Betelhem Mesfin Demissie, Fentaw Girmaw, Nimona Amena, Getachew Ashagrie
Prevalence of metabolic syndrome and associated factors among patient with type 2 diabetes mellitus in Ethiopia, 2023: asystematic review and meta analysis
BMC public health
accurate forecasting pm25 concentrations serves critical tool mitigating air pollution study introduces novel hybrid prediction model termed micceemdancnnbigru shortterm forecasting pm25 concentrations using 24hour historical data window utilizing maximal information coefficient mic feature selection model integrates complete ensemble empirical mode decomposition adaptive noise ceemdan convolutional neural network cnn bidirectional recurrent gated neural network bigru optimize predictive accuracy used 2016 pm25 monitoring data beijing china empirical basis study compared model several deep learning frameworks rnn lstm gru hybrid models based gru respectively experimental results show prediction results hybrid model proposed question accurate models r2 hybrid model proposed paper improves r2 nearly 5 percentage points compared single model reduces mae nearly 5 percentage points reduces rmse nearly 11 percentage points results show hybrid prediction model proposed study accurate models predicting pm25