[Elsevier] Limits of electrochemical data for predicting battery lifetime and failure |
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The application of machine learning methods for prediction of heavy metal by activated carbons, biochars, and carbon nanotubes
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Leveraging shape screening and molecular dynamics simulations to optimize PARP1-Specific chemo/radio-potentiators for antitumor drug design
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Multimodal fusion of spatial每temporal and frequency representations for enhanced ECG classification
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A multi-method framework for unveiling nonlinear and interactive drivers of vegetation restoration: a case study in the South China Karst
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Precision agriculture based on convolutional neural network in rice production nutrient management using machine learning genetic algorithm
