a small animated movie of creating a graphic shown in image.

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, NB, and etc., which are simpler and easy to implement.

A novel socio-inspired meta-heuristic for global optimization.

This toolbox contains 6 types of neural networks, which is simple and easy to implement.

Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.

Application of principal component analysis (PCA) for feature reduction.

Adds a menu item and keyboard shortcut Ctrl+Shift+F to show/hide a block name.

Optimization method to determine the minimum distance (or max overlap) between two SuperEllipsoids?

Supports the creation of a Simulink module, syntactic interfaces, and checking related guidelines.

Ma(e)stroStack: a Matlab class to automatically align and stack astro-photography images

Read RAW camera images from within Matlab, using DCRAW or LibRAW

MATLAB Instrument Driver for use with PicoScope 4000 Series oscilloscopes (Beta Release)

A univariate scatter plot for matlab

MATLAB Toolbox for working with high-dimensional tensors in the Tensor-Train (TT)-format

Brainstorm: Open source application for MEG/EEG data analysis

How to create, train and evaluate FCN-AlexNet for semantic segmentation

Convert numbers to engineering notation strings, or use SI-prefixes instead. Offers extensive customisation. Also works on axes tick labels.

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 app is used for QSP Modeling and Simulation.

Toolbox for Quantitative Image Analysis