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  1. 1741
    “…Ensemble empirical mode decomposition known as EEMD, which has made great progress in noise processing, is a noise-assisted nonlinear and nonstationary time series analysis method based on empirical mode decomposition (EMD). …”
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    SVR-EEMD: An Improved EEMD Method Based on Support Vector Regression Extension in PPG Signal Denoising
  2. 1742
    “…While bringing in time series analysis and spatial differentiation feature analysis, the traditional and spatial Markov probability transition matrix is established. …”
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    Research on the Industrial Energy Eco-Efficiency Evolution Characteristics of the Yangtze River Economic Belt in the Temporal and Spatial Dimension, China
  3. 1743
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    Extracting Conditionally Heteroskedastic Components using Independent Component Analysis
  4. 1744
    “…SPSS version 21 software was used for correlation to determine the temporal relationship and time series analysis for seasonal variation. Temperature was found to be significantly associated with TB incidence at the 0.01 level with p = 0.006 and r = 0.477. …”
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    Seasonality and trend analysis of tuberculosis in Lahore, Pakistan from 2006 to 2013
  5. 1745
    por Choudhury, Robin A., McRoberts, Neil
    Publicado 2020
    “…Methods of nonlinear time series analysis developed for the reconstruction of low dimensional attractors provided new insights into the complexity of pathogen abundance data. …”
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    Characterization of Pathogen Airborne Inoculum Density by Information Theoretic Analysis of Spore Trap Time Series Data
  6. 1746
    por Rashid, Sungida
    Publicado 2021
    “…Based on open data of the total number of arrests reported by Dhaka Metropolitan Police (DMP), an uninterrupted historical time series analysis is applied to evaluate the immediate impact during and after the official stay-at-home order due to COVID-19. …”
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    Impact of COVID-19 on Selected Criminal Activities in Dhaka, Bangladesh
  7. 1747
    “…Data reported for 109,129 women served by 132 unique promoters and 192 unique public health facilities is analyzed using logistic regression, interrupted time series analysis and hazard analysis. The results demonstrate that the imposition of the state of emergency is associated with a modest short-term drop in both service provision and utilization, followed by a relatively rapid rebound. …”
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    Short-term effects of the COVID-19 state of emergency on contraceptive access and utilization in Mozambique
  8. 1748
    “…In this study, by using information measures of time series analysis, we attempt to understand the influence of diverse electrical conditions on the characteristics of the simulated electrical signals with the COS model. …”
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    Unveiling Informational Properties of the Chen-Ouillon-Sornette Seismo-Electrical Model
  9. 1749
    “…METHODS: This is an interrupted time series analysis conducted with data from 27 cities collected by VIGITEL, using linear regression models to account for first-order autocorrelation. …”
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    Smoking prevalence and economic crisis in Brazil
  10. 1750
    por Jeon, Yongsu, Kim, Beomjun, Baek, Yunju
    Publicado 2021
    “…Each subnetwork is specialized to detect long- or short-duration drowsy driving using a fusion of features, obtained through time series analysis. To efficiently train the proposed network, we propose an imbalanced data-handling method that adjusts the ratio of normal driving data and drowsy driving data in the dataset by partially removing normal driving data. …”
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    Ensemble CNN to Detect Drowsy Driving with In-Vehicle Sensor Data
  11. 1751
    “…We focus on three common features of complex systems (i.e., interconnectedness, non-ergodicity and non-linearity), and introduce Recurrence Analysis, a method for non-linear time series analysis which is able to quantify complex dynamics. …”
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    Studying Behaviour Change Mechanisms under Complexity
  12. 1752
    “…We consider, in this paper, the predictive region problem in functional time series analysis. We study the prediction by the shortest conditional modal interval constructed by the local linear estimation of the cumulative function of [Image: see text] given functional input variable [Image: see text] . …”
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    Predicting temperature curve based on fast kNN local linear estimation of the conditional distribution function
  13. 1753
    “…In this paper, we propose to use fractional time series analysis methods that have successfully been used to model neurophysiological processes in order to circumvent this issue. …”
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    NEO: NEuro-Inspired Optimization—A Fractional Time Series Approach
  14. 1754
    por Polat, E. G.
    Publicado 2021
    “…This study is first to assign the optimistic, realistic and pessimistic scenarios of the uncertain waste generation using time series analysis method and waste generation formulation. …”
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    Medical waste management during coronavirus disease 2019 pandemic at the city level
  15. 1755
    “…The data were submitted to interrupted time series analysis in both linear and Poisson regression models. …”
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    Impact of restriction of over-the-counter sales of antimicrobials on antimicrobial resistance in Escherichia coli from community-onset urinary tract infections in inner São Paulo State, Brazil
  16. 1756
    “…This paper revisits a model selection technique based on Minimum Message Length (MML) and investigates its use in hybrid time series analysis. MML is a Bayesian information-theoretic approach and has been used in selecting the best ARMA model. …”
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    Minimum Message Length in Hybrid ARMA and LSTM Model Forecasting
  17. 1757
    “…Both parametric and non-parametric approaches to time-series analysis have advantages and drawbacks. Parametric methods, although powerful and widely used, can yield inconsistent results due to the oversimplification of the observed phenomena. …”
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    A non-parametric model: free analysis of actigraphic recordings of acute insomnia patients
  18. 1758
    “…Design: A randomized experimental design using a time series analysis. Methods: A random sample of 58 medical/surgical nurses was evenly divided into an intervention and a control group. …”
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    Impact of an Educational Program on Improving Nurses’ Management of Fever: An Experimental Study
  19. 1759
    “…METHODS: We performed an interrupted time series analysis of HF to determine the changes in the trend of hospitalizations and in-hospital mortality of HF patients before and after the mandatory lockdown in Peru. …”
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    Hospitalizations and mortality of patients with heart failure in the COVID-19 era in Peru
  20. 1760
    “…We conducted a controlled interrupted time series analysis using a nationwide electronic health record–derived oncology dataset. …”
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    Impact of Label Restriction on Checkpoint-Inhibitor Use in Bladder Cancer and Changes in Mortality
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