Blar i NTNU Open på tittel
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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 Estimation of Remotely-Operating Underwater Drones for Monitoring Applications
(Master thesis, 2020)Denne oppgaven introduserer bruken av maskinlæring-algoritmer, mer presist «deep learning», for å lage en algoritme som på en robust måte estimerer distansen til «Remotely Operating Vehicles (ROV)». Dette er i forhold til ... -
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 ... -
Robust DNA repair in PAXX-deficient mammalian cells
(Journal article; Peer reviewed, 2018)To ensure genome stability, mammalian cells employ several DNA repair pathways. Nonhomologous DNA end joining (NHEJ) is the DNA repair process that fixes double-strand breaks throughout the cell cycle. NHEJ is involved in ... -
Robust Dynamic Positioning of offshore vessels using mixed-μ synthesis modeling, design, and practice
(Journal article, 2017)This paper describes a procedure to design robust controllers for Dynamic Positioning (DP) of ships and offshore rigs subjected to the influence of sea waves, currents, and wind loads using H∞ and mixed-μ techniques. The ... -
Robust Estimation of Blood Glucose Level Based on Subcutaneous Sensors and Analysis of Blood Samples
(Master thesis, 2022)Diabetes mellitus er en sykdom, som påvirker millioner av mennesker rundt om i verden. Sykdommen er delt inn i tre hovedtyper: type 1, type 2 og svangerskaps diabetes, og er karakterisert ved utilstrekkelig eller defekt ... -
Robust estimation of optimal sample size for CMM measurements with statistical tolerance limits
(Journal article; Peer reviewed, 2018)The paper proposes the kernel probability density function approach to estimate the distribution of measurements on a part which is measured in a coordinate measuring machine (CMM). The study is based on the experimental ... -
Robust fault and icing diagnosis in unmanned aerial vehicles using LPV interval observers
(Journal article; Peer reviewed, 2018)This paper proposes a linear parameter varying (LPV) interval unknown input observer for the robust fault diagnosis of actuator faults and ice accretion in unmanned aerial vehicles (UAVs) described by an uncertain model. ... -
Robust features of a turbulent boundary layer subjected to high-intensity free-stream turbulence
(Journal article; Peer reviewed, 2018)The influence of the large scale organisation of free-stream turbulence on a turbulent boundary layer is investigated experimentally in a wind tunnel through hot-wire measurements. An active grid is used to generate ... -
Robust Fish Cage Hole Detection in Challenging Environments - Rethinking Spatiotemporal Deep Learning and Advanced Computer Vision Techniques
(Master thesis, 2021)I 2019 alene ble nesten 300.000 atlanterhavslaks rapportert rømt fra norske oppdrettsanlegg. Dette antallet tilsvarer over halve den gjenværende villaksbestanden. En vanlig fluktrute går gjennom hull i nota, og regelmessig ... -
A Robust Framework for Object Detection in a Traffic Surveillance System
(Peer reviewed; Journal article, 2022)Object recognition is the technique of specifying the location of various objects in images or videos. There exist numerous algorithms for the recognition of objects such as R-CNN, Fast R-CNN, Faster R-CNN, HOG, R-FCN, ... -
Robust GNSS-Aided V-SLAM for an Unmanned Ground Vehicle
(Master thesis, 2019)Forsvarets forskningsinstitutt (FFI) utvikler for tiden et ubemannet bakkekjøretøy, kalt Olav, som skal fungere som en del av fremtidens baseforsvar . Olav skal være i stand til å utføre oppklaringsoppdrag autonomt, som ... -
Robust H-Infinity Decentralized Control for Industrial Cooperative Robots.
(Chapter, 2019)In this paper, a robust H-infinity controller is proposed for industrial cooperative robots in which disturbances are taken into account for an appropriate controller design. Considering the disturbance affects the system ... -
Robust Hierarchical Tracking Control of Vehicle-Manipulator Systems
(Journal article; Peer reviewed, 2023)For vehicle-manipulator systems (VMSs) to perform precise operations, a robust tracking control framework is required. Moreover, to exploit the platform's redundancy, it is desirable that the framework allows several tasks ... -
Robust hybrid retningsstyring for autonome skip
(Master thesis, 2019)I de senere år har det vært økt interesse for styringssystemdesign og veiledning av autonome fartøy. Etter hvert som kompleksiteten i disse systemene øker, er det stor etterspørsel etter å designe robuste systemer som ... -
Robust Identification and Segmentation of the Outer Skin Layers in Volumetric Fingerprint Data
(Peer reviewed; Journal article, 2022)Despite the long history of fingerprint biometrics and its use to authenticate individuals, there are still some unsolved challenges with fingerprint acquisition and presentation attack detection (PAD). Currently available ... -
Robust Identification of Concealed Dangerous Substances by Spectral Correlation of Terahertz Transmission Images
(Journal article; Peer reviewed, 2015)Terahertz images containing spectral information in each pixel are recorded in transmission mode using a fibercoupled time-domain spectroscopy system. The images are acquired by mounting a sample holder on an x–y stage, ... -
A Robust Image Processing Algorithm for Optical-Based Stress–Strain Curve Corrections after Necking
(Peer reviewed; Journal article, 2021)To determine the stress–strain curve of a ductile material up to the fracture from a tensile test, the necking contour is measured by an optical measurement technique. The radius of the minimal cross-sectional area and the ... -
Robust Landmark Detection of the Left Ventricle Based on 2D Ultrasound Image Data
(Master thesis, 2017)Echocardiography, or cardiac ultrasound, is a convenient imaging modality for bedside examination of the heart in real-time. However, acquiring ultrasound images of good quality is challenging, and currently ultrasound ... -
A Robust Learning Methodology for Uncertainty-Aware Scientific Machine Learning Models
(Journal article; Peer reviewed, 2023)