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Estimations for the Production Cross Sections of Medical 61, 64, 67Cu Radioisotopes by Using Bayesian Regularized Artificial Neural Networks in (p, α) Reactions
Research article (Arabian Journal for Science and Engineering, 2023) · cited 21× · AI/ML
Estimations for the Production Cross Sections of Medical 61, 64, 67Cu Radioisotopes by Using Bayesian Regularized Artificial Neural Networks in (p, α) Reactions
Summary
Estimations for the Production Cross Sections of Medical 61, 64, 67Cu Radioisotopes by Using Bayesian Regularized Artificial Neural Networks in (p, α) Reactions is a scholarly article[1].
Key Facts
Estimations for the Production Cross Sections of Medical 61, 64, 67Cu Radioisotopes by Using Bayesian Regularized Artificial Neural Networks in (p, α) Reactions's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Estimations for the Production Cross Sections of Medical 61, 64, 67Cu Radioisotopes by Using Bayesian Regularized Artificial Neural Networks in (p, α) Reactions. Retrieved May 24, 2026, from https://4ort.xyz/entity/estimations-for-the-production-cross-sections-of-medical-61-64-67cu-radioisotopes-by-using-bayesian-regularized-artifici
MLA“Estimations for the Production Cross Sections of Medical 61, 64, 67Cu Radioisotopes by Using Bayesian Regularized Artificial Neural Networks in (p, α) Reactions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/estimations-for-the-production-cross-sections-of-medical-61-64-67cu-radioisotopes-by-using-bayesian-regularized-artifici.
BibTeX@misc{4ortxyz_estimations-for-the-production-cross-sections-of-medical-61-64-67cu-radioisotopes-by-using-bayesian-regularized-artifici_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Estimations for the Production Cross Sections of Medical 61, 64, 67Cu Radioisotopes by Using Bayesian Regularized Artificial Neural Networks in (p, α) Reactions}}, year = {2026}, url = {https://4ort.xyz/entity/estimations-for-the-production-cross-sections-of-medical-61-64-67cu-radioisotopes-by-using-bayesian-regularized-artifici}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Estimations for the Production Cross Sections of Medical 61, 64, 67Cu Radioisotopes by Using Bayesian Regularized Artificial Neural Networks in (p, α) Reactions — https://4ort.xyz/entity/estimations-for-the-production-cross-sections-of-medical-61-64-67cu-radioisotopes-by-using-bayesian-regularized-artifici (retrieved 2026-05-24)
