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accelerated-komputing/FatigueNet

43 downloads in 30 days1 likesLast modified 26 Sep 2026View on Hugging Face

Permissive or share-alike

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at 8997dd0
Licence files: No licence file at the top level of the repositoryEvidence: file list at 8997dd0
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

tabular-regression

Citation text from the card

@inproceedings{FATIGUENET2026,
  author    = {Sachin Saud and Bipsan Nepal and Bipin Shrestha and Rachit Rijal and Susil Chhetri and Tulsi Narayan Shrestha and Amit Regmi and Akio Tanaka},
  title     = {{FATIGUENET: DEEP LEARNING SURROGATE MODEL FOR NODE-WISE FATIGUE LIFE PREDICTION IN 3D STEEL SHAFTS}},
  booktitle = {Proceedings of the ASME 2026 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC-CIE2026)},
  year      = {2026},
  address   = {Houston, TX, USA},
  paperid   = {DETC2026-193892},
  publisher = {American Society of Mechanical Engineers (ASME)}
}

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dataset_licence({ "id": "accelerated-komputing/FatigueNet" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0