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Spectral proper orthogonal decomposition in Matlab
Matlab Toolbox for Bayesian Estimation
This GitHub package provides example MATLAB code for finite element model updating. The code offers selection of different updating formulations and optimization algorithms.
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.
OpenCossan represents the core of COSSAN software. All the algorithms and methods have been coded in a matlab toolbox allowing numerical analysis, reliability analysis, simulation, sensitivity, opt…
Wind speed prediction using machine learning algorithms and time-series models
Neuro Fuzzy Models using Metaheuristic Algorithms for Short Term Wind Speed Forecasting
Smartphone based Structural Health Monitoring (SHM)
ML algorithms on synthetically generated input data set for demonstration of my work in SHM
Using Machine Learning to eliminate temperature variability in SHM applications
2DOF model updating problem considering uncertainty including implementations of TMCMC, MCGO and meta-MCGO
Modeling and visualizing the wind force loads on high-rise structures from data collected in wind tunnel experiments.
Detrended fluctuation analysis (DFA) is a scaling analysis method used to estimate long-range power-law correlation exponents in noise signals. Hu, K. et al (2001). "Effect of trends on detrended f…
Dynamics of Mechanical Systems Course Project - PoliMI. Analysis of a truss bridge. Author: Russo Alessio
Zhen001 / ModeLAB
Forked from alxhslm/ModeLABMATLAB toolbox for performing modal analysis using experimental data
Pattern Recognition using sensor data and Machine Learning.