With the improvement of hardware computing power and the development of deep learning
algorithms, a revolution of" artificial intelligence (AI)+ medical image" is taking place …

The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …

With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …

A digital twin (DT) is classically defined as the virtual replica of a real-world product, system,
being, communities, even cities that are continuously updated with data from its physical …

Prediction of remaining useful life (RUL) is of vital significance in the prognostics health
management (PHM) tasks. To deal with the reverse time series and to reflect the difference …

Threats of cyberattacks have penetrated from disclosing critical user information to
destroying/manipulating industrial control systems. Study on data security during network …

Accurate prediction of the remaining useful life (RUL) of lithium-ion battery is of great
significance for the reliability of electronic equipment. In the conventional approaches, there …

Deep learning plays an increasingly important role in industrial applications, such as the
remaining useful life (RUL) prediction of machines. However, when dealing with multifeature …

Cyber-physical systems (CPSs) have attracted increasing attention in recent years due to
their promise for substantial and long-term benefits to society, economy, environment, and …

Existing data-driven fault diagnosis methods assume that the label sets of the training data
and test data are consistent, which is usually not applicable for real applications since the …