| Rajab Natshah |
Web Developer at Vardot
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| E-mail: |
This e-mail address is being protected from spambots. You need JavaScript enabled to view it
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| Telephone: |
[00962] 064480075 |
| Mobile: |
[00962] 0797475851 |
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http://rajab.natshah.com |
| Information: |
Employing the use of artificial intelligence with the concept of Standard Neural Networks Development. |
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| Download information as a vCard |
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BSc. , Computer Science, Zarqa University, Jordan, 2003. |
| Certificate Name |
From |
| Attended and presented a paper entitled "Neural Networks Tools for Arabic Script Classification " |
4th International Arab Conference on Information Technology ( ACIT'2003 )
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| Intelligence Certificate |
Yuobeel school, Jordan
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| IELTS ACADEMIC Overall Band Score 5.5 |
International House, London
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| Excellence certificate |
Manja school, Jordan
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| Good Conduct And Deportment |
Imam Al-shafie, Saudi Arabia
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Internet Technology : PHP, MySQL, XHTML, CSS, JavaScript.
CMS: Joomla, Drupal, Magento, vBulletin, and phpBB.
Components/Modules Development using MVC (Model, View, Controller)
Databases: MySQL , Microsoft SQL Server, and Oracle .
Programming Languages : C++/C
Others: Visual C++ ; Visual C# ;Visual Basic ; Java ; Pascal ; and Prolog.
Frameworks : QT, MFC, .NET, ATL, and Java.
Embedded Programming : PICmicro Microcontroller using PIC C Compiler, FPGA using Handel-C.
Operating Systems : Linux, And Windows.
Fast Typing : English, Arabic. |
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Neural Networks Tool for Arabic Script Classification . A neural network that combines some properties of perceptron net with ADALINE net is developed for classification of Arabic script. It is based on supervised learning or with tutor technique. A software tool is designed for training and testing any set of character combinations or fonts. The circuit is tested for various combination sets of Arabic characters with different fonts and sizes. The network exhibited high recognition and low error rates having reasonable tolerance to some noise level.
This Project submitted as paper for publication, Attended and presented in ACIT 2003 in June 2003.
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Artificial Neural Networks
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20*20 points of script recognition for English Alphabet and Arabic numerals.
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Segmentation, edge detection, and apply Pattern recognition systems using C++.
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Design 7 light segments using basic logic gates.
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Design sample CPU Processor. And sample BUS system.
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Design Memory extending & multiplication system RAM.
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Developed an Application Tool which Generates code (C++, Basic) for some sort finite state machine descriptions, DFA, NDFA.
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Developed an era estimation system in real time for size of 20*20 cm, and the example was about sizing hands.
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Reprogram the Lexical analyzer for C++ using just C. with the flex tools
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Using Chip-sets in electronic circuits, full adder, decoder, Encoder, Multiplexers. And work with analog channels.
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Developed a simple forum system using PHP & MySQL, It was starting point for the Visual C For Arab www.vc4arab.com community website. Team of three.
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