Multi-speciation using a tunable laser and deep neural networks

Mohamed Sy, Mhanna Mhanna, Aamir Farooq*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Selective and simultaneous multi-speciation during high-temperature fuel pyrolysis was achieved with a single 3.3 urn DFB-ICL. The approach is based on wavelength tuning and deep denoising autoencoders (DDAEs) to distinguish the broadband absorbance spectra of evolving species during fuel pyrolysis in a shock tube.

Original languageEnglish (US)
Title of host publication2023 Conference on Lasers and Electro-Optics, CLEO 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781957171258
StatePublished - 2023
Event2023 Conference on Lasers and Electro-Optics, CLEO 2023 - San Jose, United States
Duration: May 7 2023May 12 2023

Publication series

Name2023 Conference on Lasers and Electro-Optics, CLEO 2023

Conference

Conference2023 Conference on Lasers and Electro-Optics, CLEO 2023
Country/TerritoryUnited States
CitySan Jose
Period05/7/2305/12/23

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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