Additional file 1 of Determining mosquito age using surface-enhanced Raman spectroscopy and artificial neural networks: insights into the influence of origin and sex
Additional file 1: Figure S1. Sex classification of mosquitoes. Figure S2. Origin classification of mosquitoes. Table S1. Predicted age distribution for CA and TH strain mosquito test samples using ANN model. Table S2. Predicted age distribution for CA-origin mosquito test samples using non-ANN model. Table S3. Predicted age distribution for TH-origin mosquito test samples using non-ANN model. Table S4. Predicted age distribution for CA- and TH-origin mosquito test samples using non-ANN model
Institutions
- Georgia Institute of Technology (US)
- Cornell University (US)
- University of Massachusetts Amherst (US)
- University of Massachusetts System (US)
- University of California, Davis (US)
Publication Details
- Journal
- Figshare
- Published
- 2025-01-01
- DOI
- https://doi.org/10.6084/m9.figshare.29288390.v1
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00