Tucker-LSTM hybrid reduces MSE by 70.5% for EV battery SOC prediction versus standard LSTM on full-lifecycle field data.
Attention-mechanism-based neural latent-factorization-of- tensors model,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Hybrid Tucker-LSTM Tensor Network Model for SOC Prediction in Electric Vehicles
Tucker-LSTM hybrid reduces MSE by 70.5% for EV battery SOC prediction versus standard LSTM on full-lifecycle field data.