Low-power adaptive sampling electronic nose system with a Radon transform-based convolutional neural network for optimized gas recognition
Year: 2024
Type: article
Source: Sensors and Actuators B Chemical
Authors: Zhuoheng Li, Tao Wang, Jianhua Yang, Yudi Zhu, Wangze Ni, Xiuwei Li, Hongyi Fang, Min Zeng, Nantao Hu, Zhi Yang
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
Funders: Center for High Performance Computing, Shanghai Jiao Tong University, Natural Science Foundation of Shanghai, National Natural Science Foundation of China, China Postdoctoral Science Foundation, Shanghai Jiao Tong University, Key Technologies Research and Development Program, National Key Research and Development Program of China
OpenAlex ID: W4403015306