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Utilizing Features Extracted from Registered 60Co Gamma-Ray Spectrum in One Detector as Inputs of Artificial Neural Network for Independent Flow Regime Void Fraction Prediction
Research article (MAPAN, 2019) · cited 13× · AI/ML
Utilizing Features Extracted from Registered 60Co Gamma-Ray Spectrum in One Detector as Inputs of Artificial Neural Network for Independent Flow Regime Void Fraction Prediction
Summary
Utilizing Features Extracted from Registered 60Co Gamma-Ray Spectrum in One Detector as Inputs of Artificial Neural Network for Independent Flow Regime Void Fraction Prediction is a scholarly article[1].
Key Facts
Utilizing Features Extracted from Registered 60Co Gamma-Ray Spectrum in One Detector as Inputs of Artificial Neural Network for Independent Flow Regime Void Fraction Prediction's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Utilizing Features Extracted from Registered 60Co Gamma-Ray Spectrum in One Detector as Inputs of Artificial Neural Network for Independent Flow Regime Void Fraction Prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/utilizing-features-extracted-from-registered-60co-gamma-ray-spectrum-in-one-detector-as-inputs-of-artificial-neural-netw
MLA“Utilizing Features Extracted from Registered 60Co Gamma-Ray Spectrum in One Detector as Inputs of Artificial Neural Network for Independent Flow Regime Void Fraction Prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/utilizing-features-extracted-from-registered-60co-gamma-ray-spectrum-in-one-detector-as-inputs-of-artificial-neural-netw.
BibTeX@misc{4ortxyz_utilizing-features-extracted-from-registered-60co-gamma-ray-spectrum-in-one-detector-as-inputs-of-artificial-neural-netw_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Utilizing Features Extracted from Registered 60Co Gamma-Ray Spectrum in One Detector as Inputs of Artificial Neural Network for Independent Flow Regime Void Fraction Prediction}}, year = {2026}, url = {https://4ort.xyz/entity/utilizing-features-extracted-from-registered-60co-gamma-ray-spectrum-in-one-detector-as-inputs-of-artificial-neural-netw}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Utilizing Features Extracted from Registered 60Co Gamma-Ray Spectrum in One Detector as Inputs of Artificial Neural Network for Independent Flow Regime Void Fraction Prediction — https://4ort.xyz/entity/utilizing-features-extracted-from-registered-60co-gamma-ray-spectrum-in-one-detector-as-inputs-of-artificial-neural-netw (retrieved 2026-05-24)
