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: 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: 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 ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=34 ...

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 ...

Abstract: For three-dimensional (3D) imaging based on fringe projection profilometry (FPP), maximum fringe frequency selection and fringe frequencies allocation have a significant impact on the ...

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: 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 ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=19 ...

Abstract: In change detection, the pseudovariations in the visual features of remote sensing (RS) images are attributed to imaging conditions, lighting, seasonal changes, atmospheric interference, and ...