Liu, X. , Mei, R. , Zhao, Z. , Wang, S. and Duan, J. (2025) An Optimized Port Operation Efficiency Prediction Model Based on ESN and LSTM. Journal of Software Engineering and Applications, 18, 413-426 ...

The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...

AI is transforming economic analysis, from natural language processing of central bank headlines to satellite imagery outperforming official statistics. This analysis is looking at how AI is enhancing ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

For a time-to-event outcome with censored time-varying covariates, a joint Cox model with a linear mixed effects model is the standard modeling approach. In some applications such as AIDS studies, ...

The RSTI treats shade tolerance as a continuous function, expressed through a nonlinear predictive model. Validation with published data on 61 temperate broadleaved tree species showed the model ...

A comprehensive framework integrates statistical modeling, machine learning, and simulation to optimize urban traffic forecasting, capacity ...

SINGAPORE--(BUSINESS WIRE)--Gallium Semiconductor, an innovative supplier of RF semiconductor solutions, today announced the release of its library of nonlinear models for its portfolio of GaN ...