Analysis of VAE-LSTM Performance in Detecting Anomalies in Average Daily Temperature Data in Jakarta 2000-2023

Analysis of VAE-LSTM Performance in Detecting Anomalies in Average Daily Temperature Data in Jakarta 2000-2023

Climate change is happening worldwide, so global climate conditions are a major concern. In densely populated urban areas such as Jakarta, it is impossible to avoid the impacts of climate change, particularly the daily changes in air temperature. Therefore, a sophisticated and efficient approach is...

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Bibliographic Details
Main Authors: INDRI RAMDANI, YENNI ANGRAINI, INDAHWATI INDAHWATI
Format: Article
Language:English
Published: Universitas Syiah Kuala, Faculty of Mathematics and Natural Science 2025-07-01
Series:Jurnal Natural
Subjects:
air temperature, anomaly detection, deep learning, lstm, vae
Online Access:https://jurnal.usk.ac.id/natural/article/view/41856
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