Mwanga, E. P. et al. (2024) Rapid assessment of the blood-feeding histories of wild-caught malaria mosquitoes using mid-infrared spectroscopy and machine learning. Malaria Journal, (Accepted for Publication)
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| Item Type: | Articles |
|---|---|
| Keywords: | Anopheles, human blood index machine learning, transfer learning, VectorSphere. |
| Status: | Accepted for Publication |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Baldini, Dr Francesco and Wynne, Professor Klaas and Mshani, Mr Issa and Siria, Doreen Josen and Mwinyi, Sophia Hussein Ally and Babayan, Dr Simon and Gonzalez Jimenez, Dr Mario and Mwanga, Emmanuel |
| Authors: | Mwanga, E. P., Mchola, I. S., Makala, F. E., Mshani, I. H., Siria, D. J., Mwinyi, S. H., Abbasi, S., Seleman, G., Mgaya, J. N., Gonzalez Jimenez, M., Wynne, K., Sikulu-Lord, M. T., Selvaraj, P., Okumu, F. O., Baldini, F., and Babayan, S. |
| College/School: | College of Medical Veterinary and Life Sciences College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine College of Science and Engineering > School of Chemistry |
| Journal Name: | Malaria Journal |
| Publisher: | BioMed Central |
| ISSN: | 1475-2875 |
| ISSN (Online): | 1475-2875 |
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