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    Fast SVM-based Multiclass Classification in Large Training Sets by M. Yu. Kurbakov, V. V. Sulimova

    Published 2024-12-01
    “…This paper addresses the actual problem of multiclass classification in large training sets. Classical Support Vector Machines (SVM) is a popular, convenient and well-interpreted classification method, but it has a high computational complexity of a training stage in a nonlinear case and a low data parallelism. …”
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    A Fast Modeling Technique for the Vertical Train-Track-Bridge Interactions by Hanyun Liu, Zhiwu Yu, Wei Guo

    Published 2019-01-01
    “…This paper proposed a fast modeling technique (FMT) for the vertical dynamic analysis of the coupled train-track-bridge (TTB) systems, which combines the train subsystems and track-bridge subsystems by the client-server technique to complete the entire TTB analysis on simplex OpenSees simulation platform. …”
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    Transient energy storage systems for fast frequency response: Power‐train considerations by Yiheng Hu, Nigel Schofield, Nan Zhao

    Published 2024-12-01
    “…Hence, it is crucial to understand the impact of TESS components design on sizing the power‐train system during fast frequency response. While power‐train systems have been extensively discussed, the impact of dc‐link voltage on the TESS power‐* train and associated power electronics specification requirements has not been evaluated. …”
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    Statistical modeling based fast rate estimation algorithm for VVC by Wei QI, Haibing YIN, Hongkui WANG, Xiaofeng HUANG, Weihong NIU

    Published 2022-12-01
    “…To reduce the coding complexity of the rate-distortion optimization process of the latest video coding standard versatile video coding (VVC), a fast rate estimation model based on statistical modeling was proposed.Firstly, the quantization behavior in dependent quantization (DQ) and the context dependency in entropy coding were fully considered.Features that could describe context state transition in the coding process were proposed to estimate rate of some synatax elements in a TU preliminarily.Secondly, coefficient chaos and sparsity features were proposed to distinguish the influence of coefficient distribution difference on the rate cost based on the coefficient distribution characteristics which built a TU level rate model.Finally, large-size transform unit (TU) and small-size TU was modeling respectively according to the rate composition character to achieve more accurate rate estimation.A large number of parameters were trained by regression model through statistical methods, and the final linear rate model was obtained which was applied to the mode decision.Experimental results show that the proposed algorithm can achieve 16.289% complexity reduction with 1.567% BD-BR increase for RA configuration.…”
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    Simultaneously Excited Narrow and Broad Quasiperiodic Fast-propagating Wave Trains in the Solar Corona by Mijie Shi, Valery M. Nakariakov, Bo Li, Mingzhe Guo

    Published 2025-01-01
    “…The response of a solar coronal plasma loop to an impulsive perturbation, demonstrating the simultaneous formation of guided and leaky fast magnetoacoustic wave trains, is numerically studied. …”
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    Effects of Neuromuscular Training Applied During Ramadan on Physical Fitness and Injury Prevention in Highly-Trained Male Youth Soccer Players by Ali Belamjahad, Claire Tourny, Anthony C. Hackney, Fatiha Laziri, Ayoub Saeidi, Ouafae El Hachimi, Ismail Laher, Urs Granacher, Hassane Zouhal

    Published 2025-04-01
    “…Abstract Background The intermittent fasting period of Ramadan is associated with reductions in training volumes and intensities to maintain physical fitness levels and reduce injury occurrence. …”
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    A novel adversarial deep TSK fuzzy classifier with its inverse-free fast training by Limin Mao, Hangming Shi, Yongxin Chou, Jinliang Cong, Mingli Lu, Zekang Bian, Suhang Gu

    Published 2025-05-01
    “…Extensive experiments on fourteen benchmark datasets from the UCI and KEEL data repositories and the corresponding statistical test results demonstrate the effectiveness of the proposed AD-TSK as well as its inverse-free fast training. The source code of AD-TSK classifier can be downloaded from https://github.com/gusuhang10/AD-TSK .…”
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    A Criticality and depletion analysis of the European Lead-Cooled Training Reactor (ELECTRA) by Ana Luiza Pereira Oliveira, Clarysson Alberto Mello da Silva

    Published 2022-10-01
    “…In this article, a criticality and depletion analysis of the European Lead-Cooled Training Reactor (ELECTRA), a low-power, compact, fast lead-cooled reactor, was performed. …”
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    The Impact of a Hybrid Training Program on Point-of-Care Ultrasound (POCUS) Knowledge Acquisition & Skills among Non-ultrasound Trained Physicians by Maryam Alnuaimi, Hamid Shokoohi, Deborah Navedo, Roger Dias

    Published 2024-03-01
    “…Background: Physicians from around the world with a variety of training backgrounds practice medicine in the United Arab Emirates. …”
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