Abstract: This paper proposes an intensity-modulated liquid level sensor based on cascaded long-period fiber grating (LPFG) and fiber Bragg grating (FBG) structure with temperature compensation. Its ...
Abstract: In this monograph, the authors present an introduction to the framework of variational autoencoders (VAEs) that provides a principled method for jointly learning deep latent-variable models ...
Abstract: This paper presents a novel dual-loop event-triggered control framework designed to facilitate the formation control of unknown autonomous underwater vehicles (AUVs) operating under the ...
Abstract: Multirotors are usually desired to enter confined narrow tunnels that are barely accessible to humans in various applications including inspection, search and rescue, and so on. This task is ...
Abstract: Remote sensing image change detection (RSICD) is a crucial technology for Earth monitoring, but it faces two major challenges in practical applications. First, the complex scenes in remote ...
Abstract: Archetypal analysis (AA) is a matrix decomposition method that identifies distinct patterns using convex combinations of the data points denoted archetypes with each data point in turn ...
Abstract: Diffusion models have garnered significant attention for MRI Super-Resolution (SR) and have achieved promising results. However, existing diffusion-based SR models face two formidable ...
Abstract: Foundation models have emerged as critical components in a variety of artificial intelligence applications, and showcase significant success in natural language processing and several other ...
Abstract: The virtual power plant (VPP) has been advocated as a promising way to aggregate massive distributed energy resources (DERs) in a distribution system (DS) for their participation in ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=19 ...
Abstract: Predictive information is an important research direction in vehicle energy management. As the most intuitive item among numerous predictive information, the accurate and real-time ...
Abstract: Point cloud registration is a crucial task in 3D reconstruction. Affected by noise and missing regions, it is difficult to ensure strict correspondence between points, leading to poor ...
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