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3%, respectively, suggesting the feasible and practicable. The values of 24, 0.01, 50 and 25 for the number of neurons, dropout, the value of epoch number and Batch size best fit 1D-CLA to predict the amount of MSW in Shanghai. Furthermore, the performance of 1D-CLA is better than any single model or two model's combination (R2 is 95.3%) and the mechanism of 1D-CLA is contributed by three former models following the order LSTMCNNAttention.Co-hydrothermal carbonization (HTC) of livestock manure and biomass might improve the fuel pro
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