A convolution-based deep learning approach for estimating compressive strength of fiber reinforced concrete at elevated temperatures

Research article (Construction and Building Materials, 2021) · cited 82× · AI/ML
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A convolution-based deep learning approach for estimating compressive strength of fiber reinforced concrete at elevated temperatures

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A convolution-based deep learning approach for estimating compressive strength of fiber reinforced concrete at elevated temperatures is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A convolution-based deep learning approach for estimating compressive strength of fiber reinforced concrete at elevated temperatures. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-convolution-based-deep-learning-approach-for-estimating-compressive-strength-of-fiber-reinforced-concrete-at-elevated-
MLA “A convolution-based deep learning approach for estimating compressive strength of fiber reinforced concrete at elevated temperatures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-convolution-based-deep-learning-approach-for-estimating-compressive-strength-of-fiber-reinforced-concrete-at-elevated-.
BibTeX @misc{4ortxyz_a-convolution-based-deep-learning-approach-for-estimating-compressive-strength-of-fiber-reinforced-concrete-at-elevated-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A convolution-based deep learning approach for estimating compressive strength of fiber reinforced concrete at elevated temperatures}}, year = {2026}, url = {https://4ort.xyz/entity/a-convolution-based-deep-learning-approach-for-estimating-compressive-strength-of-fiber-reinforced-concrete-at-elevated-}, note = {Accessed: 2026-05-24}}
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