Solar radiation's intermittent and fluctuating nature poses severe limitations for most
applications. Accurate prediction of solar radiation is an essential factor in predicting the …

This paper shows that time series forecasting Transformer (TSFT) suffers from severe over-
fitting problem caused by improper initialization method of unknown decoder inputs …

This research delves into the latest advancements in Natural Language Processing (NLP)
and their broader implications, challenges, and future directions. With the ever-increasing …

Precise assessment of suspended sediment load (SSL) is vital for many applications in
hydrological modeling and hydraulic engineering. In this study, a smoothed long short-term …

The objective of this study is to investigate and perform long–term forecasting of both
streamflow and hydrological drought over Ethiopia. Observed streamflow and precipitation …

The systemic nature of the risk of bankruptcy of financial institutions has become an
important issue in maintaining the existence and stability of domestic and global finance …

Shale gas production prediction is of great significance for shale gas exploration and
development, as it can optimize exploration strategies and guide adjustments to production …

There is a growing demand for carbon fiber-reinforced plastics (CFRPs) in the aerospace
and automotive industries. Consequently, the assembly and repair of CFRP components …

Background: Trajectory modeling is a longstanding challenge in the application of
computational methods to healthcare. However, traditional statistical and machine learning …