Use machine learning to predict the damage costs of various 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.
The modal parameters of a line-like structure are automatically identified using an SSI-COV algorithm applied to ambient vibration data
Use MATLAB/Simulink to evaluate Grid Code Compliance, such as IEEE 1547
You can learn how to detect and localize anomalies on image using Convolutional Auto Encoder.
The modal parameters of a line-like structure are estimated in the time domain using displacement records only.
version 2.0.0Kei Otsuka
How to create, train simple network, integrate it into pre/post image processing and generate C code to run it on Raspberry Pi
version 1.13.01Loren Shure
Files from webinar for IRIS
Interactively Create Mask, and Semi-Automatically Label Volume Data Using 3-D Active Contour on the Labeler App
The dynamic response of a suspension bridge to wind turbulence is computed in the frequency domain.
The University of Alabama’s EcoCAR Mobility Challenge CAV designs from Year 1 of the competition
version 1.1.1E. Cheynet
A simple example of the computation and fitting of the ogive function for atmospheric turbulence
A complete MEaSUREs grounding line, coast line, and mask dataset from Mouginot et al.
Access, interpolate, and plot DEM data