Blar i Department of Electrical and Computer Engineering (TN-IDE) på tittel
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Timeline-representation: Et verktøy for visualisering av tidslinjer i Python
(Bachelor thesis, 2021)Gruppen fikk tildelt en oppgave hvor formålet var ˚a utvikle et program som kunne visualisere medisinsk data ved hjelp av tidslinjer. Programmet skulle lages i Python, men gruppen sto fritt til ˚a velge hvilke moduler som ... -
Timeline-representation: Et verktøy for visualisering av tidslinjer i Python
(Bachelor thesis, 2021)Gruppen fikk tildelt en oppgave hvor formålet var å utvikle et program som kunne visualisere medisinsk data ved hjelp av tidslinjer. Programmet skulle lages i Python, men gruppen sto fritt til å velge hvilke moduler som ... -
Tingenes internett for datamaskin
(Bachelor thesis, 2023)Denne rapporten beskriver utviklingen av et system som involverer to IoT-enheter. Disse enhetene er panel-computere produsert av Hatteland Technology. I dette prosjektet er det laget et program som samler inn data, både ... -
Towards a Taylor-Carleman bilinearization approach for the design of nonlinear state-feedback controllers
(Peer reviewed; Journal article, 2022)The Carleman bilinearization is an approach that performs an exact conversion of a finite-dimensional nonlinear system into an infinite-dimensional bilinear system. A finite-dimensional system is later obtained through a ... -
Towards Modeling Road Tunnels: A Petri Nets based Approach
(Peer reviewed; Journal article, 2022)This paper aims to develop a mathematical model using Petri nets to simulate the traffic flow inside the road tunnel. First, a new modular Petri net theory is used; the modeling approach shown in this paper for modeling a ... -
Towards modeling the economies of personal relationships in dyadic business exchanges
(Journal article; Peer reviewed, 2007)This paper proposes modeling the economies of personal relationship so that its impact on the collective economic outcome in dyadic business exchanges can be measured. Firstly, this paper introduces personal relationship ... -
Towards More Natural Explanations of User Preferences
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-07-15)Explainable recommendations refer to algorithms or methods that enable recommender systems to provide recommendations to the users, as well as to explain the reason why the items or products are being recommended. Recently, ... -
Towards Posture and Gait Evaluation through Wearable-Based Biofeedback Technologies
(Peer reviewed; Journal article, 2023)In medicine and sport science, postural evaluation is an essential part of gait and posture correction. There are various instruments for quantifying the postural system’s efficiency and determining postural stability which ... -
Towards robust autonomous driving systems through adversarial test set generation
(Peer reviewed; Journal article, 2022)Correct environmental perception of objects on the road is vital for the safety of autonomous driving. Making appropriate decisions by the autonomous driving algorithm could be hindered by data perturbations and more ... -
Towards using Thermal Cameras in Birth Detection
(Chapter, 2022)In recent years, thermal imaging has been used in numerous applications due to its ability to capture and visualize the thermal radiation emitted by objects. Thermal cameras can be employed as non-invasive systems for ... -
Training convolutional neural networks in virtual reality for grasp detection from 3D images
(Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)The focus of this project has been on training convolutional neural networks for grasp detection with synthetic data. Convolutional neural networks have had great success on a wide variety of computer vision tasks, but ... -
Training-while-drilling approach to inclination prediction in directional drilling utilizing recurrent neural networks
(Peer reviewed; Journal article, 2020)Machine Learning adoption within drilling is often impaired by the necessity to train the model on data collected from wells analogous in lithology and equipment used to the well where the model is meant to be deployed. ... -
Transforming spatio-temporal self-attention using action embedding for skeleton-based action recognition
(Peer reviewed; Journal article, 2023-09)Over the past few years, skeleton-based action recognition has attracted great success because the skeleton data is immune to illumination variation, view-point variation, background clutter, scaling, and camera motion. ... -
Transient identification and interpretation of real-time pressure data from modern well surveillance systems
(Master thesis, 2022)Permanent downhole gauges (PDG) that are installed in modern wells are capable of recording pressure and temperature data during well operations. These data in combination with flow rate measurements may be utilized for ... -
Trådløs feilkontroll
(Bachelor thesis, 2023)Trådløs kommunikasjon har blitt en viktig del av vårt daglige liv. Denne bacheloroppgaven utforsker forskjellige trådløse feilkontrollteknikker som kan oppdage og rette feiler i løpet av trådløs kommunikasjon. Denne ... -
Treghetsnavigasjon av skøyteløper på bane
(Bachelor thesis, 2022)Oppgaven tar for seg fart- og posisjonsanalyse ved treghetsnavigasjon på en hurtigløpsbane for skøyter. Treghetssensorene som brukes er akselerometeret og gyroskopet. Dataene fra treghetssensorene hentes ut av en app på ... -
Triangulum City Dashboard: An Interactive Data Analytic Platform for Visualizing Smart City Performance
(Peer reviewed; Journal article, 2020-02)Cities are becoming smarter by incorporating hardware technology, software systems, and network infrastructure that provide Information Technology (IT) systems with real-time awareness of the real world. What makes a “smart ... -
Trustworthy journalism through AI
(Peer reviewed; Journal article, 2023-07)Quality journalism has become more important than ever due to the need for quality and trustworthy media outlets that can provide accurate information to the public and help to address and counterbalance the wide and rapid ... -
TSCCM; A new model for Manual Service Composition
(Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013)Intercloud approach introduces new opportunities to improve the performance and to increase the utilization of distributed simulation systems in cloud computing. These improvements also imply significant reduction both in ... -
Tunnel Traffic Forecasting Using Deep Learning
(Master thesis, 2023)Tunnel traffic congestion can increase the risk of traffic accidents, tunnel fires, and environmental effect. Despite numerous studies on traffic forecasting using deep learning, research on tunnel traffic remains ...