Selective BTEX Measurements Using Deep Neural Networks

Mhanna Mhanna; Mohamed Sy; Aamir Farooq

doi:10.1364/cleo_at.2021.jth3a.49

Selective BTEX Measurements Using Deep Neural Networks

Mhanna Mhanna, Mohamed Sy, Aamir Farooq

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English (US)
Title of host publication	Conference on Lasers and Electro-Optics
Publisher	IEEE
ISBN (Print)	978-1-6654-4792-8
DOIs	https://doi.org/10.1364/cleo_at.2021.jth3a.49
State	Published - 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-11-03

Access to Document

10.1364/cleo_at.2021.jth3a.49

Cite this

@inproceedings{0a4af5fa0a3d4975b12e293654e623c0,

title = "Selective BTEX Measurements Using Deep Neural Networks",

abstract = "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.",

author = "Mhanna Mhanna and Mohamed Sy and Aamir Farooq",

note = "KAUST Repository Item: Exported on 2021-11-03",

year = "2021",

doi = "10.1364/cleo_at.2021.jth3a.49",

language = "English (US)",

isbn = "978-1-6654-4792-8",

booktitle = "Conference on Lasers and Electro-Optics",

publisher = "IEEE",

}

TY - GEN

T1 - Selective BTEX Measurements Using Deep Neural Networks

AU - Mhanna, Mhanna

AU - Sy, Mohamed

AU - Farooq, Aamir

N1 - KAUST Repository Item: Exported on 2021-11-03

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10754/673059

UR - https://ieeexplore.ieee.org/document/9573171/

U2 - 10.1364/cleo_at.2021.jth3a.49

DO - 10.1364/cleo_at.2021.jth3a.49

M3 - Conference contribution

SN - 978-1-6654-4792-8

BT - Conference on Lasers and Electro-Optics

PB - IEEE

ER -

Selective BTEX Measurements Using Deep Neural Networks

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this