Ying Qi's research while affiliated with Northwest University and other places
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Publications (5)
Water quality prediction is a fundamental and necessary task for the prevention and management of water environment pollution. Due to the fluidity of water, different sections of the same river have similar trends in their water quality. The present water quality prediction methods cannot exploit the correlation between the water quality of each se...
Spatially explicit urban air quality information is important for urban fine-management and public life. However, existing air quality measurement methods still have some limitations on spatial coverage and system stability. A micro station is an emerging monitoring system with multiple sensors, which can be deployed to provide dense air quality mo...
Accurate prediction of water quality contributes to the intelligent management and control of watershed ecology. Water Quality data has time series characteristics, but the existing models only focus on the forward time series when LSTM is introduced and do not consider the effect of the reverse time series on the model. Also did not take into acco...
Accurate prediction of water quality is conducive to intelligent management and control of watershed ecology. Water quality data has time series characteristics, and although methods such as LSTM can capture sequence correlations in time series data, these methods do not consider the impact of bidirectional neighborhoods on the model, and they are...
Citations
... The multivariate time series build predictive models by analyzing historical time series data and correlations between individual factors [48]. For multi-element water quality time series data, different element features have different effects on water quality prediction. ...
