Deep Learning Approach to Estimate Relative Humidity Contribution in VOC Response of LCM-Graphene Oxide-Based VOC Sensors-Reference-Cited by-同舟云学术

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Deep Learning Approach to Estimate Relative Humidity Contribution in VOC Response of LCM-Graphene Oxide-Based VOC Sensors

Published:2024-04-01 Issue:7 Volume:24 Page:9718-9725
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Lim Yun Mun¹^ORCID,Leong Ainan¹,Yap Keenan Zhihong¹^ORCID,Swamy Varghese²^ORCID,Ramakrishnan Narayanan¹^ORCID

Affiliation:

1. Department of Electrical and Robotics Engineering, School of Engineering, Micro and Nano Devices Laboratory, Monash University Malaysia, Bandar Sunway, Malaysia

2. Department of Mechanical Engineering, School of Engineering, Monash University Malaysia, Bandar Sunway, Malaysia

Funder

Ministry of Higher Education Malaysia under Fundamental Research Grant Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10487994/10431675.pdf?arnumber=10431675

Reference32 articles.

1. Full-scale practice of domestic wastewater source separation and collection in a semicentralized treatment system: a case study

2. The pollution conveyed by urban runoff: A review of sources

3. Pollution loads in urban runoff and sanitary wastewater

4. New trends in removing heavy metals from industrial wastewater

5. Volatile Organic Compounds: Do they present a risk to our health?

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