(Q39749986)

14 September 2017

Artificial neural network model of the relationship between Betula pollen and meteorological factors in Szczecin (Poland). (English)

1 reference

artificial neural network

14 September 2017

0 references

1 reference

Małgorzata Puc

1

1 reference

14 September 2017

15 May 2011

1 reference

International Journal of Biometeorology

14 September 2017

1 reference

14 September 2017

56

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14 September 2017

2

1 reference

14 September 2017

395-401

1 reference

https://scigraph.springernature.com/pub.10.1007/s00484-011-0446-1

14 September 2017

0 references

cites work

Artificial neural network models of relationships between Alternaria spores and meteorological factors in Szczecin (Poland).

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3278628

Copenhagen--a significant source of birch (Betula) pollen?

25 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3278628

The use of discriminant analysis and neural networks to forecast the severity of the Poaceae pollen season in a region with a typical Mediterranean climate

25 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3278628

Artificial neural networks as a useful tool to predict the risk level of Betula pollen in the air.

25 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3278628

Short-term prediction of Betula airborne pollen concentration in Vigo (NW Spain) using logistic additive models and partially linear models.

25 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3278628

The use of a neural network to forecast daily grass pollen concentration in a Mediterranean region: the southern part of the Iberian Peninsula

25 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3278628

Responses in the start of Betula (birch) pollen seasons to recent changes in spring temperatures across Europe

25 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3278628

Predicting days of high allergenic risk during Betula pollination using weather types

25 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3278628

Hourly predictive artificial neural network and multivariate regression tree models of Alternaria and Cladosporium spore concentrations in Szczecin (Poland).

25 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3278628

Betula and Populus pollen counts and meteorological conditions in Szczecin, Poland.

20 August 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3278628

Non-native Ambrosia pollen in the atmosphere of Rzeszów (SE Poland); evaluation of the effect of weather conditions on daily concentrations and starting dates of the pollen season

20 August 2018

1 reference

Crossref

https://api.crossref.org/works/10.1007%2FS00484-011-0446-1

Factors that determine the severity of Betula spp. pollen seasons in Poland (Poznań and Krakow) and the United Kingdom (Worcester and London)

21 January 2018

1 reference

Crossref

https://api.crossref.org/works/10.1007%2FS00484-011-0446-1

Release of allergen-bearing cytoplasm from hydrated pollen: a mechanism common to a variety of grass (Poaceae) species revealed by electron microscopy

21 January 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/21573820

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1007/S00484-011-0446-1

1 reference

14 September 2017

1 reference

14 September 2017

1 reference

PMCID

3278628