Deep learning regression-based stratified probabilistic combined cycle fatigue damage evaluation for turbine bladed disks

Research article (International Journal of Fatigue, 2022) · cited 90× · AI/ML
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Deep learning regression-based stratified probabilistic combined cycle fatigue damage evaluation for turbine bladed disks

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Deep learning regression-based stratified probabilistic combined cycle fatigue damage evaluation for turbine bladed disks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep learning regression-based stratified probabilistic combined cycle fatigue damage evaluation for turbine bladed disks. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-regression-based-stratified-probabilistic-combined-cycle-fatigue-damage-evaluation-for-turbine-bladed-disk
MLA “Deep learning regression-based stratified probabilistic combined cycle fatigue damage evaluation for turbine bladed disks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-regression-based-stratified-probabilistic-combined-cycle-fatigue-damage-evaluation-for-turbine-bladed-disk.
BibTeX @misc{4ortxyz_deep-learning-regression-based-stratified-probabilistic-combined-cycle-fatigue-damage-evaluation-for-turbine-bladed-disk_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning regression-based stratified probabilistic combined cycle fatigue damage evaluation for turbine bladed disks}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-regression-based-stratified-probabilistic-combined-cycle-fatigue-damage-evaluation-for-turbine-bladed-disk}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning regression-based stratified probabilistic combined cycle fatigue damage evaluation for turbine bladed disks — https://4ort.xyz/entity/deep-learning-regression-based-stratified-probabilistic-combined-cycle-fatigue-damage-evaluation-for-turbine-bladed-disk (retrieved 2026-05-24)

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