Due to the greatly improved capabilities of devices, massive data, and increasing concern
about data privacy, Federated Learning (FL) has been increasingly considered for …

Detecting spoofing attacks on the positions of unmanned aerial vehicles (UAVs) within a
swarm is challenging. Traditional methods relying solely on individually reported positions …

This paper proposes a Cyber–Physical System (CPS) scheme to address the challenge of
developing self-improvement and online risk control for Electric Buses (E-Bus) in the …

Pressure relief valves are widely used in hydraulic systems but often fail when operating in
harsh environments. Developing effective and robust fault diagnosis models is essential for …

Fault diagnosis is critical to maintaining the performance of rotating machinery and ensuring
the safe operation of the equipment. Convolutional neural networks (CNNs) have recently …

As a critical component of reusable rocket engines (RRE), the cyclic life of the turbine rotor
blisk often varies due to uncertainties such as machining errors and other factors. However …

The advent of communication technologies marks a transformative phase in critical
infrastructure construction, where the meticulous analysis of failures becomes paramount in …

The motors are critical components of the electromechanical transmission in vehicles, and
its operating status directly affects the maneuverability of vehicles. To quickly and accurately …

This article proposes the MicroStructural Hierarchy Descriptor (µSHD) as a systematic and
quantitative approach to spectra and image data in microelectronics failure analysis. It …

The current topic of research on the implementation of hype technologies in the field of
Artificial Intelligence (AI) is considered. An overview of the prospects for the intensive …