Gas sensor array to classify the chicken meat with E. coli contaminant by using random forest and support vector machine
Summary
Gas sensor array to classify the chicken meat with E. coli contaminant by using random forest and support vector machine is a scholarly article[1].
Key Facts
Gas sensor array to classify the chicken meat with E. coli contaminant by using random forest and support vector machine's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Gas sensor array to classify the chicken meat with E. coli contaminant by using random forest and support vector machine. Retrieved May 24, 2026, from https://4ort.xyz/entity/gas-sensor-array-to-classify-the-chicken-meat-with-e-coli-contaminant-by-using-random-forest-and-support-vector-machine
MLA“Gas sensor array to classify the chicken meat with E. coli contaminant by using random forest and support vector machine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gas-sensor-array-to-classify-the-chicken-meat-with-e-coli-contaminant-by-using-random-forest-and-support-vector-machine.
BibTeX@misc{4ortxyz_gas-sensor-array-to-classify-the-chicken-meat-with-e-coli-contaminant-by-using-random-forest-and-support-vector-machine_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Gas sensor array to classify the chicken meat with E. coli contaminant by using random forest and support vector machine}}, year = {2026}, url = {https://4ort.xyz/entity/gas-sensor-array-to-classify-the-chicken-meat-with-e-coli-contaminant-by-using-random-forest-and-support-vector-machine}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Gas sensor array to classify the chicken meat with E. coli contaminant by using random forest and support vector machine — https://4ort.xyz/entity/gas-sensor-array-to-classify-the-chicken-meat-with-e-coli-contaminant-by-using-random-forest-and-support-vector-machine (retrieved 2026-05-24)
