Selective BTEX Measurements Using Deep Neural Networks

Mhanna Mhanna; Mohamed Sy; Aamir Farooq; IEEE

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Conference proceeding

Selective BTEX Measurements Using Deep Neural Networks

Mhanna Mhanna, Mohamed Sy, Aamir Farooq and IEEE

2021 Conference on Lasers and Electro-Optics (CLEO), pp.1-2

05/2021

Abstract

Absorption

Deep learning

Electrooptical waveguides

Lasers and electrooptics

Measurement by laser beam

Petrochemicals

Rubber industry

A laser sensor is developed for selective and simultaneous BTEX measurements. It is based on a DFB-ICL near 3.3 µm and deep neural networks (DNNs) to differentiate broad absorbance spectra of BTEX species.

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Details

Title: Selective BTEX Measurements Using Deep Neural Networks
Creators - without role: Mhanna Mhanna - King Abdullah University of Science and Technology
Mohamed Sy - King Abdullah University of Science and Technology
Aamir Farooq - King Abdullah University of Science and Technology
IEEE
Publication Details: 2021 Conference on Lasers and Electro-Optics (CLEO), pp.1-2
Publisher: OSA
Identifiers: 9943610408331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Conference proceeding