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 …

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 main idea of the project is to integrate an artificial neural network, implemented as an
electronic circuit, with microcircuits of the living brain. Depending on the set of input signals …

For wafer foundries to maintain high yield and quality, errors in manufacturing wafers must
be identified and corrected. To find the source of problems and increase overall yield, defect …