Home ›
Entities
› academia
› Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory
Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory
Research article (Ecological Informatics, 2025) · cited 16× · AI/ML
Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory
Summary
Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory is a scholarly article[1].
Key Facts
Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory'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). Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-daily-reference-evapotranspiration-forecasts-designing-ai-enabled-recurrent-neural-networks-based-long-short-t