• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

更正:使用机器学习预测从红外光谱确定土壤粒度分布:方法与建模

Correction: Determining soil particle-size distribution from infrared spectra using machine learning predictions: Methodology and modeling.

作者信息

Jeanne Parent Elizabeth, Parent Serge-Étienne, Parent Léon Etienne

出版信息

PLoS One. 2022 Aug 16;17(8):e0273277. doi: 10.1371/journal.pone.0273277. eCollection 2022.

DOI:10.1371/journal.pone.0273277
PMID:35972950
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9380913/
Abstract

[This corrects the article DOI: 10.1371/journal.pone.0233242.].

摘要

[本文更正了文章的数字对象标识符:10.1371/journal.pone.0233242。]

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4113/9380913/788d167cad20/pone.0273277.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4113/9380913/788d167cad20/pone.0273277.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4113/9380913/788d167cad20/pone.0273277.g001.jpg

相似文献

1
Correction: Determining soil particle-size distribution from infrared spectra using machine learning predictions: Methodology and modeling.更正:使用机器学习预测从红外光谱确定土壤粒度分布:方法与建模
PLoS One. 2022 Aug 16;17(8):e0273277. doi: 10.1371/journal.pone.0273277. eCollection 2022.
2
Determining soil particle-size distribution from infrared spectra using machine learning predictions: Methodology and modeling.利用机器学习预测从红外光谱确定土壤颗粒大小分布:方法与建模。
PLoS One. 2021 Jul 20;16(7):e0233242. doi: 10.1371/journal.pone.0233242. eCollection 2021.
3
Correction: Use of inverse modeling to evaluate CENTURY-predictions for soil carbon sequestration in US rain-fed corn production systems.更正:使用逆模型评估美国雨养玉米生产系统中土壤碳固存的CENTURY预测。
PLoS One. 2017 Mar 6;12(3):e0173729. doi: 10.1371/journal.pone.0173729. eCollection 2017.
4
Correction: Predictive modeling for odor character of a chemical using machine learning combined with natural language processing.更正:结合机器学习与自然语言处理对化学品气味特征进行预测建模。
PLoS One. 2018 Dec 5;13(12):e0208962. doi: 10.1371/journal.pone.0208962. eCollection 2018.
5
Correction: In Situ Measurement of Some Soil Properties in Paddy Soil Using Visible and Near-Infrared Spectroscopy.更正:利用可见和近红外光谱原位测量水稻土的一些土壤性质
PLoS One. 2016 Jul 14;11(7):e0159785. doi: 10.1371/journal.pone.0159785. eCollection 2016.
6
Correction: Designing machine learning workflows with an application to topological data analysis.更正:设计机器学习工作流程及其在拓扑数据分析中的应用
PLoS One. 2020 Feb 26;15(2):e0229821. doi: 10.1371/journal.pone.0229821. eCollection 2020.
7
Correction: Machine learning in internet financial risk management: A systematic literature review.更正:互联网金融风险管理中的机器学习:一项系统的文献综述。
PLoS One. 2024 Jun 27;19(6):e0306364. doi: 10.1371/journal.pone.0306364. eCollection 2024.
8
Correction: The efficacy of machine learning models in lung cancer risk prediction with explainability.更正:具有可解释性的机器学习模型在肺癌风险预测中的疗效。
PLoS One. 2024 Sep 12;19(9):e0310604. doi: 10.1371/journal.pone.0310604. eCollection 2024.
9
Correction: Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models.更正:系统性红斑狼疮中侵蚀性关节炎的生物标志物:机器学习模型的应用
PLoS One. 2019 Jan 30;14(1):e0211791. doi: 10.1371/journal.pone.0211791. eCollection 2019.
10
Correction: Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning.更正:利用数据挖掘和机器学习改进基于卫星自动识别系统的捕鱼模式检测
PLoS One. 2016 Sep 22;11(9):e0163760. doi: 10.1371/journal.pone.0163760. eCollection 2016.

本文引用的文献

1
Determining soil particle-size distribution from infrared spectra using machine learning predictions: Methodology and modeling.利用机器学习预测从红外光谱确定土壤颗粒大小分布:方法与建模。
PLoS One. 2021 Jul 20;16(7):e0233242. doi: 10.1371/journal.pone.0233242. eCollection 2021.