A New Regularized Spatiotemporal Attention-Based LSTM with Application to Nitrogen Oxides Emission Prediction
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DOI: 10.1021/acsomega.2c08205
Abstract: The data collected from complex process industries are usually time series with considerable nonlinearities and dynamics, as well as excessive redundancy. Moreover, there are temporal and spatial correlations between input variables and key performance variables.… read more here.
Keywords: spatiotemporal attention; new regularized; attention based; regularized spatiotemporal ... See more keywords