Corrections to “Generating Multiple Distinct Feasible Solutions for MEMS Accelerometers Using Deep Learning”
Presents corrections to the paper, Corrections to “Generating Multiple Distinct Feasible Solutions for MEMS Accelerometers Using Deep Learning”.
Authors
- Daying Sun (ORCID: https://orcid.org/0000-0002-7193-9950)
- Xiong Cheng (ORCID: https://orcid.org/0000-0003-3770-1372)
- Xiaodong Huang (ORCID: https://orcid.org/0000-0003-0303-7821)
- Yiqi Zhou
- Wenhua Gu (ORCID: https://orcid.org/0000-0003-0695-2291)
- Ruikang K. Wang (ORCID: https://orcid.org/0000-0001-5169-8822)
- Pengfei Zhang (ORCID: https://orcid.org/0000-0003-2922-940X)
- Zhixiang Zhai (ORCID: https://orcid.org/0009-0000-2488-6684)
Institutions
- Nanjing University of Science and Technology (CN)
- Southeast University (CN)
Publication Details
- Journal
- IEEE Sensors Journal
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1109/jsen.2025.3528277
- Primary Topic
- Inertial Sensor and Navigation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities