Research on image reconstruction algorithms based on autoencoder neural network of Restricted Boltzmann Machine (RBM)
Sign Up to like & getrecommendations! Published in 2021 at "Flow Measurement and Instrumentation"
DOI: 10.1016/j.flowmeasinst.2021.102009
Abstract: Abstract Aiming at the problem of low quality in image reconstruction of traditional image reconstruction algorithm of electromagnetic tomography(EMT), an EMT image reconstruction algorithm based on autoencoder neural network of Restricted Boltzmann Machine (RBM) is… read more here.
Keywords: image; network; autoencoder neural; neural network ... See more keywords
An autoencoder neural network integrated into gravitational-wave burst searches to improve the rejection of noise transients
Sign Up to like & getrecommendations! Published in 2023 at "Classical and Quantum Gravity"
DOI: 10.1088/1361-6382/acd981
Abstract: The gravitational-wave (GW) detector data are affected by short-lived instrumental or terrestrial transients, called ‘glitches’, which can simulate GW signals. Mitigation of glitches is particularly difficult for algorithms which target generic sources of short-duration GW… read more here.
Keywords: neural network; noise; autoencoder neural; gravitational wave ... See more keywords
Reconstructing Cloud-Contaminated Multispectral Images With Contextualized Autoencoder Neural Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2017.2777886
Abstract: The accurate reconstruction of areas obscured by clouds is among the most challenging topics for the remote sensing community since a significant percentage of images archived throughout the world are affected by cloud covers which… read more here.
Keywords: image; multispectral images; reconstructing cloud; autoencoder neural ... See more keywords
Method-Induced Errors in Fractal Analysis of Lung Microscopic Images Segmented with the Use of HistAENN (Histogram-Based Autoencoder Neural Network)
Sign Up to like & getrecommendations! Published in 2018 at "Applied Sciences"
DOI: 10.3390/app8122356
Abstract: The designing of Computer-Aided Diagnosis (CADx) is necessary to improve patient condition analysis and reduce human error. HistAENN (Histogram-based Autoencoder Neural Network, the first hierarchy level) and the fractal-based estimator (the second hierarchy level) are… read more here.
Keywords: histogram based; analysis; histaenn histogram; method ... See more keywords