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Showing 161 - 180 results of 36,603 for search '(( significant gap basic ) OR ( significant ((side decrease) OR (we decrease)) ))', query time: 0.64s Refine Results
  1. 161
    Comparison of true vs. predicted PM2.5 values using univariate and multivariate models for a 48-hour gap: (a) UniSeq2Seq XGB, (b) UniSeq2Seq XGB Multi, (c) XGB Seq2Seq, (d) XGB Seq2Seq Multi.

    Comparison of true vs. predicted PM2.5 values using univariate and multivariate models for a 48-hour gap: (a) UniSeq2Seq XGB, (b) UniSeq2Seq XGB Multi, (c) XGB Seq2Seq, (d) XGB Seq... by Ruslan Safarov (15322669)

    Published 2025
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  2. 162
    Seasonal statistics of PM2.5 concentrations in Pavlodar, May 2024–January 2025.

    Seasonal statistics of PM2.5 concentrations in Pavlodar, May 2024–January 2025. by Ruslan Safarov (15322669)

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  3. 163
    Scatter plots of predicted versus actual PM2.5 values (μg/m<sup>3</sup>) for selected models representing different methodological approaches and performance levels: (a) XGB Seq2Seq (best overall model), (b) RF Seq2Seq (second-best model), (c) UniSeq2Seq XGB (best unidirectional model), (d) XGB Autoreg (best autoregressive model), (e) Local Imputation Mean (best simple method), and (f) Simple Imputer Mean (baseline method).

    Scatter plots of predicted versus actual PM2.5 values (μg/m<sup>3</sup>) for selected models representing different methodological approaches and performance levels: (a) XGB Seq2Se... by Ruslan Safarov (15322669)

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  4. 164
    Research-flowchart-final-fixed.

    Research-flowchart-final-fixed. by Ruslan Safarov (15322669)

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  5. 165
    Distribution of PM2.5 concentrations in Pavlodar (May 2024–January 2025): (left) histogram with probability density function showing mean and median values; (right) Q-Q plot demonstrating deviation from normal distribution.

    Distribution of PM2.5 concentrations in Pavlodar (May 2024–January 2025): (left) histogram with probability density function showing mean and median values; (right) Q-Q plot demons... by Ruslan Safarov (15322669)

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  6. 166
    Hourly PM2.5 data completeness visualization after quality checks and outlier removal.

    Hourly PM2.5 data completeness visualization after quality checks and outlier removal. by Ruslan Safarov (15322669)

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  7. 167
    Temporal distribution of PM2.5 WHO daily threshold exceedances (May 2024–January 2025).

    Temporal distribution of PM2.5 WHO daily threshold exceedances (May 2024–January 2025). by Ruslan Safarov (15322669)

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  8. 168
    Distribution of residuals from the logarithmic regression model of PM2.5 concentrations.

    Distribution of residuals from the logarithmic regression model of PM2.5 concentrations. by Ruslan Safarov (15322669)

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  9. 169
    Correlation heatmap between PM2.5 and temporal features.

    Correlation heatmap between PM2.5 and temporal features. by Ruslan Safarov (15322669)

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  10. 170
    Examples of 12-hour gap filling in PM2.5 time series (μg/m<sup>3</sup>) by representative models with varying performance: (a) XGB Seq2Seq, (b) RF Seq2Seq, (c) UniSeq2Seq XGB, (d) XGB Autoreg, (e) Local Imputation Mean, and (f) Simple Imputer Mean.

    Examples of 12-hour gap filling in PM2.5 time series (μg/m<sup>3</sup>) by representative models with varying performance: (a) XGB Seq2Seq, (b) RF Seq2Seq, (c) UniSeq2Seq XGB, (d)... by Ruslan Safarov (15322669)

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  11. 171
    Aggregated scatter plots of predicted vs. true PM2.5 values across all gap lengths: (a) UniSeq2Seq XGB, (b) UniSeq2Seq XGB Multi, (c) XGB Seq2Seq, (d) XGB Seq2Seq Multi.

    Aggregated scatter plots of predicted vs. true PM2.5 values across all gap lengths: (a) UniSeq2Seq XGB, (b) UniSeq2Seq XGB Multi, (c) XGB Seq2Seq, (d) XGB Seq2Seq Multi. by Ruslan Safarov (15322669)

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  12. 172
    Hourly, monthly, and day-of-week trends in PM2.5 concentrations with 95% confidence intervals: (a) mean PM2.5 by hour of day, (b) mean PM2.5 by month, and (c) mean PM2.5 by day of week.

    Hourly, monthly, and day-of-week trends in PM2.5 concentrations with 95% confidence intervals: (a) mean PM2.5 by hour of day, (b) mean PM2.5 by month, and (c) mean PM2.5 by day of... by Ruslan Safarov (15322669)

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  13. 173
    Distribution of Air Quality Index (AQI) in the study area.

    Distribution of Air Quality Index (AQI) in the study area. by Ruslan Safarov (15322669)

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  14. 174
    Monthly statistics of PM2.5 concentrations in Pavlodar, May 2024–January 2025.

    Monthly statistics of PM2.5 concentrations in Pavlodar, May 2024–January 2025. by Ruslan Safarov (15322669)

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  15. 175
    Primary software libraries used in this study.

    Primary software libraries used in this study. by Ruslan Safarov (15322669)

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  16. 176
    Secondary outlier detection in hourly aggregated PM2.5 measurements, highlighting abnormal spikes (red points) identified by exceeding threshold criteria (>270 µg/m<sup>3</sup>) or showing disproportionate increases (>200 µg/m<sup>3</sup> and >3 × previous value).

    Secondary outlier detection in hourly aggregated PM2.5 measurements, highlighting abnormal spikes (red points) identified by exceeding threshold criteria (>270 µg/m<sup>3</sup>) or... by Ruslan Safarov (15322669)

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  17. 177
    Scatter plot of predicted versus actual log-transformed PM2.5 concentrations from the logarithmic regression model.

    Scatter plot of predicted versus actual log-transformed PM2.5 concentrations from the logarithmic regression model. by Ruslan Safarov (15322669)

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  18. 178
    Distribution of PM2.5 Concentrations Across Meteorological Parameters: (a) air temperature, (b) relative humidity, (c) wind speed, and (d) wind direction.

    Distribution of PM2.5 Concentrations Across Meteorological Parameters: (a) air temperature, (b) relative humidity, (c) wind speed, and (d) wind direction. by Ruslan Safarov (15322669)

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  19. 179
    Temporal dynamics of PM2.5 concentrations in Pavlodar (May 2024–January 2025): (upper) hourly values showing high-frequency variability and extreme events; (lower) daily average values revealing medium-term pollution patterns.

    Temporal dynamics of PM2.5 concentrations in Pavlodar (May 2024–January 2025): (upper) hourly values showing high-frequency variability and extreme events; (lower) daily average va... by Ruslan Safarov (15322669)

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  20. 180
    Correlation matrix between PM2.5 and meteorological parameters.

    Correlation matrix between PM2.5 and meteorological parameters. by Ruslan Safarov (15322669)

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