Inversion of PM2.5 atmospheric refractivity profile based on AlexNet model from the perspective of electromagnetic wave propagation-Reference-Cited by-同舟云学术

Inversion of PM2.5 atmospheric refractivity profile based on AlexNet model from the perspective of electromagnetic wave propagation

Published:2020-02-10 Issue:30 Volume:27 Page:37333-37346
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Guo ChengJun^ORCID,Xu YaLan,Tian Zhong

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s11356-020-07703-w.pdf

Reference21 articles.

1. Feng M, Chen D, Wang X (2018) Classification of fabric patterns image based on improved log-AlexNet. 2018 11th CISP-BMEI, 1–6

2. He K, Yang F, Ma Y et al (2001) The characteristics of PM2.5 in Beijing, China[J]. Atmos Environ 35(29):4959–4970

3. Li JM, Shu TT, Lin LK et al (2013) An improved linear regression algorithm for inverting atmospheric refractive index by microwave radiometer [J]. JoRS 28(2):316–320

4. Li ZF, Yang HL, Wang YL et al (2015) A new method for modeling atmospheric refractive index profiles [J]. HPLAPB 27(10):103255 (1) -103255 (6)

5. Lin LK (2011) Study on inversion of ground-based atmospheric refractive index profiles using GNSS signals [D]. Nanjing University of Posts and Telecommunications, Nanjing

Cited by 4 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. Forecasting Continuous Air Pollution with Cloud-Based Big Data Platform using Spatial-Temporal Visualization;2023 IEEE 8th International Conference for Convergence in Technology (I2CT);2023-04-07

2. Non-Invasive Machine Learning-Based Classification of Bone Health;Traitement du Signal;2022-11-30

3. Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture;Journal of Computer Science and Technology;2022-03-31

4. An ensemble learning based hybrid model and framework for air pollution forecasting;Environmental Science and Pollution Research;2020-07-03