Accurate and efficient prediction of well production is essential for extending a well's life
cycle and improving reservoir recovery. Traditional models require expensive computational …

Time series forecasting has been performed for decades in both science and industry. The
forecasting models have evolved steadily over time. Statistical methods have been used for …

Environmental pollution is becoming serious worldwide and remains a big challenge for
human beings in this century. Many countries and organizations are seeking solutions to this …

Export is an important factor that keeps the economy of a country going. Local export
forecast guides government for a better policy making, local productivity measurement and …

Forecasting water level is an extremely important task as it allows to mitigate the effects of
floods, reduce and prevent disasters. Physically based models often give good results but …

In maritime transportation, accurate estimation of ship trajectories has a great impact on
collision-free trajectory planning. Previously, many approaches were proposed for ship …

House price prediction is a popular topic, and research teams are increasingly performing
related studies by using deep learning or machine learning models. However, because …

For decades, time series forecasting had many applications in various industries such as
weather, financial, healthcare, business, retail, and energy consumption forecasting. An …

Data mining is now commonly applied in the real estate market. Data mining's ability to
extract relevant knowledge from raw data makes it very useful to predict house prices, key …

With the rapid development of telecommunication networks, the predictability of network
traffic is of significant interest in network analysis and optimization, bandwidth allocation …