Total organic carbon (TOC) quantification using artificial neural networks: Improved prediction by leveraging XRF data
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Total organic carbon (TOC) quantification using artificial neural networks: Improved prediction by leveraging XRF data is a scholarly article[1].
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Total organic carbon (TOC) quantification using artificial neural networks: Improved prediction by leveraging XRF data's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Total organic carbon (TOC) quantification using artificial neural networks: Improved prediction by leveraging XRF data. Retrieved May 24, 2026, from https://4ort.xyz/entity/total-organic-carbon-toc-quantification-using-artificial-neural-networks-improved-prediction-by-leveraging-xrf-data
BibTeX@misc{4ortxyz_total-organic-carbon-toc-quantification-using-artificial-neural-networks-improved-prediction-by-leveraging-xrf-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Total organic carbon (TOC) quantification using artificial neural networks: Improved prediction by leveraging XRF data}}, year = {2026}, url = {https://4ort.xyz/entity/total-organic-carbon-toc-quantification-using-artificial-neural-networks-improved-prediction-by-leveraging-xrf-data}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Total organic carbon (TOC) quantification using artificial neural networks: Improved prediction by leveraging XRF data — https://4ort.xyz/entity/total-organic-carbon-toc-quantification-using-artificial-neural-networks-improved-prediction-by-leveraging-xrf-data (retrieved 2026-05-24)
