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  1. 1561

    Modelling Customs Revenue in Ghana Using Novel Time Series Methods by Diana Ayorkor Agbenyega, John Andoh, Samuel Iddi, Louis Asiedu

    Published 2022-01-01
    “…Predominant amongst the existing models are the econometric models (the GDP-based model, the monthly receipts model, and the microsimulation model), which are laborious and sometimes unreliable when studying trends in time series data. In this study, we modelled monthly revenue data obtained from the Ghana Revenue Authority-Customs Division (GRA-CD) for the period January 2010 to December 2019 using two traditional time series models, ARIMA model and ARIMA Error Regression Model (ARIMAX), and two machine learning time series models, Bayesian Structural Time Series (BSTS) model and a Neural Network Autoregression model. …”
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    Article
  2. 1562

    Nonlinear Time-Delay Suspension Adaptive Neural Network Active Control by Yue Zhu, Sihong Zhu

    Published 2014-01-01
    “…Considering the time-delay in control input channel and the nonlinear spring stiffness characteristics of suspension, a quarter-vehicle magneto rheological active suspension nonlinear model with time-delay is established in this paper. …”
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    Article
  3. 1563

    Achieving Synchronization in Arrays of Coupled Differential Systems with Time-Varying Couplings by Xinlei Yi, Wenlian Lu, Tianping Chen

    Published 2013-01-01
    “…As an application, we obtain a general sufficient condition guaranteeing directed time-varying graph to reach consensus. Example with numerical simulation is provided to show the effectiveness of the theoretical results.…”
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    Article
  4. 1564

    Path Formation Time in the Noise-Limited Fractionated Spacecraft Network with FDMA by Tingting Yan, Shengbo Hu, Jinrong Mo

    Published 2018-01-01
    “…Connectivity and path formation time are very important for the design and optimization in fractionated spacecraft network. …”
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    Article
  5. 1565

    Analysis of Support Reaction Curves considering Time-Varying Effect of Shotcrete by Ya-Qiong Wang, Ming-Rui Luo

    Published 2020-01-01
    “…However, in the later stage, the stiffness growth rate of shotcrete considering time-varying effect is higher than that of shotcrete without time-varying effect. …”
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    Article
  6. 1566

    Time Series Symbolization Method for the Data Mining K-Means Algorithm by Guisheng Wang

    Published 2023-01-01
    “…Time series is a data type frequently encountered in data analysis. …”
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    Article
  7. 1567

    Fractional derivative in continuous-time Markov processes and applications to epidemics in networks by Matteo D'Alessandro, Piet Van Mieghem

    Published 2025-01-01
    “…Continuous-time Markov processes are governed by the Chapman-Kolmogorov differential equation. …”
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    Article
  8. 1568

    Geometry and Space-Time Extent of Pion Emission Region at FCC Energies by V. A. Okorokov

    Published 2016-01-01
    “…The energy dependence is investigated for a wide set of space-time characteristics derived from Bose–Einstein correlations of secondary pion pairs produced in proton-proton and nucleus-nucleus interactions. …”
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  9. 1569

    A Semianalytical Approach to the Solution of Time-Fractional Navier-Stokes Equation by Zeeshan Ali, Shayan Naseri Nia, Faranak Rabiei, Kamal Shah, Ming Kwang Tan

    Published 2021-01-01
    “…In this manuscript, a semianalytical solution of the time-fractional Navier-Stokes equation under Caputo fractional derivatives using Optimal Homotopy Asymptotic Method (OHAM) is proposed. …”
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    Article
  10. 1570

    Spinal mobilization force-time characteristics: A scoping literature review. by Lindsay M Gorrell MChiroprac, Luana Nyirö, Mégane Pasquier, Isabelle Pagé, Nicola R Heneghan, Petra Schweinhardt, Martin Descarreaux

    Published 2023-01-01
    “…<h4>Conclusions</h4>This study reports considerable variability of the force-time characteristics of SMob. In studies reporting force-time characteristics, SMob was most frequently delivered to the lumbar and cervical spine of humans and most commonly peak force was reported. …”
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  11. 1571
  12. 1572

    Real-Time Prediction of the Yarn Break Position Using Vibration Measurement by Marcin Idzik, Tomasz Rybicki

    Published 2025-01-01
    “…Based on the detection of a threshold value of 22 m/s<sup>2</sup>, the warping machine could be stopped within 2.752 to 2.808 ms, which is 50 times faster than in the traditional mechanical detectors under investigation. …”
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  13. 1573
  14. 1574

    On Fault Detection in Linear Discrete-Time, Periodic, and Sampled-Data Systems by P. Zhang, S. X. Ding

    Published 2008-01-01
    “…This paper gives a review of some standard fault-detection (FD) problem formulations in discrete linear time-invariant systems and the available solutions. …”
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  15. 1575
  16. 1576

    Finite-time anti-synchronization of a 6D Lorenz systems by Hu Tang, Kaiyu Liu, Zhengqiu Zhang

    Published 2024-12-01
    “…In this article, the finite time anti-synchronization (FTAS) of master-slave 6D Lorenz systems (MS6DLSS) is discussed. …”
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  17. 1577

    Western Medical Rehabilitation through Time: A Historical and Epistemological Review by Andrea A. Conti

    Published 2014-01-01
    “…The history of medical rehabilitation is a fascinating journey through time, providing insights into many different branches of medicine. …”
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    Article
  18. 1578

    Discrete-time Holling type II models with Allee and refuge effects by Unal Ufuktepe, Burcin Kulahcioglu

    Published 2019-12-01
    “…The discrete-time Holling type II prey-predator models with the refuge and Allee effects are formulated and studied. …”
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  19. 1579

    Pilot-Based Time Domain SNR Estimation for Broadcasting OFDM Systems by Abid Muhammad Khan, Varun Jeoti, Muhammad Zaka Ur Rehman, Muhammad Taha Jilani, Omer Chugtai, Mubashir Hussain Rehmani

    Published 2018-01-01
    “…Moreover, this scheme offers a significant saving of computation over a conventional time domain SNR estimator.…”
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    Article
  20. 1580

    Partial reliability usage for increasing wireless sensor networks, life time by Abbas Ali Rezaee, Mohhammad Hadi Zahedi

    Published 2022-09-01
    “…However, errors at the time of transmission may increas the risk of fault in information. …”
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    Article