Super-resolution reconstruction of noisy gas-mixture absorption spectra using deep learning

标题
Super-resolution reconstruction of noisy gas-mixture absorption spectra using deep learning
作者
关键词
IR absorption spectra, Machine learning, Super-resolution reconstruction, Resolution improving, Deep learning, Multilayered perceptron, Convolutional neural networks, Ensemble Learning
出版物
出版商
Elsevier BV
发表日期
2022-05-27
DOI
10.1016/j.jqsrt.2022.108278

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started