Scilab for Image Processing & Computer Vision

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Fundamental and Practical Hands-On with Scilab
Our IPCV module is base on famous OpenCV library, in which the power of both Scilab and OpenCV has been integrated to provide a quick solution for image processing and computer vision.
 
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Scilab for Kalman Filtering

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Practical Use of Kalman Filter with Scilab, Arduino and Webcam

Learn how to design your kalman filter with Scilab, and test the results with hardward such as Arduino Uno and Webcam!

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Scilab for the Internet of Things

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Exploring How Scilab Could Be Used for IOT

The Internet of Things (IoT) is a wide topic and this course would help the participants to learn the big pictures by using the open source software. 

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Scilab for Digital Control
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DCS and State Variable Methods for Conventional and Intelligent Control

Scilab provides standard algorithms and tools for control system study.

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Java Interaction Mechanism in Scilab

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Expanding the Power of Scilab with JAVA Libraries

Scilab could interface with other languages and this makes it more powerful and effective.

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Scilab for Speech Recognition

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Speech Recognition and The Hidden Markov Model with Scilab
The extension of the signal processing allows us to perform speech recognition with Scilab. It allows fast development due to the simple programming syntax of Scilab.
 
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Interfacing with Hardware from Scilab to Arduino

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Combining the Power of Open Source Software and Hardware with Scilab  

Scilab and Arduino are the famous open source software and hardware respectively. Combining the power of both makes the teaching, research and engineering work more efficient. 
 
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Numerical Methods with Scilab

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Practical Implementation of Scilab for Numerical Methods

Using open source Scilab for numerical methods studies and researches prepared the students for better job market competitiveness.

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Learning Support Vector Machines (SVM) Using SCILAB

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Theory and Applications of Support Vector Machines (SVM) Using SCILAB

Support Vector Machines is an important topic in machine learning. The development of SVMs involved sound theory first, then implementation and experiments.

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Digital Signal Processing using Scilabimage001

A comprehensive tools for digital signal processing

Scilab provides tools to visualize, analyze and filter signals in time and frequency domains. 

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