Nowadays, big data analysis has become an important approach in social information
network. However, the social information may not be distributed independently and …

This research paper presents the development and implementation of an integrated
condition monitoring and fault detection system for AC induction motors using a combination …

Permanent magnet linear synchronous motors (PMLSMs), as key drivers in the field of
transportation, have a significant impact on the efficiency and reliability of transportation …

This paper introduces a novel approach to enhance the fault-tolerant control of flight
vehicles by incorporating a gated recurrent unit (GRU) neural network within a gain …

In the dredging industry, the automation and accuracy of the Dredging Perception System
(DPS) are vital for operational efficiency and environmental safety. Current DPS …

In this paper, the sensor selection problem (ie the problem of selecting a subset of possibly
redundant sensors from a larger set of potential sensors) for large-scale Wireless Sensor …

The effective fault diagnosis method is a key measure to enhance the safety of lithium-ion
batteries (LIBs). Nevertheless, it is challenging for conventional threshold diagnosis …

The Instrument & control system is the center of the Nuclear Power Plant (NPP), which is
equipped with a large number of sensors to ensure the safe and stable running of the NPP …

Neural networks' capability to model non-linear relationships strongly depends on their
activation functions (AFs). This dependency makes the search for AFs with better …

With the rapid development of Virtual Reality (VR) technology, its application in the field of
sports training is also receiving increasing attention. This study applies the Distance …