An Advanced Predictive Algorithm for Nanoparticle-Modified Resistive Ammonia Gas Sensor-Reference-Cited by-同舟云学术

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An Advanced Predictive Algorithm for Nanoparticle-Modified Resistive Ammonia Gas Sensor

Published:2023-11-09 Issue: Volume: Page:
ISSN:
Container-title:2023 12th International Conference on Awareness Science and Technology (iCAST)
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Author:

Lin Kun-Wei¹,Zheng Cheng-You¹,Liu I-Ping²,Chen Po-Lin³

Affiliation:

1. Chaoyang University of Technology,Dept. Computer Science and Information Engineering,Taichung,R.O.C

2. CPC Corporation,Green Technology Research Institute,Dept. Material Technology,Kaohsiung City,R.O.C

3. National Cheng-Kung University,Dept. Electrical Engineering,Tainan,R. O. C

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10359246/10359247/10359274.pdf?arnumber=10359274

Reference11 articles.

1. Amorphous IGZO Thin-Film Transistor Gate Driver in Array for Ultra-Narrow Border Displays

2. IEEE Open Journal of the Solid-State Circuits Society Special Section on Integrated Circuits and Systems Based on Thin-Film Transistors

3. Hydrogen detecting characteristics and an improved algorithm for data transmission of a palladium nanoparticle/amorphous InGaZnO thin film based sensor

4. Interface mechanisms involved in a-IGZO based dual gate ISFET pH sensor using Al2O3 as the top gate dielectric

5. Study of a platinum nanoparticle (Pt NP)/amorphous In-Ga-Zn-O (A-IGZO) thin-film-based ammonia gas sensor

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