it use Machine Learning in MATLAB to predict the buying-decision of Stock by using real life data.
The modal parameters of a line-like structure are automatically identified using an SSI-COV algorithm applied to ambient vibration data
Use machine learning to predict the damage costs of various storm events based on location, time of year, and type of event
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
You can learn how to detect and localize anomalies on image using Convolutional Auto Encoder.
Getting Started with Deep Learning Semantic Segmentation using your own image dataset
Simultaneously multivariate and multidimensional EMD
version 1.13.01Loren Shure
Files from webinar for IRIS
Learn how to use MATLAB to perform cash flow analysis, duration gap computation, and sensitivity analysis.
The modal parameters of a line-like structure are estimated in the time domain using displacement records only.
The University of Alabama’s EcoCAR Mobility Challenge CAV designs from Year 1 of the competition
The provided function converts your latex (generated from a live script) to markdown.
A complete MEaSUREs grounding line, coast line, and mask dataset from Mouginot et al.
The dynamic response of a suspension bridge to wind turbulence is computed in the frequency domain.
version 1.1.1E. Cheynet
A simple example of the computation and fitting of the ogive function for atmospheric turbulence
Access, interpolate, and plot DEM data