Convolutional neural network with near-infrared spectroscopy for plastic discrimination
Author:
Publisher
Springer Science and Business Media LLC
Subject
Environmental Chemistry
Link
https://link.springer.com/content/pdf/10.1007/s10311-021-01240-9.pdf
Reference36 articles.
1. Acquarelli J, van Laarhoven T, Gerretzen J, Tran TN, Buydens LMC, Marchiori E (2017) Convolutional neural networks for vibrational spectroscopic data analysis. Anal Chim Acta 954:22–31. https://doi.org/10.1016/j.aca.2016.12.010
2. Alassali A, Fiore S, Kuchta K (2018) Assessment of plastic waste materials degradation through near infrared spectroscopy. Waste Manag 82:71–81. https://doi.org/10.1016/j.wasman.2018.10.010
3. Becker W, Sachsenheimer K, Klemenz M (2017) Detection of black plastics in the middle infrared spectrum (MIR) using photon up-conversion technique for polymer recycling purposes. Polymers 9:9. https://doi.org/10.3390/polym9090435
4. Bevilacqua M, Marini F (2014) Local classification: locally weighted–partial least squares-discriminant analysis (LW–PLS-DA). Anal Chim Acta 838:20–30. https://doi.org/10.1016/j.aca.2014.05.057
5. Camacho W, Karlsson S (2001) NIR, DSC, and FTIR as quantitative methods for compositional analysis of blends of polymers obtained from recycled mixed plastic waste. Polym Eng Sci 41:1626–35. https://doi.org/10.1002/pen.10860
Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Near-infrared-based quality control of plastic pre-concentrates in lightweight-packaging waste sorting plants;Resources, Conservation and Recycling;2024-02
2. Accurate determination of polyethylene (PE) and polypropylene (PP) content in polyolefin blends using machine learning-assisted differential scanning calorimetry (DSC) analysis;Polymer Testing;2024-02
3. Quantitative Analysis of Near-Infrared Spectroscopy Using the BEST-1DConvNet Model;Processes;2024-01-26
4. BACNN: Multi-scale feature fusion-based bilinear attention convolutional neural network for wood NIR classification;Journal of Forestry Research;2023-12-06
5. Combining spectroscopy and machine learning for rapid identification of plastic waste: Recent developments and future prospects;Journal of Cleaner Production;2023-12
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3