Abstract: Problems involving the classical linear partial differential equations of mathematical physics can be reduced to algebraic ones of a very much simpler structure by replacing the ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6221021 ...

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: The depth map estimation from a set of remote sensed images has been a challenging task due to the complexity of the real-world scenes, yet it is of great importance for applications such as ...

Abstract: Wireless sensor networks (WSNs) represent a critical research domain within the Internet of Things (IoT) technology. The distributed Kalman filter (DKF) has garnered significant attention as ...

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