Directly learning the swimming behaviors of real fish can significantly enhance the swimming performance of bionic robotic fish. This paper presents a novel transfer learning method based on a dynamic ...

Electrical impedance tomography (EIT) is an emerging parameter visualization technology widely applied in industrial and medical scenarios. However, due to the limited of measurement signals and the ...

This article proposes a game-based distributed decision optimization method for heterogeneous multiagent systems with unknown nonlinear dynamics. Due to the information exchange between agents in the ...

Encoderless algorithms for surface-mounted permanent magnet synchronous motors (SPMSMs) addresses the installation limitations of encoders in harsh or confined environments. However, existing ...

This article investigates the discrete-time fuzzy complex networks (FCNs) event-triggered (ET) synchronization control problem by considering the coupling effect and cyber attacks. To prevent data ...

Recently, the radar technology has become increasingly essential for both security and economic purposes. Typically, the ground-based synthetic aperture radar (GB-SAR) is extensively applied in ...

Ultrasonic attenuation can be used to characterize tissue properties of the human breast. Both quantitative ultrasound (QUS) and ultrasound tomography (USCT) can provide attenuation estimation.

Hyperspectral image (HSI) target detection is an advanced technology within the remote sensing society, widely applied in both civilian and military domains. However, subpixel target detection poses a ...

As the key components of a traditional permanent magnet synchronous machine (PMSM)-based high-speed magnetic suspension system, the rotor-PMSM and the magnetic bearing are normally designed and ...

It is crucial to recognize unknown faults for the intelligent fault diagnosis of bogie mechanical transmission components. This is essential to ensure the safety of trains in long-term service.

The principal innovative contribution of this study resides in the introduction of a category of fractional delayed large-scale neural networks characterized by intricate topological structures.

Distributed acoustic sensing (DAS) is a highly appealing technology for seismology, prized for its flexibility, durability, and high sensitivity to vibrations and strain field changes. However, ...