Features inspired PM2.5 prediction: a Belfast city case study

Fareena Naz, Muhammad Fahim, Adnan Ahmad Cheema, Nguyen Trung Viet, Tuan-Vu Cao, Trung Q. Duong*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings of the 10th EAI International Conference on Industrial Networks and Intelligent Systems, EAI INISCOM 2024
PublisherSpringer
Publication statusAccepted - 28 Dec 2023
Event10th EAI International Conference on Industrial Networks and Intelligent Systems 2024 - Viet Nam, Da Nang, Viet Nam
Duration: 20 Feb 202421 Feb 2024
https://iniscom.eai-conferences.org/2024/

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference10th EAI International Conference on Industrial Networks and Intelligent Systems 2024
Abbreviated titleEAI INISCOM 2024
Country/TerritoryViet Nam
CityDa Nang
Period20/02/202421/02/2024
Internet address

Keywords

  • Feature generation
  • Signal decomposition
  • PM2.5
  • Machine learning
  • Forecasting models
  • Long short term memory (LSTM)
  • Air pollutant prediction
  • air quality
  • Health

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