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Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends

Research article (Alexandria Engineering Journal, 2022) · cited 262× · AI/ML
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Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends

Summary

Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends is a scholarly article[1].

Key Facts

  • Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparative-analysis-of-gated-recurrent-units-gru-long-short-term-memory-lstm-cells-autoregressive-integrated-moving-ave
MLA “Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparative-analysis-of-gated-recurrent-units-gru-long-short-term-memory-lstm-cells-autoregressive-integrated-moving-ave.
BibTeX @misc{4ortxyz_comparative-analysis-of-gated-recurrent-units-gru-long-short-term-memory-lstm-cells-autoregressive-integrated-moving-ave_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends}}, year = {2026}, url = {https://4ort.xyz/entity/comparative-analysis-of-gated-recurrent-units-gru-long-short-term-memory-lstm-cells-autoregressive-integrated-moving-ave}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends — https://4ort.xyz/entity/comparative-analysis-of-gated-recurrent-units-gru-long-short-term-memory-lstm-cells-autoregressive-integrated-moving-ave (retrieved 2026-05-24)

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