C Liu, J Huang, F Ji, L Zhang, X Liu, Y Wei… - Atmospheric and Oceanic …, 2021 - Elsevier
… the real situation, so the initial modelprediction mainly represents … ARMA method's prediction only depends on the timeseries, … COVID-19 has spread rapidly and severely affects human …
周雨蕙, 唐旗英 - Modeling and Simulation, 2023 - hanspub.org
… a machinelearning method to analyze the impact of four natural disasters, volcanic eruption, forest fire, COVID-19 and … linear regression predictionmodel, pro-moted the model with the …
… shortage as an example, due to the Covid-19 pandemic and … ) by incorporating text, time series, and supply chain networks… the use of modern machinelearningmodels to predict …
… deeplearning-based urban travel demand predictionmodel… EIFC can process the data of the factors affecting urban travel … ,因此在没有足够数据的情况下可能无法使用ARIMA或SARIMA. …
… and its preload degradation or backlash exists will affect the positioning accuracy. In order to … (GAN) model to deal with ball screw preload data shortage problem, a deeplearning-based …
… field of deeplearning. RNN has been proved to be an effective tool for processing timeseries prediction. … Comparative analysis and forecasting of COVID-19 cases in various European …
… We propose a spatial-temporal-based deeplearning … as weather, time, driver, etc.) that affect the travel time, we have … 所提出的方法已应用于罗马市:通过使用基于ARIMA的模型,在观察到…