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| Published in: | Advanced Intelligent Systems |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030193065132036 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Advanced Intelligent Systems |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:42711 |
| institution | FRELIP |
| journal_source_facet | Advanced Intelligent Systems |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics — — — — — — Artificial Intelligence Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | — — — — — — Artificial Intelligence Computer Science & IT Engineering & Technology — — — — — — Artificial Intelligence Computer Science & IT Engineering & Technology |
| subject_facet | — — — — — — Artificial Intelligence Computer Science & IT Engineering & Technology |
| title | Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics |
| title_auth | Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics |
| title_full | Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics |
| title_fullStr | Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics |
| title_full_unstemmed | Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics |
| title_short | Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics |
| title_sort | disentangling aleatoric and epistemic uncertainty in physics‐informed neural networks: application to insulation material degradation prognostics |
| topic | — — — — — — Artificial Intelligence Computer Science & IT Engineering & Technology |
| url | https://advanced.onlinelibrary.wiley.com/doi/10.1002/aisy.202501502?af=R |