Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem

Research article (Engineering Applications of Artificial Intelligence, 2023) · cited 37× · AI/ML
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Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem

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Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem. Retrieved May 24, 2026, from https://4ort.xyz/entity/self-supervised-learning-for-data-scarcity-in-a-fatigue-damage-prognostic-problem
MLA “Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/self-supervised-learning-for-data-scarcity-in-a-fatigue-damage-prognostic-problem.
BibTeX @misc{4ortxyz_self-supervised-learning-for-data-scarcity-in-a-fatigue-damage-prognostic-problem_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem}}, year = {2026}, url = {https://4ort.xyz/entity/self-supervised-learning-for-data-scarcity-in-a-fatigue-damage-prognostic-problem}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem — https://4ort.xyz/entity/self-supervised-learning-for-data-scarcity-in-a-fatigue-damage-prognostic-problem (retrieved 2026-05-24)

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