmerksomhet de siste årene som en problemstilling for kunstig intelligens. Diplomacy har et enormt kombinatorisk aksjonsrom, en miks av samarbeid og konkurranse, forhandlinger i naturlig ... -
Deep Reinforcement Learning for Spatio-Temporal Wildlife Management
(Master thesis, 2023)De siste 50 årene har globale dyrelivsbestander opplevd betraktelig nedgang som har ført til en biologisk mangfoldskrise hvor et betydelig antall dyrearter har blitt utrydningstruet. Denne oppgaven tester ytelsen til ulike ... -
Deep Reinforcement Learning for Supporting Ambulance Dispatch Decisions
(Master thesis, 2023)Denne master avhandlingen utforsker bruken av forsterkningslæring og \acrfull{ppo} til ambulanseutsendelse-problemet, som et mulig beslutningsstøtteverktøy for Akutt medisin sentralen (AMK) i Oslo og Akershus, Oslo ... -
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)