APD-BayNet: Jakarta Air Quality Index Prediction Using Bayesian Optimized Tabnet

APD-BayNet: Jakarta Air Quality Index Prediction Using Bayesian Optimized Tabnet

The Air Quality Index (AQI) is a critical measure for assessing air pollution levels and their impact on public health and the environment. Jakarta, the capital of Indonesia, has consistently ranked among the world’s most polluted cities. Various machine learning-based studies have attemp...

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Bibliographic Details
Main Authors: Raey Faldo, Satria Mandala, Rina Pudji Astuti, Ary Setijadi Prihatmanto, Mohd Soperi Mohd Zahid
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
TabNet
LSTM
CNN
deep learning
Air Quality Index prediction
Online Access:https://ieeexplore.ieee.org/document/10945310/
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https://ieeexplore.ieee.org/document/10945310/

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