On the robustness of CNN-augmented sequential models for Li-ion battery RUL prediction under data scarcity
收藏Figshare2025-11-22 更新2026-04-08 收录
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https://figshare.com/articles/dataset/On_the_robustness_of_CNN-augmented_sequential_models_for_Li-ion_battery_RUL_prediction_under_data_scarcity/30281824/3
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资源简介：
Source code and datasets <b>for</b> the manuscript titled "On the robustness of CNN-augmented sequential models for Li-ion battery RUL prediction under data scarcity".
为题为《数据稀缺场景下面向锂离子电池剩余使用寿命（Remaining Useful Life, RUL）预测的卷积神经网络（Convolutional Neural Network, CNN）增强序列模型的鲁棒性研究》的学术稿件配套的源代码与数据集
提供机构：
Zhang, Jie
创建时间：
2025-11-22
