Scientific Paper · source-verified

Application of Data Mining Techniques on Air Pollution of Dhaka City

Al-Sadman Chowdhury; Md. Shihab Uddin; Md Rashad Tanjim; Fariha Noor; Rashedur M. Rahman · 2020-08-01

This study applies machine learning, including deep learning with LSTM, to classify and predict Dhaka's Air Quality Index (AQI), incorporating daily temperature as a parameter and demonstrating optimal AQI forecasting performance.

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Al-Sadman Chowdhury; Md. Shihab Uddin; Md Rashad Tanjim; Fariha Noor; Rashedur M. Rahman. 2020-08-01. Application of Data Mining Techniques on Air Pollution of Dhaka City. https://www.researchgate.net/publication/344782553_Application_of_Data_Mining_Techniques_on_Air_Pollution_of_Dhaka_City (AI & Environment Resource Hub; record paper-137; collection snapshot 2026-09-15).

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Author or creator
Al-Sadman Chowdhury; Md. Shihab Uddin; Md Rashad Tanjim; Fariha Noor; Rashedur M. Rahman
Publisher
ResearchGate
Publication date
2020-08-01
Date precision
day
Geographic scope
Unknown
Language
unknown
Peer review
unknown
Source status
verified
Last verified
2026-09-15T16:58:06Z
Snapshot import
2026-09-06
Legacy domain
Governance, Justice & Society
Legacy subdomain
Data Mining Techniques for Predicting Dhaka's Air Quality Index (AQI)
journal
ResearchGate

Provenance and review

Source sheet: Scientific Paper · Row 141 · Original ID: paper-137.

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A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.

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