Deep neural network-based decision support has been more prevalent in many cross-
discipline applications, as their strong computation ability can facilitate knowledge discovery …

The intelligent and automatic evaluation for teaching quality has been a more and more
general demand in the digital society. The most intuitive solution is to make an assessment …

Currently, the health management for athletes has been a significant research issue in
academia. Some data-driven methods have emerged in recent years for this purpose …

This paper addresses the sliding mode secure control problem for continuous-time cyber-
physical systems (CPSs) subject to unmatched disturbances and actuator deception attacks …

Industrial Automation (IA) and Artificial Intelligence (AI) need an integrated platform. Due to
the uncertainty of the time required for training or reasoning tasks, it is difficult to ensure the …

With the rapid development of intelligent computing technologies, the smart agricultural
systems has gradually received more research attention. Precisely controlling planting …

Federated learning involves training statistical models over edge devices such as mobile
phones such that the training data is kept local. Federated Learning (FL) can serve as an …

With the development of intelligent aquaculture, the aquaculture industry is gradually
switching from traditional crude farming to an intelligent industrial model. Current …

Image defect detection of casting parts is a key part of the production process in the
machinery manufacturing industry. The traditional methods are ineffective because …

Macroeconomic situation is the overall performance of the economic situation of a country
and region. Making accurate forecasts of macroeconomic trends is of great significance for …