Home ›
Entities
› academia
› A novel hybrid model based on STL decomposition and one-dimensional convolutional neural networks with positional encoding for significant wave height forecast
A novel hybrid model based on STL decomposition and one-dimensional convolutional neural networks with positional encoding for significant wave height forecast
Research article (Renewable Energy, 2021) · cited 117× · AI/ML
A novel hybrid model based on STL decomposition and one-dimensional convolutional neural networks with positional encoding for significant wave height forecast
Summary
A novel hybrid model based on STL decomposition and one-dimensional convolutional neural networks with positional encoding for significant wave height forecast is a scholarly article[1].
Key Facts
A novel hybrid model based on STL decomposition and one-dimensional convolutional neural networks with positional encoding for significant wave height forecast'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). A novel hybrid model based on STL decomposition and one-dimensional convolutional neural networks with positional encoding for significant wave height forecast. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-hybrid-model-based-on-stl-decomposition-and-one-dimensional-convolutional-neural-networks-with-positional-encodi
MLA“A novel hybrid model based on STL decomposition and one-dimensional convolutional neural networks with positional encoding for significant wave height forecast.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-hybrid-model-based-on-stl-decomposition-and-one-dimensional-convolutional-neural-networks-with-positional-encodi.
BibTeX@misc{4ortxyz_a-novel-hybrid-model-based-on-stl-decomposition-and-one-dimensional-convolutional-neural-networks-with-positional-encodi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel hybrid model based on STL decomposition and one-dimensional convolutional neural networks with positional encoding for significant wave height forecast}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-hybrid-model-based-on-stl-decomposition-and-one-dimensional-convolutional-neural-networks-with-positional-encodi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel hybrid model based on STL decomposition and one-dimensional convolutional neural networks with positional encoding for significant wave height forecast — https://4ort.xyz/entity/a-novel-hybrid-model-based-on-stl-decomposition-and-one-dimensional-convolutional-neural-networks-with-positional-encodi (retrieved 2026-05-24)