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   Articles with "noise resistant" as a keyword



DecSolNet: A noise resistant missing information recovery framework for daily satellite NO2 columns

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recommendations! 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

Thermal-noise-resistant entanglement and steering via dark-mode engineering in multimode optomechanical system

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recommendations! Published in 2025 at "Physica Scripta"

DOI: 10.1088/1402-4896/adb5d5

Abstract: We propose a scheme for generating thermal-noise-resistant entanglement and Einstein-Podolsky-Rosen (EPR) steering in a multimode optomechanical system by breaking the dark mode effect. Here, the dark mode is broken by coupling an auxiliary cavity to… read more here.

Keywords: noise resistant; dark mode; entanglement; thermal noise ... See more keywords

Noise resistant synchronization and collective rhythm switching in a model of animal group locomotion

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recommendations! 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

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recommendations! 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

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recommendations! 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

BACFuse: Toward Noise-Resistant BAC Detection Based on Multimodal Fusion on Smartphone

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3533021

Abstract: Drunk-driving is an important factor causing road traffic accidents and deaths, which deserves a lot of research. However, most current methods for detecting drunk-driving depend on customized hardware or require users’ active participation, making it… read more here.

Keywords: detection; bac; drunk; drunk driving ... See more keywords

Noise-Resistant Structural Damage Identification via Multisensor Time–Frequency Feature Fusion and Interpretable Multiscale Pooling-Free Network

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3567959

Abstract: To address reliability degradation in structural damage identification (SDI) under complex operational noise interference (e.g., industrial machinery environments and bridge traffic vibrations), this study proposes a noise-resistant diagnostic framework integrating multisensor time–frequency feature engineering and… read more here.

Keywords: feature; noise resistant; time frequency; noise ... See more keywords

Noise-Resistant Spectral Features for Retrieving Foliar Chemical Parameters

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recommendations! 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