Forecasting of Carbon Monoxide Concentration Based on Sequence-to-Sequence Deep Learning Approach

Air quality; Brain; Carbon monoxide; Errors; Forecasting; Mean square error; Network architecture; Air pollutants; Carbon monoxide concentration; Convolutional neural network; Deep learning; Forecasting models; Human health; Learning approach; Monitoring stations; Root mean square errors; Sequence m...

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Bibliographic Details
Main Authors: Zaini N., Ean L.W., Ahmed A.N.
Other Authors: 56905328500
Format: Conference Paper
Published: Springer Science and Business Media Deutschland GmbH 2023
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Summary:Air quality; Brain; Carbon monoxide; Errors; Forecasting; Mean square error; Network architecture; Air pollutants; Carbon monoxide concentration; Convolutional neural network; Deep learning; Forecasting models; Human health; Learning approach; Monitoring stations; Root mean square errors; Sequence models; Long short-term memory