In order to effectively solve multi-objective optimization problems (MOPs) and fully balance
uniformity and convergence, a multi-strategy competitive-cooperative co-evolutionary …

Recently, the rapid development of deep learning has greatly improved the performance of
image classification. However, a central problem in hyperspectral image (HSI) classification …

With the rapid development of renewable energy, photovoltaic energy storage systems (PV-
ESS) play an important role in improving energy efficiency, ensuring grid stability and …

Reliable runoff forecasting plays an important role in water resource management. In this
study, we propose a homogeneous selective ensemble forecasting framework based on …

Rapid industrialization has fueled the need for effective optimization solutions, which has led
to the widespread use of meta-heuristic algorithms. Among the repertoire of over 600, over …

Despite the fact that satellite-terrestrial systems have advantages such as high throughput,
low latency, and low energy consumption, as well as low exposure to physical threats and …

During the long and high-intensity railway use, all kinds of defects emerge, which often
produce light to moderate damage on the surface, which adversely affects the stable …

Situation awareness is a key technology in many decision systems, but its performance
bottleneck in the third step, namely situation prediction, has not been overcome yet. This …

Fault diagnosis is integral to maintenance practices, ensuring optimal machinery
functionality. While traditional methods relied on human expertise, intelligent fault diagnosis …

This paper aims to assess the performance of Islamic portfolios vis-à-vis their conventional
counterparts across two distinct periods: the pre-COVID-19 era and the COVID-19 era …