Search Results - "Matavulj, Predrag"
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Manual and automatic quantification of airborne fungal spores during wheat harvest period
Published in Aerobiologia (01-06-2023)“…Due to the large diversity and quantity of fungal spores, such aerobiological studies are not so abundant and haven’t been done in Serbia so far. As the…”
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Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy
Published in Scientific reports (24-02-2023)“…Pollen monitoring have become data-intensive in recent years as real-time detectors are deployed to classify airborne pollen grains. Machine learning models…”
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Advanced CNN Architectures for Pollen Classification: Design and Comprehensive Evaluation
Published in Applied artificial intelligence (31-12-2023)“…Allergenic pollen affects the quality of life for over 30% of the European population. Since the treatment efficacy is highly related to the actual exposure to…”
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Interseasonal transfer learning for crop mapping using Sentinel-1 data
Published in International journal of applied earth observation and geoinformation (01-04-2024)“…Crop maps are highly desired information in modern agriculture as they enable possessors to manage their business in the most optimal way. Usually in remote…”
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Integration of reference data from different Rapid-E devices supports automatic pollen detection in more locations
Published in The Science of the total environment (10-12-2022)“…Pollen is the most common cause of seasonal allergies, affecting over 33 % of the European population, even when considering only grasses. Informing the…”
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Why should we care about high temporal resolution monitoring of bioaerosols in ambient air?
Published in The Science of the total environment (20-06-2022)“…This is the first time that atmospheric concentrations of individual pollen types have been recorded by an automatic sampler with 1-hour and sub-hourly…”
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Real-time automatic detection of starch particles in ambient air
Published in Agricultural and forest meteorology (15-08-2022)“…•Quantification of starch in ambient air by laser spectroscopy bioaerosol monitoring.•Insights into atmospheric processes via high temporal resolution…”
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RealForAll: real-time system for automatic detection of airborne pollen
Published in Enterprise information systems (04-05-2022)“…The aim of this paper is to describe a solution suitable for the automation of standard pollen information service (EN 16868:2019). We are describing the…”
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Towards European automatic bioaerosol monitoring: Comparison of 9 automatic pollen observational instruments with classic Hirst-type traps
Published in The Science of the total environment (25-03-2023)“…To benefit allergy patients and the medical practitioners, pollen information should be available in both a reliable and timely manner; the latter is only…”
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Automatic pollen recognition with the Rapid-E particle counter: the first-level procedure, experience and next steps
Published in Atmospheric measurement techniques (28-06-2019)“…Pollen-induced allergies are among the most prevalent non-contagious diseases, with about a quarter of the European population being sensitive to various…”
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Classification accuracy and compatibility across devices of a new Rapid-E+ flow cytometer
Published in Atmospheric measurement techniques (03-09-2024)“…The study evaluated a new model of a Plair SA airflow cytometer, Rapid-E+, and assessed its suitability for airborne pollen monitoring within operational…”
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