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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 ... -
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 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 ... -
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 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 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 ... -
A Robust Learning Methodology for Uncertainty-Aware Scientific Machine Learning Models
(Journal article; Peer reviewed, 2023) -
A robust line-tracking photogrammetry method for uplift measurements of railway catenary systems in noisy backgrounds
(Peer reviewed; Journal article, 2020)For electrical railways, contact wires are used to ensure stable and continuous power supply to trains operating on the infrastructure. One crucial design parameter used to control the catenary design is the vertical ... -
A Robust Method for Analysing One and Two-Dimensional Dynamic NMR Data
(Peer reviewed; Journal article, 2022)A new method combining Anahess and Inverse Laplace Transform, for analysing one- and two-dimensional dynamic NMR data has been developed. When using the Inverse Laplace Transform (ILT) algorithm only to generate solutions ...