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
The modal parameters of a line-like structure are estimated in the time domain using displacement records only.
You can learn how to detect and localize anomalies on image using Convolutional Auto Encoder.
Simultaneously multivariate and multidimensional EMD
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 1.0.0MathWorks GPU Coder Community Profile
Example of real-time object detection using YOLO v2 on NVIDIA GPUs
version 1.13.01Loren Shure
Files from webinar for IRIS
A complete MEaSUREs grounding line, coast line, and mask dataset from Mouginot et al.
The University of Alabama’s EcoCAR Mobility Challenge CAV designs from Year 1 of the competition
The dynamic response of a suspension bridge to wind turbulence is computed in the frequency domain.
A midpoint displacement algorithm implementation for creating fractional Brownian motion images.
Access, interpolate, and plot DEM data