Outstanding steps towards intelligent transportation systems with autonomous vehicles have
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …

Various types of healthcare waste (or medical waste) generated by urban healthcare
activities have increased due to the expansion of urban population and medical needs. As …

This manuscript aims to summarize the evolution of grey forecasting models and their
applications in recent three decades and digs out several valuable research directions of …

Hydrogen is considered to be a hazardous substance. Hydrogen sensors can be used to
detect the concentration of hydrogen and provide an ideal monitoring means for the safe use …

Simultaneous detection of multiple amino acids (AAs) instead of individual AAs is inherently
worthwhile for improving diagnostic accuracy in clinical applications. Here, a facile and …

A general robust data-driven scheme for the Fault Detection, Isolation and Estimation of
multiple sensor faults is proposed and validated using multi-flight data records. Robustness …

Connected autonomous vehicles (CAVs) are revolutionizing the development of
transportation due to their potential to improve transportation performance in many ways …

Sensors are crucial for the control of unmanned aerial vehicles (UAVs). However, sensor
faults will inevitably appear over time. Therefore, it is important to develop a sensor fault …

Rapid faults diagnosis and isolation in flight control systems is vital to evade undesirable
effects on the environment, humans as well as on the system itself. In this research, a new …

The fault safety monitoring of hydrogen sensors is very important for their practical
application. The precondition of traditional machine learning methods for sensor fault …