Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=18 ...

Abstract: This work develops and analyzes a class of adaptive biased stochastic optimization (ABSO) algorithms from the perspective of the GEneralized Adaptive gRadient (GEAR) method that contains ...

Abstract: Hyperspectral image classification is mainly based on the spectral information of land covers, but water vapor or Rayleigh scattering will weaken the surface reflectance under the effect of ...

Abstract: Preserving the privacy of transactions and ensuring the regulatory compliance of transactions are two important requirements for blockchain-based financial applications. However, these two ...

Abstract: CRYSTALS-Kyber has been standardized as the only key-encapsulation mechanism (KEM) scheme by NIST to withstand attacks by large-scale quantum computers. However, the side-channel attacks ...

Abstract: In this paper, we investigate a novel integrated sensing and communication (ISAC) system aided by movable antennas (MAs). A bistatic radar system, in which the base station (BS) is ...

Abstract: This letter investigates an unmanned aerial vehicle (UAV) network with integrated sensing and communication (ISAC) systems, where multiple UAVs simultaneously sense the locations of ground ...

Abstract: This paper solves the problem of prescribed-time (PT) prescribed-performance tracking for a class of nonlinear systems with non-vanishing uncertainties based on a finite-time command filter ...

Abstract: The discovery of electromagnetic (EM) metasurfaces has significantly advanced the free manipulation of EM waves. Further, the harmonic phenomena based on time-modulated metasurfaces (TMMs) ...

Abstract: An adaptive pulse detection and identification approach with deep learning is proposed for multipoint localization in interferometric distributed optical fiber vibration sensing system. In ...

Abstract: Differing from existing research on intervention strategies such as leader selection and edge addition, we investigate the impact of intervention timing in opinion dynamics. We employ the ...

Abstract: Distributed acoustic sensing (DAS) is emerging in seismic monitoring due to its ultradense spatial sampling, durability to harsh environments, and sensitivity to weak ground vibration.