Dr. Qeethara Al-Shayea
About University
Al-Zaytoonah Private University of Jordan (henceforth, Al-Zaytoonah) was established in 1993 after receiving its license and general accreditation by Decision No. 848 on March 6, 1993. Instruction began on September 6, 1993, and since then Al-Zaytoonah has witnessed ... Read more
Academic & Administrative Staff
There are 300 faculty members of various ranks distributed among the six faculties of the University, and 80 teaching and research assistants and lab technicians. In addition, there are 210 administrative employees and 260 workers.

Al Zaytoonah University of Jordan

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الرقم

القسم

عنوان البحث

تحميل البحث

1

نظم معلومات ادارية

Prediction of Customer Behavior on RFMT model using Artificial Neural Networks

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نظم معلومات ادارية

Evaluating Marketing Campaigns of Banking Using Neural Networks

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Artificial neural networks for medical diagnosis using biomedical dataset

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Artificial Neural Networks in Medical Diagnosis

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نظم معلومات ادارية

Customer Behavior on RFMT Model Using Neural Networks

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نظم معلومات ادارية

Efficient 3D Object Visualization via 2D Images

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نظم معلومات ادارية

EVALUATING CREDIT RISK USING ARTIFICIAL NEURAL NETWORKS

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8

نظم معلومات ادارية

Evaluating Marketing Campaigns of Banking Using Neural Networks, The 2013 International Conference of Computational Intelligence and Intelligent Systems (ICCIIS’13), London, UK

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9

نظم معلومات ادارية

Evaluation of Banks Insolvency Using Artificial Neural Networks

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10

نظم معلومات ادارية

Ground Penetrating Radar Slice Reconstruction for Embedded Object in Media with Target Follow

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نظم معلومات ادارية

Neural Networks in Bank Insolvency Prediction

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12

نظم معلومات ادارية

Object Tracking Information System Based on Statistical Measurements

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13

نظم معلومات ادارية

Predicting Students’ Academic Performance Using Artificial Neural Networks: A Case Study

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14

نظم معلومات ادارية

Predicting the Effects of Medical Waste in the Environment Using Artificial Neural Networks: A Case Study

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15

نظم معلومات ادارية

Prediction of Customer Behavior on RFMT Model Using Artificial Neural Networks, Business Research Yearbook (BRY), 2011, USA.

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16

نظم معلومات ادارية

The Effect of Image Compression on Face Recognition Algorithms

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17

نظم معلومات ادارية

Unidirectional Error Correcting Codes for Memory Systems: A Comparative Study

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نظم معلومات ادارية

Urinary System Diseases Diagnosis Using Artificial Neural Networks

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C.V

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Contact

Please don’t hesitate to contact me for more information about my work.

Tel: +962-6-4291511
Fax: +962-6-4291432

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