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: 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: 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: Obstacle avoidance for autonomousaerial vehicles like quadrotors is a popular research topic. Most existing research focuses only on static environments, and obstacle avoidance in ...
Abstract: Multimodal data fusion can provide valuable and diverse information for remote sensing image segmentation. However, different modal data have different feature distributions, which causes ...
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: 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: Droop-controlled inverters reduce transient and steady-state frequency deviations (FDs) by providing frequency regulation (FR) power proportional to the FD during primary FR. However, with ...
Collaboration of Dehazing and Object Detection Tasks: A Multitask Learning Framework for Foggy Image
Abstract: Under foggy conditions, the atmospheric scattering effect diminishes the illumination intensity in images, causing a decline in the contrast of remote sensing images, which impacts the ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=19 ...
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