Home ›
Entities
› academia
› Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy
Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy
Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy
Summary
Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy is a scholarly article[1].
Key Facts
Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy. Retrieved May 24, 2026, from https://4ort.xyz/entity/towards-applying-internet-of-things-and-machine-learning-for-the-risk-prediction-of-covid-19-in-pandemic-situation-using
MLA“Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/towards-applying-internet-of-things-and-machine-learning-for-the-risk-prediction-of-covid-19-in-pandemic-situation-using.
BibTeX@misc{4ortxyz_towards-applying-internet-of-things-and-machine-learning-for-the-risk-prediction-of-covid-19-in-pandemic-situation-using_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy}}, year = {2026}, url = {https://4ort.xyz/entity/towards-applying-internet-of-things-and-machine-learning-for-the-risk-prediction-of-covid-19-in-pandemic-situation-using}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy — https://4ort.xyz/entity/towards-applying-internet-of-things-and-machine-learning-for-the-risk-prediction-of-covid-19-in-pandemic-situation-using (retrieved 2026-05-24)
