This study aims to propose an efficient evaluation model for Sino foreign cooperative
education projects, which can offer a reasonable reference for universities to deepen reform …

This paper proposes an effective deep learning framework for Short-Term Load Forecasting
(STLF) of multivariate time series. The proposed model consists of a hybrid Convolutional …

Abstract The Pearl River Delta urban agglomeration (PRD) is the main body responsible for
achieving carbon neutrality in China. However, high carbon dioxide (CO2) emissions are …

To facilitate the project portfolio benefits (PPB) management and realize the maximization of
the benefits, a PPB measurement model based on the genetic algorithm (GA)-BP neural …

English Education has gained importance to accelerate the development of countries by
means of personalized education and students' characteristics, family properties, etc., and …

The deep drainage of irrigated cropland, which is one of the main causes of water losses in
irrigation, plays an important role in water resource management. However, its magnitudes …

Small samples are prone to overfitting in the neural network training process. This paper
proposes an optimization approach based on L2 and dropout regularization called a hybrid …

Project portfolio benefit (PPB) prediction can effectively help managers monitor the
acquisition of PPBs, thereby better achieving their target benefits. However, no valid model …

To identify suitable merging methods to improve regional precipitation estimates using
multiple sources of precipitation data, this study applied four different approaches (multiple …

La educación ha ganado importancia para acelerar el desarrollo de los países mediante la
educación personalizada, etc., e impulsar su adquisición de conocimiento. Si bien es tarea …