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Exploiting PSO-SVM and sample entropy in BEMD for the prediction of interval-valued time series and its application to daily PM2.5 concentration forecasting
Research article (Applied Intelligence, 2022) · cited 28× · AI/ML
Exploiting PSO-SVM and sample entropy in BEMD for the prediction of interval-valued time series and its application to daily PM2.5 concentration forecasting
Summary
Exploiting PSO-SVM and sample entropy in BEMD for the prediction of interval-valued time series and its application to daily PM2.5 concentration forecasting is a scholarly article[1].
Key Facts
Exploiting PSO-SVM and sample entropy in BEMD for the prediction of interval-valued time series and its application to daily PM2.5 concentration forecasting's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Exploiting PSO-SVM and sample entropy in BEMD for the prediction of interval-valued time series and its application to daily PM2.5 concentration forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploiting-pso-svm-and-sample-entropy-in-bemd-for-the-prediction-of-interval-valued-time-series-and-its-application-to-d
MLA“Exploiting PSO-SVM and sample entropy in BEMD for the prediction of interval-valued time series and its application to daily PM2.5 concentration forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploiting-pso-svm-and-sample-entropy-in-bemd-for-the-prediction-of-interval-valued-time-series-and-its-application-to-d.
BibTeX@misc{4ortxyz_exploiting-pso-svm-and-sample-entropy-in-bemd-for-the-prediction-of-interval-valued-time-series-and-its-application-to-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploiting PSO-SVM and sample entropy in BEMD for the prediction of interval-valued time series and its application to daily PM2.5 concentration forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/exploiting-pso-svm-and-sample-entropy-in-bemd-for-the-prediction-of-interval-valued-time-series-and-its-application-to-d}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploiting PSO-SVM and sample entropy in BEMD for the prediction of interval-valued time series and its application to daily PM2.5 concentration forecasting — https://4ort.xyz/entity/exploiting-pso-svm-and-sample-entropy-in-bemd-for-the-prediction-of-interval-valued-time-series-and-its-application-to-d (retrieved 2026-05-24)
