Machine learning constructs color features to accelerate development of long-term continuous water quality monitoring-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Machine learning constructs color features to accelerate development of long-term continuous water quality monitoring

Published:2024-01 Issue: Volume:461 Page:132612
ISSN:0304-3894
Container-title:Journal of Hazardous Materials
language:en
Short-container-title:Journal of Hazardous Materials

Author:

Zhang Mengyuan,Huang Yanquan,Xie Dongsheng,Huang Renfeng,Zeng Gongchang,Liu Xueming,Deng Hong,Wang Haiying,Lin Zhang

Funder

National Key Research and Development Program of China

Guangdong Provincial Applied Science and Technology Research and Development Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference33 articles.

1. Forward-looking roadmaps for long-term continuous water quality monitoring: bottlenecks, innovations, and prospects in a critical review;Huang;Environ Sci Technol,2022

2. Microbial potentiometric sensor: A new approach to longstanding challenges;Burge;Sci Total Environ,2020

3. Detection of heavy metal ions in drinking water using a high-resolution differential surface plasmon resonance sensor;Forzani;Environ Sci Technol,2005

4. Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools;Saboe;Sci Total Environ,2021

5. Selective fluorescence sensor based on ion-imprintedpolymer-modified quantum dots for trace detection of Cr(VI)in aqueous solution;Zhang;Anal. and Bioanal. Chem,2019

Cited by 7 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. Evaluation of LoRa Network Performance for Water Quality Monitoring Systems;Applied Sciences;2024-08-14

2. Construction of an antidepressant priority list based on functional, environmental, and health risks using an interpretable mixup-transformer deep learning model;Journal of Hazardous Materials;2024-08

3. Bibliometric analysis of artificial intelligence in wastewater treatment: Current status, research progress, and future prospects;Journal of Environmental Chemical Engineering;2024-08

4. Overcoming barriers and embracing advances: Nanosensor implementation for practical water contaminant surveillance;One Earth;2024-08

5. Combination of Machine Learning and RGB Sensors to Quantify and Classify Water Turbidity;Chemosensors;2024-02-24

同舟云学术

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