Machine learning based quantification of fuel-air equivalence ratio and pressure from laser-induced plasma spectroscopy

Title
Machine learning based quantification of fuel-air equivalence ratio and pressure from laser-induced plasma spectroscopy
Authors
Keywords
-
Journal
OPTICS EXPRESS
Volume -, Issue -, Pages -
Publisher
The Optical Society
Online
2021-05-16
DOI
10.1364/oe.425096

Ask authors/readers for more resources

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Find the ideal target journal for your manuscript

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

Search