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A Novel Method for State of Health Estimation of Lithium-Ion Batteries Based on Deep Learning Neural Network and Transfer Learning

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Unlocking Interpretable Prediction of Battery Random Discharge Capacity With Domain Adaptative Physics Constraint

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Predicting the Future Capacity and Remaining Useful Life of Lithium-Ion Batteries Based on Deep Transfer Learning

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Echo State Network With Probabilistic Regularization for Time Series Prediction

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Multi-object detection and behavior tracking of sea cucumbers with skin ulceration syndrome based on deep learning

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A CNN‐LSTM Method Based on Voltage Deviation for Predicting the State of Health of Lithium‐Ion Batteries

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Automatically constructing a health indicator for lithium-ion battery state-of-health estimation via adversarial and compound staked autoencoder

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Implementing High‐Throughput Screening of Organic Solar Cells using Transfer Learning Based on Fine‐Tuning Neural Network Strategy

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