Machine Learning-Assisted Multifunctional Environmental Sensing Based on a Piezoelectric Cantilever
Author:
Affiliation:
1. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, Zhejiang 310027, P. R. China
2. Faculty of Engineering and Environment, University of Northumbria, Newcastle upon Tyne NE1 8ST, U.K.
Funder
Engineering and Physical Sciences Research Council
Royal Society
National Natural Science Foundation of China
Natural Science Foundation of Zhejiang Province
Publisher
American Chemical Society (ACS)
Subject
Fluid Flow and Transfer Processes,Process Chemistry and Technology,Instrumentation,Bioengineering
Link
https://pubs.acs.org/doi/pdf/10.1021/acssensors.2c01423
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