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Time Series Analysis and Forecasting Using a Novel Hybrid LSTM Data-Driven Model Based on Empirical Wavelet Transform Applied to Total Column of Ozone at Buenos Aires, Argentina (1966–2017)
Research article (Atmosphere, 2020) · cited 28× · AI/ML
Time Series Analysis and Forecasting Using a Novel Hybrid LSTM Data-Driven Model Based on Empirical Wavelet Transform Applied to Total Column of Ozone at Buenos Aires, Argentina (1966–2017)
Summary
Time Series Analysis and Forecasting Using a Novel Hybrid LSTM Data-Driven Model Based on Empirical Wavelet Transform Applied to Total Column of Ozone at Buenos Aires, Argentina (1966–2017) is a scholarly article[1].
Key Facts
Time Series Analysis and Forecasting Using a Novel Hybrid LSTM Data-Driven Model Based on Empirical Wavelet Transform Applied to Total Column of Ozone at Buenos Aires, Argentina (1966–2017)'s instance of is recorded as scholarly article[2].
References
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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). Time Series Analysis and Forecasting Using a Novel Hybrid LSTM Data-Driven Model Based on Empirical Wavelet Transform Applied to Total Column of Ozone at Buenos Aires, Argentina (1966–2017). Retrieved May 24, 2026, from https://4ort.xyz/entity/time-series-analysis-and-forecasting-using-a-novel-hybrid-lstm-data-driven-model-based-on-empirical-wavelet-transform-ap
MLA“Time Series Analysis and Forecasting Using a Novel Hybrid LSTM Data-Driven Model Based on Empirical Wavelet Transform Applied to Total Column of Ozone at Buenos Aires, Argentina (1966–2017).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/time-series-analysis-and-forecasting-using-a-novel-hybrid-lstm-data-driven-model-based-on-empirical-wavelet-transform-ap.
BibTeX@misc{4ortxyz_time-series-analysis-and-forecasting-using-a-novel-hybrid-lstm-data-driven-model-based-on-empirical-wavelet-transform-ap_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Time Series Analysis and Forecasting Using a Novel Hybrid LSTM Data-Driven Model Based on Empirical Wavelet Transform Applied to Total Column of Ozone at Buenos Aires, Argentina (1966–2017)}}, year = {2026}, url = {https://4ort.xyz/entity/time-series-analysis-and-forecasting-using-a-novel-hybrid-lstm-data-driven-model-based-on-empirical-wavelet-transform-ap}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Time Series Analysis and Forecasting Using a Novel Hybrid LSTM Data-Driven Model Based on Empirical Wavelet Transform Applied to Total Column of Ozone at Buenos Aires, Argentina (1966–2017) — https://4ort.xyz/entity/time-series-analysis-and-forecasting-using-a-novel-hybrid-lstm-data-driven-model-based-on-empirical-wavelet-transform-ap (retrieved 2026-05-24)
