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  • A new structural model of w... A new structural model of warping torsion. I: Formulation for prismatic elastic shafts
    Armero, F. International journal of solids and structures, 07/2022, Volume: 248
    Journal Article
    Peer reviewed
    Open access

    Existing formulations of warping torsion rely on a direct approximation of the warping displacement of the cross sections, even when this approach leads to several limitations. For example, assuming ...
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  • Weighted dynamic time warpi... Weighted dynamic time warping for time series classification
    Jeong, Young-Seon; Jeong, Myong K.; Omitaomu, Olufemi A. Pattern recognition, 09/2011, Volume: 44, Issue: 9
    Journal Article
    Peer reviewed

    Dynamic time warping (DTW), which finds the minimum path by providing non-linear alignments between two time series, has been widely used as a distance measure for time series classification and ...
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  • Multivariate time series cl... Multivariate time series classification with parametric derivative dynamic time warping
    Gorecki, Tomasz; Luczak, Maciej Expert systems with applications, 04/2015, Volume: 42, Issue: 5
    Journal Article
    Peer reviewed

    •We improve DTW distance measure in multivariate time series classification.•We use derivatives to improve DTW in multivariate time series classification.•We test effectiveness on 18 real time ...
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  • A review and evaluation of ... A review and evaluation of elastic distance functions for time series clustering
    Holder, Christopher; Middlehurst, Matthew; Bagnall, Anthony Knowledge and information systems, 02/2024, Volume: 66, Issue: 2
    Journal Article
    Peer reviewed
    Open access

    Time series clustering is the act of grouping time series data without recourse to a label. Algorithms that cluster time series can be classified into two groups: those that employ a time series ...
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  • Measurement and modelling o... Measurement and modelling of torsional warping free vibrations of beams with rectangular hollow cross-sections
    Murin, Justin; Goga, Vladimir; Aminbaghai, Mehdi ... Engineering structures, 04/2017, Volume: 136
    Journal Article
    Peer reviewed

    •Torsional modes of the rectangular hollow cross-section beam are studied.•Measurement of torsional warping eigenfrequencies is done.•Semi-analytical and numerical modal analyses are ...
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  • Remaining useful life predi... Remaining useful life prediction of rolling bearings based on segmented relative phase space warping and particle filter
    Liu, Hengyu; Yuan, Rui; Lv, Yong ... IEEE transactions on instrumentation and measurement, 2022, Volume: 71
    Journal Article
    Peer reviewed

    Predictive maintenance plays a crucial role in the field of intelligent machinery fault diagnosis, which improves the efficiency of maintenance. This paper focuses on the extraction of real-time ...
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  • Dynamic Time Warping under ... Dynamic Time Warping under limited warping path length
    Zhang, Zheng; Tavenard, Romain; Bailly, Adeline ... Information sciences, July 2017, 2017-07-00, 2017-07, Volume: 393
    Journal Article
    Peer reviewed
    Open access

    Dynamic Time Warping (DTW) is probably the most popular distance measure for time series data, because it captures flexible similarities under time distortions. However, DTW has long been suffering ...
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  • Neural volumes Neural volumes
    Lombardi, Stephen; Simon, Tomas; Saragih, Jason ... ACM transactions on graphics, 07/2019, Volume: 38, Issue: 4
    Journal Article
    Peer reviewed

    Modeling and rendering of dynamic scenes is challenging, as natural scenes often contain complex phenomena such as thin structures, evolving topology, translucency, scattering, occlusion, and ...
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  • Improved LDTW Algorithm Bas... Improved LDTW Algorithm Based on the Alternating Matrix and the Evolutionary Chain Tree
    Zou, Zheng; Nie, Ming-Xing; Liu, Xing-Sheng ... Sensors (Basel, Switzerland), 07/2022, Volume: 22, Issue: 14
    Journal Article
    Peer reviewed
    Open access

    Dynamic time warping under limited warping path length (LDTW) is a state-of-the-art time series similarity evaluation method. However, it suffers from high space-time complexity, which makes some ...
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  • Functional Data Analysis of... Functional Data Analysis of Amplitude and Phase Variation
    Marron, J. S.; Ramsay, James O.; Sangalli, Laura M. ... Statistical science, 11/2015, Volume: 30, Issue: 4
    Journal Article
    Peer reviewed
    Open access

    The abundance of functional observations in scientific endeavors has led to a significant development in tools for functional data analysis (FDA). This kind of data comes with several challenges: ...
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