The Design of Pressure Vessel Failure Risk Estimation Program Due to Uniform Corrosion Based on Machine Learning with Artificial Neural Networks-Reference-Cited by-同舟云学术

The Design of Pressure Vessel Failure Risk Estimation Program Due to Uniform Corrosion Based on Machine Learning with Artificial Neural Networks

Published:2023-07-26 Issue: Volume: Page:
ISSN:
Container-title:2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)
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Author:

Nafisah Helya Chafshoh¹,Hartoyo Fernanda¹,Fatriansyah Jaka Fajar¹,Dhaneswara Donanta¹,Varia Harry Joni²

Affiliation:

1. Universitas Indonesia,Departement of Metallurgical and Materials Engineering,Depok,Jawa Barat,Indonesia

2. Independent researcher,Jakarta Pusat,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10220947/10220436/10221000.pdf?arnumber=10221000

Reference19 articles.

1. State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems

2. Deep learning: yesterday, today, and tomorrow;kai;Journal of Computer research and development,2013

3. Applications of artificial neural networks in health care organizational decision-making: A scoping review

4. Smart energy and electric power system: current trends and new intelligent perspectives and introduction to AI and power system

5. Deteksi Hipertensi Dengan Metode Artificial Neural Network;matondang;Seminar Nasional Informatika Sistem Informasi dan Keamanan Siber (SEINASI-KESI),2019

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