Deep Neural Network-Based Concentration Model for Oak Pollen Allergy Warning in South Korea-Reference-Cited by-同舟云学术

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Deep Neural Network-Based Concentration Model for Oak Pollen Allergy Warning in South Korea

Published:2020 Issue:1 Volume:12 Page:149
ISSN:2092-7355
Container-title:Allergy, Asthma & Immunology Research
language:en
Short-container-title:Allergy Asthma Immunol Res

Author:

Seo Yun Am¹^ORCID,Kim Kyu Rang²^ORCID,Cho Changbum²^ORCID,Oh Jae-Won³^ORCID,Kim Tae Hee⁴^ORCID

Affiliation:

1. AI Weather Forecast Research Team, National Institute of Meteorological Science, Seogwipo, Korea.

2. Applied Meteorology Research Division, National Institute of Meteorological Science, Seogwipo, Korea.

3. Department of Pediatrics, Hanyang University College of Medicine, Seoul, Korea.

4. Urban Forest Research Center, National Institute of Forest Science, Korea Forest Service, Seoul, Korea.

Funder

Korea Meteorological Administration

Publisher

The Korean Academy of Asthma, Allergy and Clinical Immunology and The Korean Academy of Pediatric Al

Subject

Pulmonary and Respiratory Medicine,Immunology,Immunology and Allergy

Link

https://synapse.koreamed.org/pdf/10.4168/aair.2020.12.1.149

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3. Floating in the air: forecasting allergenic pollen concentration for managing urban public health;International Journal of Digital Earth;2024-01-23

4. Prediction Model for Annual Variation in Total Pollen by Allergenic Trees in Korean Cities;Allergy, Asthma & Immunology Research;2024

5. PollenNet - a deep learning approach to predicting airborne pollen concentrations;Croatian operational research review;2023-07-10

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