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Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries
Research article (Stochastic Environmental Research and Risk Assessment, 2022) · cited 56× · AI/ML
Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries
Summary
Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries is a scholarly article[1].
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Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-and-automatic-arima-prophet-models-based-forecasting-of-covid-19-methodology-evaluation-and-case-study-
MLA“Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-and-automatic-arima-prophet-models-based-forecasting-of-covid-19-methodology-evaluation-and-case-study-.
BibTeX@misc{4ortxyz_machine-learning-and-automatic-arima-prophet-models-based-forecasting-of-covid-19-methodology-evaluation-and-case-study-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-and-automatic-arima-prophet-models-based-forecasting-of-covid-19-methodology-evaluation-and-case-study-}, note = {Accessed: 2026-05-24}}
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