Time series prediction with deep learning methods, especially Long Short-term Memory
Neural Network (LSTM), have scored significant achievements in recent years. Despite the …

In the research of mining software repositories, we need to label a large amount of data to
construct a predictive model. The correctness of the labels will affect the performance of a …

Bike-sharing systems (BSS) have raised in popularity in the last years due to their potential
share in sustainable cities. Although the first attempts to implement a bike-sharing public …

For power generation management and power system dispatching, it is of big significance to
predict the consumption of electric energy accurately. For the sake of improving the …

Bike-sharing systems, aiming at meeting the public's need for” last mile” transportation, are
becoming popular in recent years. With an accurate demand prediction model, shared bikes …

This paper addresses a static bike repositioning problem by embedding a short-term
demand forecasting process, the Random Forest (RF) model, to account for the demand …

As a convenient, economical, and eco-friendly travel mode, bike-sharing greatly improved
urban mobility. However, it is often very difficult to achieve a balanced utilization of shared …

In recent years, bike-sharing systems (BSS) are being widely established in urban cities to
provide a sustainable mode of transport, by fulfilling the mobility requirements of public …

The sharp rise in popularity of micro-mobility poses significant challenges in terms of
ensuring its safety, addressing its social impacts, mitigating its environmental effects, and …

As a healthy, efficient and green alternative to motorized urban travel, bike sharing has been
increasingly popular, leading to wide deployment and use of bikes instead of cars. Accurate …