Environmental Chemistry Lab, Department of Applied Chemistry,
Faculty of Science and Technology, Keio University

Led by Tomoaki OKUDA, Ph.D.


Home > Research > Research Topics [PM2.5 concentration prediction using Deep Learning]

Research Topics

PM2.5 concentration prediction using Deep Learning

Environmental quality standard are set for the PM2.5 concentration as a reference value for the appropriate protection of human health. In addition to this, there is a guideline to alert to keep from unnecessarily going out when PM2.5 concentration is predicted to be extremely high. We are working on prediction of PM2.5 concentration using machine learning to support decision making for such alerts more quickly and accurately.

Snap Shots

An example of the alert for high concentrations of PM2.5

PM2.5 concentrations predicted using deep learning.

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