PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...

Abstract: A variety of ways has been established to detect defects found on printed circuit boards (PCB). In previous studies, defects are categories into seven groups with a minimum of one defect and ...

This example includes how to preprocess the data, how to use the deep learning toolbox of MATLAB to build and visualize the neural network, and how to output the characteristics of a certain layer of ...

Emotion classification based on brain–computer interface (BCI) systems is an appealing research topic. Recently, deep learning has been employed for the emotion classifications of BCI systems and ...

Abstract: In this work, performance of 5 different supervised learning algorithms from MATLAB Classification learner toolbox for microwave stroke detection and classification was tested and the ...

A Matlab plugin, built on top of Caffe framework, capable of learning deep representations for image classification using the MATLAB interface – matcaffe & various pretrained caffemodel binaries ...

Natick, MA. MathWorks has introduced Release 2016a (R2016a) of its MATLAB and Simulink product families. This release includes the MATLAB Live Editor, which offers the ability to write, run, and ...