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APA4ort.xyz Knowledge Graph. (2026). A flexible RUL prediction method based on poly-cell LSTM with applications to lithium battery data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-flexible-rul-prediction-method-based-on-poly-cell-lstm-with-applications-to-lithium-battery-data
MLA“A flexible RUL prediction method based on poly-cell LSTM with applications to lithium battery data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-flexible-rul-prediction-method-based-on-poly-cell-lstm-with-applications-to-lithium-battery-data.
BibTeX@misc{4ortxyz_a-flexible-rul-prediction-method-based-on-poly-cell-lstm-with-applications-to-lithium-battery-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A flexible RUL prediction method based on poly-cell LSTM with applications to lithium battery data}}, year = {2026}, url = {https://4ort.xyz/entity/a-flexible-rul-prediction-method-based-on-poly-cell-lstm-with-applications-to-lithium-battery-data}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A flexible RUL prediction method based on poly-cell LSTM with applications to lithium battery data — https://4ort.xyz/entity/a-flexible-rul-prediction-method-based-on-poly-cell-lstm-with-applications-to-lithium-battery-data (retrieved 2026-05-24)
