[A-CG43] Earth & Environmental Sciences and Artificial Intelligence/Machine Learning

Thu. Jun 3, 2021 5:15 PM - 6:30 PM Ch.03

convener:Tomohiko Tomita(Faculty of Advanced Science and Technology, Kumamoto University), Shigeki Hosoda(Japan Marine-Earth Science and Technology), Ken-ichi Fukui(Osaka University), Satoshi Ono(Kagoshima Univeristy)

In recent years, we have been required to explore various gigantic data leading earth and environmental sciences such as modern meteorology, oceanography, hydrology and so on to accomplish Society 5.0 and Sustainable Development Goals (SDGs). To examine such gigantic environmental data faithfully, it may be required to use the techniques of artificial intelligence/machine learning (AI/ML) including spatiotemporal data modeling of AI, prediction and detection by ML, techniques of automated data mining, and so forth. At the present, AI/ML is also expected to lead the data-driven science as a bridge connecting science and big data. This session calls for various studies applying the techniques of AI/ML to scientific/environmental issues and will discuss them in both natural and information sciences.

+Add all to schedule

5:15 PM - 6:30 PM

[ACG43-P01] Machine learning for remote sounding of the ionosphere in Taiwan

*ALEXEI DMITRIEV¹ (1.National Central University, Jungli City, Taiwan)

5:15 PM - 6:30 PM

[ACG43-P02] Precipitation predictions using RNN and LSTM with simple time series observations and the comparison between them.

*He Zhang¹, Tomohiko Tomita², Ken-ichi Fukui³, Satoshi Ono⁴ (1.Kumamoto University, 2.Faculty of Advanced Science and Technology, 3.The Institute of Scientific and Industrial Research, Osaka University, 4.Faculty of Engineering, Kagoshima University)

5:15 PM - 6:30 PM

[ACG43-P03] Hindcast of the July 2018 torrential rainfall event in Kagoshima City using LSTM

*Genki Shirasawa¹, Ryusei Hamasaki¹, Shinichiro Kako², Hirohiko Nakamura³ (1.Kagoshima University, Faculty of Engineering, 2.Graduate School of Science and Engineering, Kagoshima University, 3.Kagoshima University, Faculty of Fisheries)

5:15 PM - 6:30 PM

[ACG43-P04] Real-time Data Quality Control of Phased Array Weather Radar by using Semantic Segmentation

*Isoda Fusako¹, Shinsuke Satoh¹, Masashi Kimura², Takemasa Miyoshi³ (1.National Institute of Information and Communications Technology, 2.Convergence Lab., 3.RIKEN)

5:15 PM - 6:30 PM

[ACG43-P05] A Preliminary Study on Developing a Smartphone Application for Weather Classification Using AutoML

*Satoshi Ono¹, Kento Wakamatsu¹, Yusaku Hayashi¹, Tomohiko Tomita² (1.Kagoshima Univeristy, 2.Kumamoto University)

5:15 PM - 6:30 PM

[ACG43-P06] Fundamental Study on Weather Judgement of Image Data using Machine Learning Classification

*Tomohiko Tomita¹, Kosuke Tanaka² (1.Faculty of Advanced Science and Technology, Kumamoto University, 2.Faculty of Science, Kumamoto University)

Session information

[A-CG43] Earth & Environmental Sciences and Artificial Intelligence/Machine Learning

[ACG43-P01] Machine learning for remote sounding of the ionosphere in Taiwan

[ACG43-P02] Precipitation predictions using RNN and LSTM with simple time series observations and the comparison between them.

[ACG43-P03] Hindcast of the July 2018 torrential rainfall event in Kagoshima City using LSTM

[ACG43-P04] Real-time Data Quality Control of Phased Array Weather Radar by using Semantic Segmentation

[ACG43-P05] A Preliminary Study on Developing a Smartphone Application for Weather Classification Using AutoML

[ACG43-P06] Fundamental Study on Weather Judgement of Image Data using Machine Learning Classification

Authentication