Classification and Concentration Predictions of Volatile Organic Compounds Using an Electronic Nose Based on XGBoost-Random Forest Algorithms-Reference-Cited by-同舟云学术

Classification and Concentration Predictions of Volatile Organic Compounds Using an Electronic Nose Based on XGBoost-Random Forest Algorithms

Published:2024-01-01 Issue:1 Volume:24 Page:671-678
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Ni Wangze¹,Wang Tao¹^ORCID,Wu Yu²,Chen Xiyu¹,Cai Wei³,Zeng Min¹^ORCID,Yang Jianhua¹^ORCID,Hu Nantao¹,Yang Zhi¹^ORCID

Affiliation:

1. Department of Micro/Nano Electronics, School of Electronic Information and Electrical Engineering, Key Laboratory of Thin Film and Microfabrication (Ministry of Education), Institute of Marine Equipment, Shanghai Jiao Tong University, Shanghai, China

2. Shanghai Marine Diesel Engine Research Institute, Shanghai, China

3. Zhoushan Field Scientific Observation and Research Station for Marine Geo-Hazards, China Geological Survey, Qingdao, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Shanghai

Shanghai Sailing Program

Oceanic Interdisciplinary Program of Shanghai Jiao Tong University

Scientific Research Fund of Second Institute of Oceanography, Ministry of Natural Resources of P. R. China

Startup Fund for Youngman Research at Shanghai Jiao Tong University

Publisher