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1.
A Conceptual Model of Measurement Uncertainty in IoT Sensor Networks.
Sensors (Basel)
; 21(5)2021 Mar 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-33807912
2.
Pollen season is reflected on symptom load for grass and birch pollen-induced allergic rhinitis in different geographic areas-An EAACI Task Force Report.
Allergy
; 75(5): 1099-1106, 2020 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-31721236
3.
The development of birch pollen seasons over 30 years in Munich, Germany-An EAACI Task Force report.
Allergy
; 75(12): 3024-3026, 2020 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-32575167
4.
Interactions of physical, chemical, and biological weather calling for an integrated approach to assessment, forecasting, and communication of air quality.
Ambio
; 41(8): 851-64, 2012 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-22627871
5.
Machine learning for groundwater pollution source identification and monitoring network optimization.
Neural Comput Appl
; 34(22): 19515-19545, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35789915
6.
Air Quality Sensors Systems as Tools to Support Guidance in Athletics Stadia for Elite and Recreational Athletes.
Int J Environ Res Public Health
; 19(6)2022 03 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-35329250
7.
Particulate air pollution in the Copenhagen metro part 2: Low-cost sensors and micro-environment classification.
Environ Int
; 170: 107645, 2022 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-36434885
8.
The evaluation of pollen concentrations with statistical and computational methods on rooftop and on ground level in Vienna - How to include daily crowd-sourced symptom data.
World Allergy Organ J
; 12(5): 100036, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-31191792
9.
Predicting daily ragweed pollen concentrations using Computational Intelligence techniques over two heavily polluted areas in Europe.
Sci Total Environ
; 476-477: 542-52, 2014 Apr 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-24496027
10.
Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and Helsinki.
Sci Total Environ
; 409(7): 1266-76, 2011 Mar 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-21276603
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