Forecasting PM2.5 Concentration Using a Single-Dense Layer BiLSTM Method

Forecasting PM2.5 Concentration Using a Single-Dense Layer BiLSTM Method

In recent times, particulate matter (PM2.5) is one of the most critical air quality contaminants, and the rise of its concentration will intensify the hazard of cleanrooms. The forecasting of the concentration of PM2.5 has great importance to improve the safety of the highly pollutant-sensitive elec...

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Bibliographic Details
Main Authors: Aji Teguh Prihatno, Himawan Nurcahyanto, Md. Faisal Ahmed, Md. Habibur Rahman, Md. Morshed Alam, Yeong Min Jang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Electronics
Subjects:
PM2.5
bidirectional long-short-term-memory (BiLSTM)
edge computing
cleanroom
Online Access:https://www.mdpi.com/2079-9292/10/15/1808

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