A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes
Work
Year: 2021
Type: article
Source: Information Sciences
Institutions Changsha University of Science and Technology, Central South University, University of Alberta
Cites: 46
Cited by: 36
Related to: 10
FWCI: 4.22
Citation percentile (by year/subfield): 100
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Industry, innovation and infrastructure
Open Access status: closed
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, National Key Research and Development Program of China
Grant IDS U1911401, 6210021657, 61590921, 2018AAA0101603