Swarm intelligence-optimized deep neural network for intelligent diagnosis of lithium‑ion battery state of health. [PDF]
Li C, Yan B, Zhu C, Zhou X, Jia Y.
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Enhanced Design and Characterization of a Wearable IMU for High-Frequency Motion Capture. [PDF]
Valdés-Tirado D +4 more
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SOC Prediction of Li-Ion Battery Based on EKF and CNN-BiLSTM-Attention. [PDF]
Zhu M, Wang Y, Wang D.
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A temperature- and impedance-aware LSTM-PINN framework for physically consistent battery SOH prediction. [PDF]
Kumar PN +5 more
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Sensors Innovations for Smart Lithium-Based Batteries: Advancements, Opportunities, and Potential Challenges. [PDF]
Mohammadi Moradian J +9 more
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Deep learning predicts real-world electric vehicle direct current charging profiles and durations. [PDF]
Li S +4 more
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Smart Strategies for Improving Electric Vehicle Battery Performance and Efficiency. [PDF]
Tangi S +4 more
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GrCRA PCRTAM net based hybrid approach for intelligent control and optimal power management in renewable integrated power distribution systems. [PDF]
Arulkumar S +8 more
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Temporal-aware transformer networks for state of charge multi-output prediction in unmanned aerial vehicle lithium-ion batteries. [PDF]
Hua M +6 more
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