Generating Synthetic Values on Automatic Weather Station Dataset using GAIN-Reference-Cited by-同舟云学术

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Generating Synthetic Values on Automatic Weather Station Dataset using GAIN

Published:2023-08-09 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Instrumentation, Control, and Automation (ICA)
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Author:

Santoso Bayu¹,Ryan Muhammad²,Mukhlish Faqihza³,Kurniadi Deddy⁴

Affiliation:

1. Institut Teknologi Bandung,Master Program in Instrumentation and Control,Bandung,Indonesia

2. Badan Meteorologi Klimatologi, dan Geofisika,Center of Aviation Meteorology,Jakarta,Indonesia

3. Faculty of Industrial Technology Institut Teknologi Bandung,Engineering Physics Research Group,Bandung,Indonesia

4. Faculty of Industrial Technology Institut Teknologi Bandung,Instrumentation and Control Research Group,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10273006/10273046/10273082.pdf?arnumber=10273082

Reference15 articles.

1. Wind-Induced Pressure Prediction on Tall Buildings Using Generative Adversarial Imputation Network

2. Generative Adversarial Networks;goodfellow,2014

3. Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature

4. AWS Center BMKG;Badan Meteorologi Klimatologi Dan Geofisika,2023

5. GAIN: Missing Data Imputation using Generative Adversarial Nets;yoon,2018

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