Air-pollution Prediction in Smart City using Convolutional Long Short-Term Memory (ConvLSTM) Model

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Authors

Aruliah Rajasekar (ORCID: https://orcid.org/0000-0001-5324-3290)
Sarat Kumar Panda (ORCID: https://orcid.org/0000-0003-4647-8272)
Geetha Mani (ORCID: https://orcid.org/0000-0002-8234-9294)
P. Chandrakanth

Publication Details

Journal: International Journal of Global Warming
Published: 2025-01-01
DOI: https://doi.org/10.1504/ijgw.2025.10071762
Primary Topic: Air Quality Monitoring and Forecasting
Type: article
Field-Weighted Citation Impact: 0.00

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article

Air-pollution Prediction in Smart City using Convolutional Long Short-Term Memory (ConvLSTM) Model

Aruliah Rajasekar, Sarat Kumar Panda, Geetha Mani, P. Chandrakanth

Jan 1, 2025

International Journal of Global Warming

Air Quality Monitoring and Forecasting

article

Air-pollution Prediction in Smart City using Convolutional Long Short-Term Memory (ConvLSTM) Model

Aruliah Rajasekar, Sarat Kumar Panda, Geetha Mani, P. Chandrakanth

January 1, 2025article en

Abstract

International Journal of Global WarmingVol. 36(4)

Sustainable cities and communities

Openalex Percentile: Top 88%

Air Quality Monitoring and Forecasting

DOI Source OpenAlex

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Air-pollution Prediction in Smart City using Convolutional Long Short-Term Memory (ConvLSTM) Model — Aruliah Rajasekar, Sarat Kumar Panda, et al. · International Journal of Global Warming (2025) | TGRS Research Map | TGRS