Cross-attention-based hybrid feature fusion network for state-of-health estimation of lithium-ion batteries. [PDF]
Sci RepZhao Y +6 more
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Machine learning-driven time series analysis for SOH prediction of lithium-ion batteries. [PDF]
Sci RepZhang Y, Bi X, Wang S, Tao B.
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Generating imperceptible adversarial examples via low-frequency aware transfer attacks on battery management systems. [PDF]
Sci RepMin K +5 more
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Coronary artery calcium should be the complement to and not the end result of clinical risk scores. [PDF]
Am J Prev CardiolBrandt EJ, Bhattacharya R.
europepmc +1 more source
Prognostics by generalists: large language models for lithium-ion batteries health forecasting. [PDF]
Sci RepWong KL +5 more
europepmc +1 more source
Data-Driven Health Prognostics of NMC Lithium-Ion Batteries via Impedance Spectroscopy Using a Hybrid CNN-BiLSTM Model. [PDF]
Sensors (Basel)Liu Z +5 more
europepmc +1 more source
MI-SOH: a multi-indicator feature dependency model for lithium-ion battery state-of-health Estimation. [PDF]
Sci RepZhuo S, Zou F, Liao L, Cai X.
europepmc +1 more source
Do Elderly Patients Achieve Comparable Functional and Quality-of-Life Improvements After Anterior Cervical Discectomy and Fusion for Degenerative Cervical Myelopathy? [PDF]
Global Spine JLim JTE +6 more
europepmc +1 more source
A Hybrid SWVMD-iTransformer Framework for Online SOH Estimation of Lithium-Ion Batteries. [PDF]
ACS OmegaWang Y, Fang P, Zhou B, Ming A.
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Erratum: Battery SOH estimation based on thermodynamic parameters from an electrochemical fractional-order model and LSTM. [PDF]
iScienceWang JV +5 more
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