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This file includes datasets and LSTM combined with PSO algorithm MATLAB code.
FE model updating in Python
Contains MATLAB implementation of damage identification algorithm
Investigation different methods to fuse data from different sensor like Gyroscope, Accelerometer, Magnetometer for sensor fusion algorithm
A simple Matlab example of sensor fusion using a Kalman filter
Conversion of structural health monitoring system acceleration data to velocity and displacement
Time-series Prediction, Wavelet, Convolution LSTM, Autoencoder, AR, VAR, LFP
Real time monitoring of highways
Code for spectral analysis
Spectral proper orthogonal decomposition in Matlab
Project for dynamic identification and structural health monitoring of real structures using statistical time series analysis
Stochastic Subspace Identification (SSI) method for Modal indentification,随机子空间法模态识别
Toolbox for analyzing bridges using ANN and other methods
This is a Structural Dynamics learning guide. I hope this guide can help you to learn Structural Dynamics easier.
ML algorithms on synthetically generated input data set for demonstration of my work in SHM
This GitHub package provides example MATLAB code for finite element model updating. The code offers selection of different updating formulations and optimization algorithms.
Frequency Domain Subspace Identification of Dynamical Systems
MATLAB Code for abnormal detection or fault detection using Support Vector Data Description (SVDD).
List of matlab/octave used in thesis "binaural" by bagustris
This content shows how to implement time series models provided by Deep Learning Toolbox and Econometrics Toolbox on Simulink model and to update them and forecast value at next time step recursively.
The Project was a study of how closely time series predictions and forecasting can be made on stochastic time models modelled using different artificial neural networks namely LSTM and GRU.
time-variant reliability analysis method
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model Updating.
🌏🌍🌎Translators🌎🌍🌏 is a library which aims to bring free, multiple, enjoyable translation to individuals and students in Python. Translators是一个旨在用Python为个人和学生带来免费、多样、愉快翻译的库。
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.