[Elsevier] Supercapacitor performance of binary metal oxide copper (II) oxide-汕＊-molybdenum oxide nanocomposites for energy storage applications |
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An optimized convolutional neural network and selective state-space model for accurate state of charge estimation of lithium-ion batteries across wide temperature ranges and driving cycles
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Value of cognitive interviewing in the development of the weight stigma in healthcare inventory
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Advancements of lithium-ion battery Recycling: Transitioning from traditional methods to AI and machine learning techniques
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Toward large-scale lithium-ion battery energy storage systems: State of health estimation of battery clusters based on deep learning
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Recent progress in state of health estimation for lithium-ion batteries: From laboratory to practical application
