Data-Driven Prediction of <i>Limnospira platensis</i> (<i>Spirulina</i>) Biomass from Experimental Time-Series Data
Accurate short-term forecasting of <i>Limnospira platensis</i> biomass is essential for optimizing experimental scheduling and cultivation strategies, yet small datasets and strong temporal autocorrelation pose significant challenges for model reliability. In this study, we developed a leakage-safe,...
I tiakina i:
| Ngā kaituhi matua: | , , , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2026-05-01
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| Rangatū: | Biomass |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2673-8783/6/3/41 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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