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  1. 1921
    “…The dataset can be useful for the development of new pattern recognition methods for agricultural land use mapping and monitoring, comparison of different classification methods, and optical and SAR remote sensing time series analysis. This dataset contributes to complement previous initiatives [1], [2] to make tropical agriculture field reference data publicly available.…”
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    LEM+ dataset: For agricultural remote sensing applications
  2. 1922
    “…This study aims to investigate the interactive effects of air pollution and climatic factors on circulatory and respiratory mortality in Xi’an, China. Time-series analysis and the distributed lag non-linear model (DLNM) were employed as the study design and core statistical method. …”
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    Interaction Effects of Air Pollution and Climatic Factors on Circulatory and Respiratory Mortality in Xi’an, China between 2014 and 2016
  3. 1923
    “…To this end, a variety of bivariate or, in general, multivariate time-series-analysis techniques, which are derived from diverse mathematical and physical concepts, are employed and the resulting time-dependent networks can then be further characterized with methods from network theory. …”
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    The Human Organism as an Integrated Interaction Network: Recent Conceptual and Methodological Challenges
  4. 1924
    “…We performed a time-series analysis to detect measurable changes in the prescribing volume associated with COVID-19. …”
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    Trends in Antibiotic Prescribing in Out-of-Hours Primary Care in England from January 2016 to June 2020 to Understand Behaviours during the First Wave of COVID-19
  5. 1925
    “…This study takes both long- and short-term effects of subway expansions on air quality and its corresponding health implications into account based on a network density-based time series analysis and a distance-based difference-in-differences analysis. …”
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    Contribution of Subway Expansions to Air Quality Improvement and the Corresponding Health Implications in Nanjing, China
  6. 1926
    “…The 2010–2016 dataset was analysed using logistic regression and time-series analysis to identify predictors of infection status in bats and the factors associated with human exposure to bats. …”
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    Australian Bat Lyssavirus: Analysis of National Bat Surveillance Data from 2010 to 2016
  7. 1927
    “…Possible trends were analyzed, using an interrupted time-series analysis. Results did not indicate an increase in treatment uptake for gambling disorder during the months of COVID-19 impact in Sweden. …”
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    No Apparent Increase in Treatment Uptake for Gambling Disorder during Ten Months of the COVID-19 Pandemic—Analysis of a Regional Specialized Treatment Unit in Sweden
  8. 1928
    “…The historical pollution data collected from government set-up monitoring stations in Kolkata are used to analyse the underlying patterns with the help of various time-series analysis techniques, which is then used to produce a forecast for the next two years using different statistical and deep learning methods. …”
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    Long-term time-series pollution forecast using statistical and deep learning methods
  9. 1929
    por Ueshima, Atsushi, Kameda, Tatsuya
    Publicado 2021
    “…Furthermore, a time-series analysis revealed that this dominance emerged at a very early stage of decision making (around 500 ms after the stimulus onset), suggesting that the maximin concern operated as a strong cognitive anchor almost instantaneously. …”
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    Reducing variance or helping the poorest? A mouse tracking approach to investigate cognitive bases of inequality aversion in resource allocation
  10. 1930
    “…The approach used in the study is time-series analysis, a statistical tool that explores the underlying inertia in the development of social, physical, or natural phenomena to predict their future evolution. …”
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    The growth of COVID-19 in Spain. A view based on time-series forecasting methods
  11. 1931
    “…The analysis includes a time series analysis to track the distribution of data and content analysis to analyze the knowledge and attitudes of Nigerians. …”
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    Using SNSs for early detection of disease outbreak in developing countries: evidence from COVID-19 pandemic in Nigeria
  12. 1932
    “…The association was estimated from a two-stage time series analysis method. We also calculated deaths attributable to heat and cold. …”
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    Mortality Risk from Respiratory Diseases Due to Non-Optimal Temperature among Brazilian Elderlies
  13. 1933
    “…By introducing a time-dependent covariate based on time-series analysis method, scTITANS performed well in identifying differentially expressed genes and cell subclusters from time-series scRNA-seq data based on several example datasets. …”
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    Identify differential genes and cell subclusters from time-series scRNA-seq data using scTITANS
  14. 1934
    “…In this review, we first introduce possible network structures for the SCN, as revealed by time series analysis from real experimental data. It was found that the SCN network is heterogeneous and sparse, that is, the average shortest path length is very short, some nodes are hubs with large node degrees but most nodes have small node degrees, and the average node degree of the network is small. …”
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    Network Structure of the Master Clock Is Important for Its Primary Function
  15. 1935
    por Dadyan, E., Avetisyan, P.
    Publicado 2021
    “…The calculation can be performed at various intervals: after a minute, an hour, a day, a week, a month, or a year, depending on how much detail the process should be analyzed. In time series analysis problems, we deal with discrete-time, when each observation of a parameter forms a time frame. …”
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    Neural Networks and Forecasting COVID-19
  16. 1936
    “…We applied this methodological framework to cardiorespiratory and cardiovascular time series analysis. In the cardiorespiratory interaction, respiratory and heart rate variability (HRV) showed long-range auto-correlations; however, no factor was shared between them. …”
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    Assessment of long-range cross-correlations in cardiorespiratory and cardiovascular interactions
  17. 1937
    “…This work compares several basic time series analysis methods, including machine learning methods, for forecasting the number of confirmed cases for some days ahead. …”
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    Baseline Accuracies of Forecasting COVID-19 Cases in Russian Regions on a Year in Retrospect Using Basic Statistical and Machine Learning Methods
  18. 1938
    “…We used an interrupted time series analysis to evaluate whether or not there was a change in domestic violence allegations in child protection reports corresponding to the COVID-19 pandemic. …”
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    Domestic Violence Alleged in California Child Maltreatment Reports During the COVID-19 Pandemic
  19. 1939
    “…Methodology: Trend analysis of malaria morbidity and mortality together with time series analysis using the SARIMA (Seasonal Autoregressive Integrated Moving Average) model was used to predict malaria incidence in Nsanje district. …”
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    Epidemiological Trends of Malaria in Five Years and under Children of Nsanje District in Malawi, 2015–2019
  20. 1940
    “…METHODS: We used time series analysis to investigate the association between air pollution levels and pediatric respiratory outpatient visits in Zhoushan city, China. …”
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    Association Between Air Pollutants and Pediatric Respiratory Outpatient Visits in Zhoushan, China
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