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Agricultural and Forest Meteorology|August 25, 2022
Real-time automatic detection of starch particles in ambient airBranko Šikoparija, Predrag Matavulj, Gordan Mimić, et al.
The Science of the Total Environment|March 3, 2022
Why should we care about high temporal resolution monitoring of bioaerosols in ambient air?Matt Smith, Predrag Matavulj, Gordan Mimić, et al.
The Science of the Total Environment|August 25, 2022
Integration of reference data from different Rapid-E devices supports automatic pollen detection in more locationsPredrag Matavulj, Antonella Cristofori, Fabiana Cristofolini, et al.
Scientific Reports|February 24, 2023
Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopySanja Brdar, Marko Panić, Predrag Matavulj, et al.
Aerobiologia|June 23, 2025
Advancing automated identification of airborne fungal spores: guidelines for cultivation and reference dataset creationNicolas Bruffaerts, Elias Graf, Predrag Matavulj, et al.
The Science of the Total Environment|December 30, 2022
Towards European automatic bioaerosol monitoring: Comparison of 9 automatic pollen observational instruments with classic Hirst-type trapsJosé M Maya-Manzano, Fiona Tummon, Reto Abt, et al.
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