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Predicting critical flame quenching thickness using machine learning approach with ResNet and ANN

Research article (Journal of Loss Prevention in the Process Industries, 2024) · cited 10× · AI/ML
academia openalex:W4403001433
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Predicting critical flame quenching thickness using machine learning approach with ResNet and ANN

Summary

Predicting critical flame quenching thickness using machine learning approach with ResNet and ANN is a scholarly article[1].

Key Facts

  • Predicting critical flame quenching thickness using machine learning approach with ResNet and ANN's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Predicting critical flame quenching thickness using machine learning approach with ResNet and ANN. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-critical-flame-quenching-thickness-using-machine-learning-approach-with-resnet-and-ann
MLA “Predicting critical flame quenching thickness using machine learning approach with ResNet and ANN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-critical-flame-quenching-thickness-using-machine-learning-approach-with-resnet-and-ann.
BibTeX @misc{4ortxyz_predicting-critical-flame-quenching-thickness-using-machine-learning-approach-with-resnet-and-ann_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting critical flame quenching thickness using machine learning approach with ResNet and ANN}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-critical-flame-quenching-thickness-using-machine-learning-approach-with-resnet-and-ann}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting critical flame quenching thickness using machine learning approach with ResNet and ANN — https://4ort.xyz/entity/predicting-critical-flame-quenching-thickness-using-machine-learning-approach-with-resnet-and-ann (retrieved 2026-05-24)

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