Automatic Harmful Gas Detection Using Electronic Nose Technology-Reference-Cited by-同舟云学术

Automatic Harmful Gas Detection Using Electronic Nose Technology

Published:2021-11-28 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
language:
Short-container-title:

Author:

Illahi Ana Antoniette C.¹,Dadios Elmer P.¹,Bandala Argel A.¹,Vicerra Ryan Rhay P.¹,Sybingco Edwin¹

Affiliation:

1. De La Salle University (DLSU),Gokongwei College of Engineering,2401 Taft Avenue,Manila,Philippines,0922

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9731800/9731833/09732049.pdf?arnumber=9732049

Reference8 articles.

1. Gas Monitoring Using GSM;sahu;International Journal for Research in Applied Science & Engineering Technology (IJRASET),2017

2. Toxic gas detection and monitoring utilizing internet of things;chalasani;International Journal of Civil Engineering and Technology,2017

3. Effects of different adsorbent on methane reduction on a garbage bin using MQ4 Gas Sensor

4. Vehicle Pollution Monitoring, Control and Challan System Using MQ2 Sensor Based on Internet of Things

5. IOT based Air Quality Monitoring System Using MQ135 and MQ7 with Machine Learning Analysis. Scalable Computing: Practice and Experience;kumar sai,2019

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. E-Nose-Driven Advancements in Ammonia Gas Detection: A Comprehensive Review from Traditional to Cutting-Edge Systems in Indoor to Outdoor Agriculture;Sustainability;2023-07-27

2. Development of an Electronic Nose for Harmful Gases with Prediction Modeling Using Machine Learning;Journal of Advances in Information Technology;2023

3. BombNose: A Multiple Bomb-Related Gas Prediction Model Using Machine Learning with Electronic Nose Sensor Substitution Technique;Journal of Advanced Computational Intelligence and Intelligent Informatics;2022-09-20