Blar i Fakultet for teknologi, kunst og design (TKD) på tittel
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A Deep Learning Approach To Dead-Reckoning Navigation For Autonomous Underwater Vehicles With Limited Sensor Payloads
(OCEANS;OCEANS 2021: San Diego – Porto, Conference object, 2022)This paper presents a deep learning approach to aid dead-reckoning (DR) navigation using a limited sensor suite. A Recurrent Neural Network (RNN) was developed to predict the relative horizontal velocities of an Autonomous ... -
A Deep Learning Approach to Dynamic Passive RTT
(2019 IEEE 38th International Performance Computing and Communications Conference (IPCCC);, Conference object, 2019)The Round-Trip Time (RTT) is a property of the path between a sender and a receiver communicating with Transmission Control Protocol (TCP) over an IP network and over the public Internet. The end-to-end RTT value influences ... -
A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP
(IEEE International Conference Performance, Computing and Communications (IPCCC);, Conference object, 2020-01-16)The Round-Trip Time (RTT) is a property of the path between a sender and a receiver communicating with Transmission Control Protocol (TCP) over an IP network and over the public Internet. The end-to-end RTT value influences ... -
Deep learning for automated polyp detection and localization in colonoscopy
(Master thesis, 2022)Gastrointestinal (GI) tract comprises organs from mouth to anus. Multiple diseases can occur in the GI tract. Among the different diseases in the digestive system, the most commonly found cancer in the gastrointestinal ... -
Deep Learning for Classifying Physical Activities from Accelerometer Data
(Sensors;Volume 21 / Issue 16, Peer reviewed; Journal article, 2021-08-18)Physical inactivity increases the risk of many adverse health conditions, including the world’s major non-communicable diseases, such as coronary heart disease, type 2 diabetes, and breast and colon cancers, shortening ... -
Deep learning for crop instance segmentation
(ACIT;2022, Master thesis, 2022)This thesis explores object detection with instance segmentation in relation to agriculture. For the purpose of discovering a detection model that could potentially boost robotic greenhouse harvesters with newer and ... -
Deep learning with cellular automaton-based reservoir computing
(Complex Systems;Volume 26, Issue 4, Journal article; Peer reviewed, 2017)Recurrent neural networks (RNNs) have been a prominent concept wiithin artificial intelligence. They are inspired by biological neural net works (BNNs) and provide an intuitive and abstract representation of how BNNs work. ... -
Deep Learning with EEG Data
(Master thesis, 2023)Electroencephalogram (EEG) data has shown great promise but requires sophisticated methods due to the complex spatial and temporal patterns found in such data, so this research was conducted with the objective to investigate ... -
A deep learning-based tool for automatic brain extraction from functional magnetic resonance images of rodents
(Peer reviewed; Journal article, 2021)Removing skull artifacts from functional magnetic images (fMRI) is a well understood and frequently encountered problem. Because the fMRI field has grown mostly due to human studies, many new tools were developed to handle ... -
Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources
(Sensors;Volume 22 / Issue 7, Peer reviewed; Journal article, 2022-04-06)Many data related problems involve handling multiple data streams of different types at the same time. These problems are both complex and challenging, and researchers often end up using only one modality or combining them ... -
DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine
(Scientific Reports;11, Article number: 21896 (2021), Peer reviewed; Journal article, 2021-11-09)Recent global developments underscore the prominent role big data have in modern medical science. But privacy issues constitute a prevalent problem for collecting and sharing data between researchers. However, synthetic ... -
DeepNAVI: A deep learning based smartphone navigation assistant for people with visual impairments
(Expert Systems With Applications;, Peer reviewed; Journal article, 2022)Navigation assistance is an active research area, where one aim is to foster independent living for people with vision impairments. Despite the fact that many navigation assistants use advanced technologies and methods, ... -
DeepSynthBody: the beginning of the end for data deficiency in medicine
(OsloMet Avhandling 2021;Nr. 45, Doctoral thesis; Peer reviewed, 2021)Recent advancements in technology have made arti ficial intelligence (AI) a popular tool in the medical domain, especially machine learning (ML) methods, which is a subset of AI. In this context, a goal is to research and ... -
Deformation of C*-algebras by cocycles on locally compact quantum groups
(Peer reviewed; Journal article, 2014-01-15)Given a C ∗ -algebra A with a left action of a locally compact quantum group G on it and a unitary 2-cocycle Ω on ˆ G ,we define a deformation A Ω of A . The construction behaves well under certain ... -
Deformations of modules of maximal grade and the Hilbert scheme at determinantal schemes
(Journal of Algebra;407, Journal article; Peer reviewed, 2014-04-04)Let R be a polynomial ring and M a finitely generated graded R-module of maximal grade (which means that the ideal I_t(\cA) generated by the maximal minors of a homogeneous presentation matrix, \cA, of M has maximal ... -
Dekket, men ikke tildekket : kistedekor i et samtidig perspektiv
(Master thesis, 2013)Masteroppgaven Dekket, men ikke tildekket – kistedekor i et samtidig perspektiv tar for seg blomsterdekor av kiste i forbindelse med begravelsesseremoni. Masteroppgaven ser på kistedekoren i sammenheng med samtidige ... -
Deletion of Endonuclease V suppresses chemically induced hepatocellular carcinoma
(Nucleic Acids Research;Volume 48, Issue 8, Journal article; Peer reviewed, 2020-02-21)Endonuclease V (EndoV) is a conserved inosinespecific ribonuclease with unknown biological function. Here, we present the first mouse model lacking EndoV, which is viable without visible abnormalities. We show that ... -
Demand-controlled ventilation in schools: Influence of base ventilation rates on subjective symptoms, perceived indoor environment and young adults' learning performance
(SINTEF Proceedings;9, Conference object, 2021)The ventilation airflow rates in a demand-controlled ventilation strategy typically vary between a base (Vmin) and a maximum ventilation rate (Vmax). Classrooms have relatively short but intense hours of occupancy and a ... -
Demand-controlled ventilation: do different user groupsrequire different CO2-setpoints?
(IOP Conference Series: Materials Science and Engineering;Volume 609, Journal article; Peer reviewed, 2019)The aim of this study is to investigate whether children's bioeffluent generation rate is proportional to their carbon dioxide (CO2) generation rate. Consequently, to assess if there is a need to differentiate the CO2- ... -
Demensens estetikk: Kroppsminne og forforståelse i anvendt teater
(Master thesis, 2015)Denne mastergradsavhandlingen omhandler hvordan man jobber med anvendt teater når man har demens som tema, og hvilke metoder som brukes i feltet. Den teoretiske undersøkelsen vil fokusere på anvendt teaterteori med hovedvekt ...