Archives of Computational Methods in Engineering / 2022

Artificial Intelligence, Machine Learning, and Deep Learning in Structural Engineering: A Scientometrics Review of Trends and Best Practices

Arash Teymori Gharah Tapeh, M. Z. Naser

Computer VisionFoundation ModelsReinforcement Learning

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228 citations2 influential

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Title: Artificial Intelligence, Machine Learning, and Deep Learning in Structural Engineering: A Scientometrics Review of Trends and Best Practices
Authors: Arash Teymori Gharah Tapeh, M. Z. Naser
Year: 2022
Venue: Archives of Computational Methods in Engineering
Categories: Computer Vision, Foundation Models, Reinforcement Learning
Citations: 228
Paper URL: https://www.semanticscholar.org/paper/962e80d7d7ef046bd76bf016b492bd0fd361bca8
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Learning resources:
- Google Scholar: Google Scholar references (https://scholar.google.com/scholar?q=Artificial%20Intelligence%2C%20Machine%20Learning%2C%20and%20Deep%20Learning%20in%20Structural%20Engineering%3A%20A%20Scientometrics%20Review%20of%20Trends%20and%20Best%20Practices)
- Papers with Code: Papers with Code search (https://paperswithcode.com/search?q=Artificial%20Intelligence%2C%20Machine%20Learning%2C%20and%20Deep%20Learning%20in%20Structural%20Engineering%3A%20A%20Scientometrics%20Review%20of%20Trends%20and%20Best%20Practices)
- Semantic Scholar: Semantic Scholar paper page (https://www.semanticscholar.org/paper/962e80d7d7ef046bd76bf016b492bd0fd361bca8)
- YouTube: YouTube explanations (https://www.youtube.com/results?search_query=Artificial%20Intelligence%2C%20Machine%20Learning%2C%20and%20Deep%20Learning%20in%20Structural%20Engineering%3A%20A%20Scientometrics%20Review%20of%20Trends%20and%20Best%20Practices+paper+explained)