Recent advances in deep learning, especially the long short-term memory (LSTM) networks, provide some useful insights on how to tackle time series prediction problems, not mention development of a model itself for prediction. Runoff forecasting is problem with past runoff data (water level and discharge data) as inputs fixed-length future output. Most previous work paid attention sufficiency in...

background road traffic accidents and their related deaths have become a major concern, particularly in developing countries. iran has adopted a series of policies and interventions to control the high number of accidents occurring over the past few years. in this study we used a time series model to understand the trend of accidents, and ascertain the viability of applying arima models on data...