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: Neural models have been employed in many Information Retrieval scenarios, including ad-hoc retrieval, recommender systems, multi-media search, and even conversational systems that generate ...
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: 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: 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: 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: 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: 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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