huzaifi18 / RUL_prediction
The project focused on "Battery Remaining Useful Life (RUL) Prediction using a Data-Driven Approach with a Hybrid Deep Model combining Convolutional Neural Networks (CNN) and Long-Short Term Memory (LSTM)." This repository aims to revolutionize battery health estimation by leveraging the power of deep learning to predict the remaining useful life
RepositoryStats indexes 584,777 repositories, of these huzaifi18/RUL_prediction is ranked #439,919 (25th percentile) for total stargazers, and #422,609 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #83,723/116,437.
huzaifi18/RUL_prediction has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.
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updated: 2024-11-20 @ 02:02pm, id: 674123623 / R_kgDOKC5PZw