A deep learning-aided prediction approach for creep rupture time of Fe–Cr–Ni heat-resistant alloys by integrating textual and visual features

Research article (Journal of Materials Research and Technology, 2022) · cited 33× · AI/ML
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A deep learning-aided prediction approach for creep rupture time of Fe–Cr–Ni heat-resistant alloys by integrating textual and visual features

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A deep learning-aided prediction approach for creep rupture time of Fe–Cr–Ni heat-resistant alloys by integrating textual and visual features is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A deep learning-aided prediction approach for creep rupture time of Fe–Cr–Ni heat-resistant alloys by integrating textual and visual features. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-aided-prediction-approach-for-creep-rupture-time-of-fecrni-heat-resistant-alloys-by-integrating-textual-
MLA “A deep learning-aided prediction approach for creep rupture time of Fe–Cr–Ni heat-resistant alloys by integrating textual and visual features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-aided-prediction-approach-for-creep-rupture-time-of-fecrni-heat-resistant-alloys-by-integrating-textual-.
BibTeX @misc{4ortxyz_a-deep-learning-aided-prediction-approach-for-creep-rupture-time-of-fecrni-heat-resistant-alloys-by-integrating-textual-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep learning-aided prediction approach for creep rupture time of Fe–Cr–Ni heat-resistant alloys by integrating textual and visual features}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-aided-prediction-approach-for-creep-rupture-time-of-fecrni-heat-resistant-alloys-by-integrating-textual-}, note = {Accessed: 2026-05-24}}
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