A Bearing Signal Adaptive Denoising Technique Based on Manifold Learning and Genetic Algorithm
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3403845
Abstract: Signal denoising can be effectively achieved by manifold learning which is a nonlinear technique for reducing dimensionality. However, denoising results based on manifold learning are not only sensitive to relevant parameters, but also there is… read more here.
Keywords: technique based; based manifold; manifold learning; genetic algorithm ... See more keywords
Geodesic Normal Coordinate-Based Manifold Filtering for Target Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3183432
Abstract: Recently, the matrix information geometry (MIG) detector, which characterizes sample data as a Hermitian positive definite (HPD) matrix located on the HPD manifold, was rapidly developed and demonstrated extraordinary performance in numerous applications, especially in… read more here.
Keywords: based manifold; clutter; normal coordinate; manifold filter ... See more keywords
Robust Beamforming for RIS-Aided Communications: Gradient-Based Manifold Meta Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2024.3435023
Abstract: Reconfigurable intelligent surface (RIS) has become a promising technology to realize the programmable wireless environment via steering the incident signal in fully customizable ways. However, a major challenge in RIS-aided communication systems is the simultaneous… read more here.
Keywords: manifold meta; ris aided; based manifold; gradient based ... See more keywords
Few-shot classification based on manifold metric learning
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.33.1.013026
Abstract: Abstract. Few-shot classification aims to classify samples with a limited quantity of labeled training data, and it can be widely applied in practical scenarios such as wastewater treatment plants and healthcare. Compared with traditional methods,… read more here.
Keywords: classification; manifold metric; classification based; shot classification ... See more keywords
Chaotic physical security strategy based on manifold learning-assisted GANs for SDM-OFDM-PONs.
Sign Up to like & getrecommendations! Published in 2022 at "Optics letters"
DOI: 10.1364/ol.453777
Abstract: In this paper, we propose a high-security spatial division multiplexing orthogonal frequency division multiplexing passive optical network (SDM-OFDM-PON) encryption scheme based on manifold learning-assisted generative adversarial networks (MFGANs). The chaotic sequences generated by MFGANs are… read more here.
Keywords: learning assisted; manifold learning; sdm ofdm; based manifold ... See more keywords
Damage Indicators for Structural Monitoring of Fiber-Reinforced Polymer-Strengthened Concrete Structures Based on Manifold Invariance Defined on Latent Space of Deep Autoencoders
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15115897
Abstract: Deep learning approaches based on autoencoders have been widely used for structural monitoring. Traditional approaches of autoencoders based on reconstruction errors involve limitations, since they do not exploit their hierarchical nature, and only healthy data… read more here.
Keywords: space; concrete structures; based manifold; manifold invariance ... See more keywords