Ghosh, S;
Dissanayake, K;
Sun, T;
Grattan, KTV;
Azizur Rahman, BM;
(2021)
Calibration of Fiber Grating Heavy Metal Ion Sensor Using Artificial Neural Network.
In:
Conference on Lasers and Electro-Optics OSA Technical Digest (Optical Society of America, 2021).
(pp. JW1A.25).
OSA Publishing: San Jose, California United States.
Preview |
Text
Meetings-Style-Guide-CLEO_02122020.pdf - Accepted Version Download (551kB) | Preview |
Abstract
An ultrasensitive hybrid fiber grating sensor has been designed and functionalized with a novel nanocomposite material for selective detection of lead ions in water. Sensor performance is enhanced using an artificial neural network-based calibration process.
| Type: | Proceedings paper |
|---|---|
| Title: | Calibration of Fiber Grating Heavy Metal Ion Sensor Using Artificial Neural Network |
| Event: | CLEO: Applications and Technology 2021 |
| Dates: | 2021 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1364/cleo_at.2021.jw1a.25 |
| Publisher version: | https://doi.org/10.1364/CLEO_AT.2021.JW1A.25 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10134097 |
Archive Staff Only
 |
View Item |
