Transformer architectures have widespread applications, particularly in Natural Language
Processing and Computer Vision. Recently, Transformers have been employed in various …

Accurate degradation trajectory and future life are the key information of a new generation of
intelligent battery and electrochemical energy storage systems. It is very challenging to …

Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …

Streamflow (Q flow) prediction is one of the essential steps for the reliable and robust water
resources planning and management. It is highly vital for hydropower operation, agricultural …

Accurate predicting the air quality trend can provide a theoretical basis for environmental
protection management and decision-making. This study proposed the convolutional neural …

Accurate wave forecasting is essential for the safety of port and offshore structure operations
and ship navigation. Computational fluid dynamics (CFD) and traditional time series models …

Most countries are reopening or considering lifting the stringent prevention policies such as
lockdowns, consequently, daily coronavirus disease (COVID-19) cases (confirmed …

A deepfake is content or material that is synthetically generated or manipulated using
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …

Wind speed is a key factor for unmanned sailboats, and accurate prediction of wind speed is
of great significance to the safety and performance of unmanned sailboats. In this study, a …

Carbon price forecasting is an important component of a sound carbon price market
mechanism. The accurate prediction of carbon prices is an active topic of research …