Deep convolutional neural networks for aged microplastics identification by Fourier transform infrared spectra classification-Reference-Cited by-同舟云学术

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Deep convolutional neural networks for aged microplastics identification by Fourier transform infrared spectra classification

Published:2024-02 Issue: Volume:913 Page:169623
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Zeng Ganning,Ma Yuan,Du Mingming,Chen Tiansheng,Lin Liangyu,Dai Mengzheng,Luo Hongwei,Hu Lingling,Zhou Qian,Pan Xiangliang

Funder

Zhejiang Province Natural Science Foundation

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference35 articles.

1. Examination of the ocean as a source for atmospheric microplastics;Allen;PLoS One,2020

2. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions;Alzubaidi;J. Big Data,2021

3. Performance evaluation of convolutional neural network for hand gesture recognition using EMG;Asif;Sensors (Basel),2020

4. Aging of microplastics increases their adsorption affinity towards organic contaminants;Bhagat;Chemosphere,2022

5. Plastic material identification with spectroscopic near infrared imaging and artificial neural networks;Broek;Anal. Chim. Acta,1998

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