Volume 59, Issue 5

Search all Asia-Pacific Journal of Atmospheric Sciences articles

November 2023

7 articles in this issue

Air Quality Forecasting Using Big Data and Machine Learning Algorithms
Youn-Seo Koo
Yunsoo Choi
Chang‐Hoi Ho
EditorialNotes 04 December 2023 Pages: 529 - 530
Part of 1 collection:

Air quality forecasting using big data and machine learning algorithms in Northeastern Asia
Recent Air Quality Deterioration on Weekends in Seoul, South Korea: a Focus on External Contribution
Woosuk Choi
Chang-Hoi Ho
Jinwon Kim
Original Article Open access 10 August 2022 Pages: 531 - 543
Part of 1 collection:

Air quality forecasting using big data and machine learning algorithms in Northeastern Asia
Forecasting PM_2.5 Concentration in India Using a Cluster Based Hybrid Graph Neural Network Approach
Pavan Sai Santhosh Ejurothu
Subhojit Mandal
Mainak Thakur
Original Article 29 August 2022 Pages: 545 - 561
Part of 1 collection:

Air quality forecasting using big data and machine learning algorithms in Northeastern Asia
PM_2.5 Forecast in Korea using the Long Short-Term Memory (LSTM) Model
Chang-Hoi Ho
Ingyu Park
Jae-Bum Lee
Original Article Open access 19 September 2022 Pages: 563 - 576
Part of 1 collection:

Air quality forecasting using big data and machine learning algorithms in Northeastern Asia
A Development of PM2.5 Forecasting System in South Korea Using Chemical Transport Modeling and Machine Learning
Youn-Seo Koo
Hee-Yong Kwon
Jeong-Beom Lee
Original Article 13 January 2023 Pages: 577 - 595
Part of 1 collection:

Air quality forecasting using big data and machine learning algorithms in Northeastern Asia
Development of Deep Convolutional Neural Network Ensemble Models for 36-Month ENSO Forecasts
Yannic Lops
Yunsoo Choi
Deveshwar Singh
Original Article 01 March 2023 Pages: 597 - 605
Part of 1 collection:

Air quality forecasting using big data and machine learning algorithms in Northeastern Asia
Determination of Input variables for Artificial Intelligence Models to predict the High PM_2.5 concentration events in Seoul, Korea
Sang-Heon Kim
Moon-Soo Park
S.I. : Air quality forecasting using big data & machine learning algorithms 08 August 2023 Pages: 607 - 623
Part of 1 collection:

Air quality forecasting using big data and machine learning algorithms in Northeastern Asia

Volume 59, Issue 5

Air Quality Forecasting Using Big Data and Machine Learning Algorithms

Recent Air Quality Deterioration on Weekends in Seoul, South Korea: a Focus on External Contribution

Forecasting PM2.5 Concentration in India Using a Cluster Based Hybrid Graph Neural Network Approach

PM2.5 Forecast in Korea using the Long Short-Term Memory (LSTM) Model

A Development of PM2.5 Forecasting System in South Korea Using Chemical Transport Modeling and Machine Learning

Development of Deep Convolutional Neural Network Ensemble Models for 36-Month ENSO Forecasts

Determination of Input variables for Artificial Intelligence Models to predict the High PM2.5 concentration events in Seoul, Korea

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Forecasting PM_2.5 Concentration in India Using a Cluster Based Hybrid Graph Neural Network Approach

PM_2.5 Forecast in Korea using the Long Short-Term Memory (LSTM) Model

Determination of Input variables for Artificial Intelligence Models to predict the High PM_2.5 concentration events in Seoul, Korea