wjx-mel's Stars
VNemani14/UQ_ML_Tutorial
Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Comprehensive Review"
NickHan-cs/Spatio-Temporal-Data-Mining-Survey
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
mxt0607/Two_Stage_RUL_Prediction
The code is for the paper "Ma et al. A Two-Stage Integrated Method for Early Prediction of Remaining Useful Life of Lithium-ion Batteries"
Dhruvadityamittal/RUL_Prediction_of_LIB_using_Spatio_temporal_Multimodal_Attention_Networks
Code for Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks
wpy1229/RULUncerty-MMMe-
Rul prediction of lithium-ion batteries based on MMMe model,Details can be found in the paper “A MLP-Mixer and Mixture of Expert Model for Remaining Useful Life Prediction of Lithium-ion Batteries”.
ZhaoZhibin/Probabilistic_RUL_Prediction
liuzh-buaa/ST-nFBST
[IJCAI2024] A PyTorch implementation of Full Bayesian Signficance Testing for Neural Networks in Traffic Forecasting
yuanzhongqiao/PV_defect_detection
Multi-label defect detection for Solar Cells from Electroluminescence images of the modules, using Deep Learning
baifanxxx/awesome-active-learning
A curated list of awesome Active Learning
HymHust/fault_diagnosis_hym
Code sharing of fault diagnosis papers.
wswen/Energitic-project-1
This study pioneers E-LSTM and CNN-LSTM deep learning models for precise Lithium-Ion Battery State of Health (SOH) prediction. Using MIT's battery dataset, our interpretable models, enhanced by Shapley Additive exPlanations and pattern mining, offer promising results.
DariusRoman/Machine-learning-pipeline-for-battery-state-of-health-estimation
Code for "Machine learning pipeline for battery state-of-health estimation"
zhangshaowenbenren/Relaxation-voltage
Code for paper: Voltage relaxation-based state-of-health estimation of lithium-ion batteries using convolutional neural networks and transfer learning.
KiKi0016/State-of-Health-Estimation-of-Electric-Vehicle-Batteries-Using-DeTransformer
Deep learning of lithium-ion battery SOH using the DeTransformer model learns the aging characteristics of the battery and then makes predictions about the battery SOH in order to monitor the health of batteries in electric vehicles.
KeiLongW/decentralized-battery-health-forecast
Decentralized Deep Learning Approach for Lithium-Ion Batteries State of Health Forecasting Using Federated Learning.
zshicode/MambaLithium
MambaLithium: Selective state space model for remaining-useful-life, state-of-health, and state-of-charge estimation of lithium-ion batteries
hilbert-qyw/Transfer-Learning-based-State-of-Health-Estimation-for-Lithium-ion-Battery
TuomasJalonen/motor-fault-icit2024
IWantBe/TCTL-for-cross-load-fault-diagnosis
Python code for TCTL method
zhiqan/SeGMVAE
A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis
WillHua127/ACM-GNN
PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework
WillHua127/GraphKAN-Graph-Kolmogorov-Arnold-Networks
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
HymHust/MSMCNN
Keras codes for MSMCNN
BUPT-GAMMA/GFMPapers
Must-read papers on graph foundation models (GFMs)
CoVIS-UNT/Label-Information-Vector-Generative-Zero-shot-Model
This is the code of paper "A Label Information Vector Generative Zero-shot Model for the Diagnosis of Compound Faults"
lmy1997/tuxiaoshi
albertszg/DFAWnet
code for DFAWnet
Charmve/Surface-Defect-Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
GCS-ZHN/ml-repos
很棒的列表,主要是机器学习、深度学习、NLP、GNN、推荐系统、生物医药、机器视觉等内容。持续更新!欢迎star!欢迎star!😀😀😀