Now showing items 30965-30984 of 39597

    • A Robust Framework for Object Detection in a Traffic Surveillance System 

      Akhtar, Malik Javed; Mahum, Rabbia; Butt, Faisal Shafique; Amin, Rashid; El-Sherbeeny, Ahmed M.; Lee, Seongkwan Mark; Shaikh, Sarang (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. 

      Azar, Ahmad Taher; Serrano, Fernando E.; Hameed, Ibrahim A.; Kamal, Nashwa Ahmad; Vaidyanathan, Sundarapandian (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 

      Dyrhaug, Jan Inge; Tveter, Erling; Schmidt-Didlaukies, Henrik; Basso, Erlend Andreas; Pettersen, Kristin Ytterstad; Gravdahl, Jan Tommy (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 

      Kirfel, Alexander; Scheer, Tobias; Jung, Norbert; Busch, Christoph (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 

      Rheenen, Arthur Dirk van; Haakestad, Magnus Willum (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 

      Lu, Feng; Manik, Tomas; Andersen, Ida Lægreid; Holmedal, Bjørn (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 

      Costa, Erbet Almeida; Rebello, Carine de Menezes; Fontana, Márcio; Schnitman, Leizer; B. R. Nogueira, Idelfonso (Journal article; Peer reviewed, 2023)
    • A robust line-tracking photogrammetry method for uplift measurements of railway catenary systems in noisy backgrounds 

      Jiang, Tengjiao; Frøseth, Gunnstein Thomas; Rønnquist, Anders; Fagerholt, Egil (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 

      Sørland, Geir; Anthonsen, Henrik Walbye; Ukkelberg, Åsmund; Zick, Klaus (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 ...
    • Robust Modelling of Additive and Non-additive Variation with Intuitive Inclusion of Expert Knowledge 

      Hem, Ingeborg Gullikstad; Selle, Maria; Gorjanc, Gregor; Fuglstad, Geir-Arne; Riebler, Andrea Ingeborg (Peer reviewed; Journal article, 2020)
      We propose a novel Bayesian approach that robustifies genomic modeling by leveraging expert knowledge (EK) through prior distributions. The central component is the hierarchical decomposition of phenotypic variation into ...
    • Robust Navigation of UAV using Inertial Sensors Aided by UWB and RTK GPS 

      Gryte, Kristoffer; Hansen, Jakob Mahler; Johansen, Tor Arne; Fossen, Thor I. (Chapter, 2017)
      Tight integration of ultra wideband (UWB) range measurements with real-time kinematic (RTK) aiding of inertial navigation for increased robustness to GNSS dropouts, is achieved using a double-differenced nonlinear observer. ...
    • Robust Networked Federated Learning for Localization 

      Mirzaeifard, Reza; Venkategowda, Naveen K. D.; Werner, Anders Stefan (Chapter, 2023)
      This paper addresses the problem of localization, which is inherently non-convex and non-smooth in a federated setting where the data is distributed across a multitude of devices. Due to the decentralized nature of federated ...
    • Robust nonlinear Newton solver with adaptive interface-localized trust regions 

      Klemetsdal, Øystein; Møyner, Olav; Lie, Knut-Andreas (Journal article; Peer reviewed, 2019)
      The interplay of multiphase flow effects and PVT behavior encountered in reservoir simulations often gives strongly coupled nonlinear systems that are challenging to solve numerically. In a sequentially implicit method, ...
    • Robust numerical methods for nonlocal (and local) equations of porous medium type. Part I: Theory 

      Teso, Felix del; Endal, Jørgen; Jakobsen, Espen Robstad (Journal article; Peer reviewed, 2019)
      We develop a unified and easy to use framework to study robust fully discrete numerical methods for nonlinear degenerate diffusion equations $\partial_t u-\mathfrak{L}^{\sigma,\mu}[\varphi(u)]=f \;\text{in}\; \mathbb{R}^ ...
    • Robust numerical methods for nonlocal (and local) equations of porous medium type. Part II: Schemes and experiments 

      del Teso, Félix; Endal, Jørgen; Jakobsen, Espen Robstad (Journal article; Peer reviewed, 2018)
      We develop a unified and easy to use framework to study robust fully discrete numerical methods for nonlinear degenerate diffusion equations $\partial_t u-\mathfrak{L}[\varphi(u)]=f(x,t)$ in $\mathbb{R}^N\times(0,T),$ where ...
    • Robust online active learning 

      Cacciarelli, Davide; Kulahci, Murat; Tyssedal, John Sølve (Journal article; Peer reviewed, 2023)
      In many industrial applications, obtaining labeled observations is not straightforward as it often requires the intervention of human experts or the use of expensive testing equipment. In these circumstances, active learning ...
    • Robust Optimization for a Maritime Inventory Routing Problem 

      Agra, Agostinho; Christiansen, Marielle; Hvattum, Lars Magnus; Rodrigues, Filipe (Journal article; Peer reviewed, 2018)
      We consider a single product maritime inventory routing problem in which the production and consumption rates are constant over the planning horizon. The problem involves a heterogeneous fleet and multiple production and ...
    • Robust orbital stabilization: A Floquet theory–based approach 

      Sætre, Christian Fredrik; Shiriaev, Anton; Freidovich, Leonid B.; Gusev, Sergei V.; Fridman, Leonid M. (Journal article; Peer reviewed, 2021)
      The design of robust orbitally stabilizing feedback is considered. From a known orbitally stabilizing controller for a nominal, disturbance-free system, a robustifying feedback extension is designed utilizing the sliding-mode ...
    • Robust phase retrieval with non-convex penalties 

      Mirzaeifard, Reza; Dasanadoddi Venkategowda, Naveen Kumar; Werner, Anders Stefan (Journal article, 2023)
      This paper proposes an alternating direction method of multiplier (ADMM) based algorithm for solving the sparse robust phase retrieval with non-convex and non-smooth sparse penalties, such as minimax concave penalty (MCP). ...
    • Robust Phased Array Navigation in Reflective Prone Areas 

      Hasler, Oliver Kevin; Bryne, Torleiv Håland; Johansen, Tor Arne (Chapter, 2023)
      Navigation with a Phased Array Radio System (PARS) is prone to performance degradation due to radio wave reflections of the directed communication beam on reflective surfaces. This work presents a navigation algorithm, ...