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Fusheng Jiang's Projects

cnn-astlstm icon cnn-astlstm

Code for paper "An end-to-end neural network framework for SOH estimation and RUL prediction of lithium battery"

genetic-algorithm icon genetic-algorithm

Classical Genetic Algorithm implementation: an example of optiimizing the maximum efficiency of the enterprises

informer2020 icon informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

lib-soh-prediction icon lib-soh-prediction

A prediction model to estimate the state of health (SOH) of a lithium-ion battery (LiB) in real-time based on temperature, voltage, and current measurements. Based on the 2007 NASA Ames research center lithium-ion battery data set

mean-teacher icon mean-teacher

A state-of-the-art semi-supervised method for image recognition

ml-nlp icon ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

nasa_li-ion_battery_soh_prediction_with_mvip-trans icon nasa_li-ion_battery_soh_prediction_with_mvip-trans

This research provides a prognostic framework for off-line SOH estimation of Li-ion battery. With a CNN-Transformer architecture, this program is capable of modeling the temporal correlations of battery signals from both local and global views. In this way, the learning ability of both local features and long period contexts will be enhanced.

pcnn icon pcnn

Physically Consistent Neural Networks

pinn-battery-prognostics icon pinn-battery-prognostics

State of Health (SoH) and Remaining Useful Life (RUL) prediction for Li-ion batteries based on Physics-Informed Neural Networks (PINN).

rul icon rul

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

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