Explore data and use machine learning to predict the damage costs of storm events based on location, time of year, and type of event
The example trains a Machine Learning Model to forecast the number of covid-19 cases given the number of cases in previous days.
You can learn how to detect and localize anomalies on image using Convolutional Auto Encoder.
A complete MEaSUREs grounding line, coast line, and mask dataset from Mouginot et al.
The modal parameters of a line-like structure are estimated in the time domain using displacement records only.
Creation of fractal curves, surfaces, & volumetric density as well as techniques to measure 1D, 2D, and 3D fractal dimension and fractalness
Matlab Programming for beginners and intermediate learners
The dynamic response of a suspension bridge to wind turbulence is computed in the frequency domain.
Numerical implementation of the uniform-shear model by Mann (1994)
Matlab Programming for Beginners and Intermediate learners - Live Script
Some simple examples to show ways set up models to interact between the Live Editor and Simulink and Simscape models.
Use MATLAB/Simulink to evaluate Grid Code Compliance, such as IEEE 1547
The modal parameters of a line-like structure are automatically identified using an SSI-COV algorithm applied to ambient vibration data
version 1.13.01Loren Shure
Files from webinar for IRIS
version 1.1.1E. Cheynet
A simple example of the computation and fitting of the ogive function for atmospheric turbulence