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Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy
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Title: | Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy | Authors: | Brdar, Sanja ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Issue Date: | 2023 | Publication: | Scientific Reports | ISSN: | 2045-2322![]() ![]() |
Publisher: | Nature Research | Type: | Article | Collation: | vol. 13 br. 1 str. 1-14 | DOI: | 10.1038/s41598-023-30064-6 | WoS-ID: | 000942280900001 | Scopus-ID: | 2-s2.0-85149259936 | PMID: | 36828900 | PMCID: | PMC9958198 | URI: | http://rimsi.imsi.bg.ac.rs/handle/123456789/1799 https://enauka.gov.rs/handle/123456789/604243 |
Project: | BREATHE - Real-Time Detection and Quantification of Bioaerosols Relevant for Human and Plant Health Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200358 (BioSense institut) |
M-category: | 21M21 |
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