Non-ferrous metals are indispensable industrial materials and strategic supports of national
economic development. The price forecasting of non-ferrous metals is critical for investors …

In many electronic commerce systems, detecting significant clusters is of great value to the
analysis, design, and optimization of the commerce behaviors. In this article, we propose a …

This article deals with the recursive filtering issue for a class of nonlinear complex networks
(CNs) with switching topologies, random sensor failures and dynamic event-triggered …

In recent years, a new Internet-based unsecured credit model, peer-to-peer (P2P) lending, is
flourishing and has become a successful complement to the traditional credit business …

Identifying influential nodes in complex networks is still an open issue. A number of
measures have been proposed to improve the validity and accuracy of the influential nodes …

Non-ferrous metals play a significant role in social development. It is important for policy
makers and entrepreneurs to forecast non-ferrous metals price accurately. However, existing …

As a popular nondestructive testing (NDT) technique, thermal imaging test demonstrates
competitive performance in crack detection, especially for detecting subsurface cracks. In …

In this paper, an improved generative adversarial network (GAN) is proposed for the crack
detection problem in electromagnetic nondestructive testing (NDT). To enhance the contrast …

The research on network community structure recently has some emerging aspects, such as
community hiding for privacy protection in social networks, information transmission …

How to effectively prevent the diffusion of infectious disease has become an intriguing topic
in the field of public hygienics. To be noted that, for the non-periodic infectious diseases …