An effective integrated genetic programming and neural network model for electronic nose calibration of air pollution monitoring application
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07129-0.pdf
Reference78 articles.
1. Völgyesi P, Nádas A, Koutsoukos X, Lédeczi Á (2008) Air Quality Monitoring with SensorMap. In: 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008). IEEE, pp 529–530
2. Al-Janabi S, Alkaim A, Al-Janabi E et al (2021) Intelligent forecaster of concentrations (PM2.5, PM10, NO2, CO, O3, SO2) caused air pollution (IFCsAP). Neural Comput Appl 33(21):14199–14229. https://doi.org/10.1007/s00521-021-06067-7
3. Spinelle L, Gerboles M, Villani MG et al (2015) Field calibration of a cluster of low-cost available sensors for air quality monitoring. Part A: Ozone and nitrogen dioxide. Sensors Actuators B Chem 215:249–257. https://doi.org/10.1016/j.snb.2015.03.031
4. Amuthadevi C, Vijayan DS, Ramachandran V (2021) Development of air quality monitoring (AQM) models using different machine learning approaches. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-020-02724-2
5. He J, Xu L, Wang P, Wang Q (2017) A high precise E-nose for daily indoor air quality monitoring in living environment. Integration 58:286–294. https://doi.org/10.1016/j.vlsi.2016.12.010
Cited by 13 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. Stacked ensemble learning based on deep transfer learning models for food ingredient classification and food quality determination;Neural Computing and Applications;2024-07-30
2. Self-supervised air quality estimation with graph neural network assistance and attention enhancement;Neural Computing and Applications;2024-04-01
3. Moisture content online detection system based on multi-sensor fusion and convolutional neural network;Frontiers in Plant Science;2024-03-04
4. Research of low-cost air quality monitoring models with different machine learning algorithms;Atmospheric Measurement Techniques;2024-01-15
5. Electronic Noses;Reference Module in Materials Science and Materials Engineering;2024
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