HIGHLIGHTS
- who: Qingchun Guo et al. from the in Shanghai, China School of Geography and Environment, Liaocheng University, Liaocheng, China have published the paper: Predicting of Daily PM2.5 Concentration Employing Wavelet Artificial Neural Networks Based on Meteorological Elements in Shanghai, China, in the Journal: Toxics 2023, 11, x FOR PEER REVIEW of 30/01/2020
- what: The aim of utilizing the discrete wavelet transform is to reduce the complexity of the input signal and the amount of relevant information between the decomposition combinations (detailed CD2, CD1 and approximate CA2).
- how: This paper proposes . . .
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