Browsing Institutt for datateknologi og informatikk by Title
Now showing items 1546-1565 of 6552
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Deep learning for privacy preservation in autonomous moving platforms enhanced 5G heterogeneous networks
(Peer reviewed; Journal article, 2021)5G heterogeneous networks have become a promising platform to connect a growing number of Internet-of-Things (IoT) devices and accommodate a wide variety of vertical services. IoT has not been limited to traditional sensing ... -
Deep learning identify retinal nerve fibre and choroid layers as markers of age-related macular degeneration in the classification of macular spectral-domain optical coherence tomography volumes
(Peer reviewed; Journal article, 2022)Purpose Deep learning models excel in classifying medical image data but give little insight into the areas identified as pathology. Visualization of a deep learning model’s point of interest (POI) may reveal unexpected ... -
Deep learning in Dynamic Imager - A convolutional neural network module
(Master thesis, 2018)This thesis investigates the extent of which deep learning methods can be used for automatic detection of salmon in images. It also investigates the extent of which a module with deep learning functionality can be integrated ... -
Deep Learning in Image Quality Assessment: Past, Present, and What Lies Ahead
(Peer reviewed; Journal article, 2021)Quality assessment of images plays an important role in different applications in image processing and computer vision. While subjective quality assessment of images is the most accurate approach due to issues objective ... -
Deep Learning Methods for Classification of Photometric Images of Materials
(Master thesis, 2022)A key topic in the field of computer vision is image classification, which involves predicting one class for each input image. Additionally, one of its tasks is the categorization of materials from images, which is difficult ... -
Deep learning models for optically characterizing 3D printers
(Peer reviewed; Journal article, 2021)Multi-material 3D printers are able to create material arrangements possessing various optical properties. To reproduce these properties, an optical printer model that accurately predicts optical properties from the printer’s ... -
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 ...