DecSolNet: A noise resistant missing information recovery framework for daily satellite NO2 columns
Sign Up to like & getrecommendations! Published in 2021 at "Atmospheric Environment"
DOI: 10.1016/j.atmosenv.2020.118143
Abstract: Abstract A novel statistical method (hereafter referred to as DecSolNet) for reconstructing satellite NO2 columns is introduced. The method has been developed and evaluated by comparing its performance with four benchmark models in three scenarios.… read more here.
Keywords: decsolnet noise; decsolnet; benchmark models; noise resistant ... See more keywords
Noise resistant synchronization and collective rhythm switching in a model of animal group locomotion
Sign Up to like & getrecommendations! Published in 2022 at "Royal Society Open Science"
DOI: 10.1098/rsos.211908
Abstract: Biology is suffused with rhythmic behaviour, and interacting biological oscillators often synchronize their rhythms with one another. Colonies of some ant species are able to synchronize their activity to fall into coherent bursts, but models… read more here.
Keywords: noise resistant; noise; synchronization collective; resistant synchronization ... See more keywords
Convolutional Neural Network (CNN)-Based Fast Back Projection Imaging With Noise-Resistant Capability
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3004860
Abstract: We propose and demonstrate a convolutional neural network (CNN)-based fast back projection (FBP) imaging method, which has noise-resistant capability in strong noise conditions. In this method, the desired high-resolution image is constructed from a low-resolution… read more here.
Keywords: back projection; cnn based; fbp imaging; noise ... See more keywords
The Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3206958
Abstract: The fast execution speed and energy efficiency of analog hardware have made them a strong contender for deploying deep learning models at the edge. However, there are concerns about the presence of analog noise which… read more here.
Keywords: batchnorm; noise resistant; deep learning; learning models ... See more keywords
Noise-Resistant Spectral Features for Retrieving Foliar Chemical Parameters
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2017.2713039
Abstract: Foliar chemical constituents are important indicators for understanding vegetation growing status and ecosystem functionality. Provided the noncontact and nondestructive traits, the hyperspectral analysis is a superior and efficient method for deriving these parameters. In practice,… read more here.
Keywords: chemical parameters; spectral features; noise resistant; foliar chemical ... See more keywords