Q‐space imaging based on Gaussian radial basis function with Laplace regularization
Sign Up to like & getrecommendations! Published in 2024 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.30049
Abstract: To introduce the diffusion signal characteristics presented by spherical harmonics (SH) basis into the q‐space imaging method based on Gaussian radial basis function (GRBF) to robustly reconstruct ensemble average diffusion propagator (EAP) in diffusion MRI… read more here.
Keywords: radial basis; gaussian radial; basis; basis function ... See more keywords
Seismic vulnerability of above-ground storage tanks with unanchored support conditions for Na-tech risks based on Gaussian process regression
Sign Up to like & getrecommendations! Published in 2020 at "Bulletin of Earthquake Engineering"
DOI: 10.1007/s10518-020-00960-7
Abstract: This paper aims to investigate the seismic vulnerability of an existing unanchored steel storage tank ideally installed in a refinery in Sicily (Italy), along the lines of performance-based earthquake engineering. Tank performance is estimated by… read more here.
Keywords: storage; process regression; based gaussian; vulnerability ... See more keywords
A novel approach for solid particle erosion prediction based on Gaussian Process Regression
Sign Up to like & getrecommendations! Published in 2021 at "Wear"
DOI: 10.1016/j.wear.2020.203549
Abstract: Abstract Based on Gaussian Process Regression (GPR) method, a novel non-linear approach is adopted to predict solid particle erosion in standard elbows. Several data sets extracted from Computational Fluid Dynamics (CFD) results and experimental tests… read more here.
Keywords: particle erosion; erosion; solid particle; based gaussian ... See more keywords
An Efficient Gaussian Filter Based on Gaussian Symmetric Markov Random Field
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3191335
Abstract: This article presents a new image denoising algorithm that uses Gaussian Symmetric Markov random fields based on maximum a posteriori estimation. First, an image denoising model based on Gaussian Symmetric Markov random fields is built,… read more here.
Keywords: random field; symmetric markov; markov random; gaussian symmetric ... See more keywords
Trajectory plan for an ultra-short distance on-orbit service based on the Gaussian pseudo-spectral method
Sign Up to like & getrecommendations! Published in 2018 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2017.7510892
Abstract: Considering the ultra-short distance approaching plan of on-orbit service, the trajectory plan strategy based on the Gaussian pseudo-spectral method is researched. Given the target spinning, safety, fuel and maneuver factors, a model which contains a… read more here.
Keywords: pseudo spectral; orbit service; trajectory; based gaussian ... See more keywords
Edge Learning via Message Passing: Distributed Estimation Framework Based on Gaussian Mixture Model
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3432114
Abstract: To leverage distributed data communication and learning in sensor networks effectively, edge learning (EL) methods have garnered significant attention. In the realm of distributed sensor networks, achieving consensus estimation of interested variables stands as a… read more here.
Keywords: message passing; framework; estimation; framework based ... See more keywords
A Novel Multidimensional Statistics Denoising Algorithm Based on Gaussian Mixture Model for Photon-Counting LiDAR Data
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3430470
Abstract: The micropulse multibeam photon-counting laser altimeter significantly improves the sampling density along the orbit while introducing abundant noise. Therefore, noise removal is crucial for the subsequent applications of the photon-counting laser altimeter. This study proposes… read more here.
Keywords: photon; algorithm based; gaussian mixture; multidimensional statistics ... See more keywords
Few-Shot Radio Frequency Fingerprint Identification for UAVs Based on Gaussian Prototypical Network Model
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2025.3591973
Abstract: In recent years, Unmanned aerial vehicles (UAVs) have been widely used in a variety of fields, but the increasing number of UAVs also raise numerous privacy and security concerns. Therefore, the detection and management of… read more here.
Keywords: frequency fingerprint; fingerprint identification; radio frequency; model ... See more keywords
A Compressive Tracking Method Based on Gaussian Differential Graph and Weighted Cosine Similarity Metric
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2016.2603170
Abstract: This letter presents an extended compressive tracking algorithm to increase the stabilization and robustness in scale variation, rotation, and illumination variation. The features are extracted from the Gaussian differential graphs and taken as input signals… read more here.
Keywords: compressive tracking; tracking method; method based; differential graph ... See more keywords
SAR Ship Detection Based on Gaussian Probability and Eigenvalue Analysis
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2025.3571640
Abstract: Synthetic Aperture Radar (SAR) images are frequently used because they provide optimal image quality in all weather conditions. Nevertheless, SAR ship detection has two difficulties. One is coherent speckle noise, which raises false alarms and… read more here.
Keywords: analysis; ship detection; detection based; sar ship ... See more keywords
Transfer-Learning-Based Gaussian Mixture Model for Distributed Clustering.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3177242
Abstract: Distributed clustering based on the Gaussian mixture model (GMM) has exhibited excellent clustering capabilities in peer-to-peer (P2P) networks. However, more iterative numbers and communication overhead are required to achieve the consensus in existing distributed GMM… read more here.
Keywords: transfer; distributed clustering; transfer learning; mixture model ... See more keywords