L Shen, Y Wei, Y Wang - Neural Networks, 2023 - Elsevier
This paper shows that time series forecasting Transformer (TSFT) suffers from severe over- fitting problem caused by improper initialization method of unknown decoder inputs …
BB Sahoo, S Sankalp, O Kisi - Water Resources Management, 2023 - Springer
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 …
W Zhou, X Li, ZL Qi, HH Zhao, J Yi - Applied Energy, 2024 - Elsevier
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 …
Modeling and forecasting the river flow is essential for the management of water resources. In this study, we conduct a comprehensive comparative analysis of different models built for …
R ElGhondakly, SM Moussa, N Badr - Applied Soft Computing, 2023 - Elsevier
As service-oriented computing systems become more buoyant and complex, the occurrence of faults dramatically increases. Fault prediction plays a crucial role in the service-oriented …
This study presents a comparative analysis of various deep learning (DL) methods for multi- input and multi-output (MIMO) time-series forecasting of stock prices. The analysis is …