Browsing Øvrige samlinger by Title
Now showing items 30478-30497 of 39001
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Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations
(Peer reviewed; Journal article, 2021)This paper deals with robotic lever control using Explainable Deep Reinforcement Learning. First, we train a policy by using the Deep Deterministic Policy Gradient algorithm and the Hindsight Experience Replay technique, ... -
Robotic weld groove scanning for large tubular T-joints using a line laser sensor
(Peer reviewed; Journal article, 2022)This paper presents a novel procedure for robotic scanning of weld grooves in large tubular T-joints. The procedure is designed to record the discrete weld groove scans using a commercially available line laser scanner ... -
Robotic weld groove scanning for large tubular T-joints using a line laser sensor
(Peer reviewed; Journal article, 2022)This paper presents a novel procedure for robotic scanning of weld grooves in large tubular T-joints. The procedure is designed to record the discrete weld groove scans using a commercially available line laser scanner ... -
Robotised Wire Arc Additive Manufacturing Using Set-based Control: Experimental Results
(Peer reviewed; Journal article, 2020)Additive manufacturing (AM) is a term that covers a variety of techniques for building custom-made, three dimensional structures. Such methods have moved from initially being used for creating simpli_ed models to enable ... -
Robotisert prosessautomatisering som bidrag til digitaliseringen av helse- og omsorgssektoren
(Master thesis, 2022)Bakgrunn Det stilles store krav til digitalisering av helse- og omsorgssektoren i Norge. Det er behov for en bærekraftig helse- og omsorgssektor som utnytter mulighetene teknologien kan tilføre for effektiv løsning av ulike ... -
Robotisert prosessautomatisering som bidrag til digitaliseringen av helse- og omsorgssektoren
(Master thesis, 2022)Bakgrunn Det stilles store krav til digitalisering av helse- og omsorgssektoren i Norge. Det er behov for en bærekraftig helse- og omsorgssektor som utnytter mulighetene teknologien kan tilføre for effektiv løsning av ulike ... -
Robust 3D Face Reconstruction Using One/Two Facial Images
(Peer reviewed; Journal article, 2021)Being able to robustly reconstruct 3D faces from 2D images is a topic of pivotal importance for a variety of computer vision branches, such as face analysis and face recognition, whose applications are steadily growing. ... -
Robust adaptive backstepping DP control of ROVs
(Peer reviewed; Journal article, 2022)Dynamic positioning is an important control feature for an underwater remotely operated vehicle. This paper presents a nonlinear dynamic positioning controller suited for application to vehicles with model uncertainties, ... -
A robust algorithm for rate-independent crystal plasticity
(Peer reviewed; Journal article, 2022)A new stable return-mapping algorithm enables crystal-plasticity solutions by using a regularized yield surface with very large exponents, for which the rate-independent limit of the Schmid assumption in practice is reached. ... -
Robust analysis of fluxes in genome-scale metabolic pathways
(Journal article; Peer reviewed, 2017)Constraint-based optimization, such as flux balance analysis (FBA), has become a standard systems-biology computational method to study cellular metabolisms that are assumed to be in a steady state of optimal growth. The ... -
Robust and Gain Scheduled Flight Control of Fixed-Wing UAVs in Wind and Icing Conditions
(Journal article; Peer reviewed, 2022) -
Robust and Reconfigurable On-Board Processing for a Hyperspectral Imaging Small Satellite
(Peer reviewed; Journal article, 2023)Hyperspectral imaging is a powerful remote sensing technology, but its use in space is limited by the large volume of data it produces, which leads to a downlink bottleneck. Therefore, most payloads to date have been ... -
A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses
(Chapter, 2023)Accurate day-ahead nominations of grid losses in electrical distribution networks are important to reduce the societal cost of these losses. We present a modification of the CatBoost ensemble-based system for day-ahead ... -
Robust and secure UAV navigation using GNSS, phased-array radio system and inertial sensor fusion
(Journal article; Peer reviewed, 2018)Positioning using global navigation satellite systems (GNSS) has for several years been the de facto method for long-range navigation of ground, marine and aerial vehicles. With global coverage, high accuracy, and lightweight ... -
Robust Anomaly Detection Using Reflectance Transformation Imaging for Surface Quality Inspection
(Chapter, 2017)We propose a novel methodology for the detection and analysis of visual anomalies on challenging surfaces (metallic). The method is based on a local assessment of the reflectance across the inspected surface, using Reflectance ... -
Robust bacterial co-occurence community structures are independent of r- and K-selection history.
(Peer reviewed; Journal article, 2021)Selection for bacteria which are K-strategists instead of r-strategists has been shown to improve fish health and survival in aquaculture. We considered an experiment where microcosms were inoculated with natural seawater ... -
Robust circle reconstruction with the Riemann fit
(Journal article; Peer reviewed, 2018)Finding and fitting circles from a set of points is a frequent problem in the data analysis of high-energy physics experiments. In a tracker immersed in a homogeneous magnetic field, tracks are close to perfect circles if ... -
A Robust Circuit and Controller ParametersIdentification Method of Grid-Connected VoltageSource Converters Using Vector Fitting Algorithm
(Peer reviewed; Journal article, 2021)This article presents a vector fitting (VF) algorithmbased robust circuit and controller parameters identification method for grid-connected voltage source converters (VSCs). The dq-domain impedance frequency responses ... -
Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species
(Journal article; Peer reviewed, 2021)Deep convolutional neural networks have proven effective in computer vision, especially in the task of image classification. Nevertheless, the success is limited to supervised learning approaches, requiring extensive amounts ... -
Robust Distance Measures for kNN Classification of Cancer Data
(Peer reviewed; Journal article, 2020)The k-Nearest Neighbor (kNN) classifier represents a simple and very general approach to classification. Still, the performance of kNN classifiers can often compete with more complex machine-learning algorithms. The core ...