Efficient generation of HPLC and FTIR data for quality assessment using time series generation model: a case study on Tibetan medicine Shilajit
This study offers a novel and effective approach for researching medicinal materials with small sample sizes, and addresses the limitations of improving model performance through data augmentation strategies.
Authors
- Rong Ding (ORCID: https://orcid.org/0000-0002-1555-9523)
- Shiqi He
- Xuemei Wu (ORCID: https://orcid.org/0000-0001-9289-7115)
- Ping Chen (ORCID: https://orcid.org/0000-0002-9940-4528)
- Liwen Zhong
- Rui Gu (ORCID: https://orcid.org/0000-0001-8219-1960)
Institutions
- Chengdu University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2024-11-18
- DOI
- https://doi.org/10.3389/fphar.2024.1503508
- Citations
- 3
- Primary Topic
- Humic Substances and Bio-Organic Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.00
Funders
- National Natural Science Foundation of China