alisami

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Ihab Mahmood Abdulhadi

Cinque Terre

Ihab Mahmood Abdulbari

Studies and Planning Department

Assistant Lecturer

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Ihab Mahmood Abdulhadi, received the Bachelor's degree in food industries from Faculty of Agriculture, Baghdad University, Iraq in 2009 and Master's degree in food technology from the Neelain University in Khartoum, Sudan in 2017,. He is a staff member of the Studies and Planning Department, University of Technology- Iraq.

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M.Sc., Food Technology, Neelain University, Khartoum, Sudan, 2017.

B.Sc., Food Industries, Faculty of Agriculture, Baghdad University, Iraq, 2009.

Food Technology

Study of the Physicochemical and Microbiological Properties of Mozzarella Cheese Coated with Edible Casings Subsidized with Green Tea.
Ihab M Abdulhadi, Mahdi A Shakak, Kifah S Doosh
Journal of Applied Sciences and Nanotechnology

Preparation of edible casings with natural biological characteristics from green tea extract.
Ihab Mahmood Abdulhadi, Mahdi Abbas Shakkak, Maha Fadul Mohammed El-Balloula, Kifah Saeed Dosh
Journal of Physics: Conference Series

Assessment of heavy metals and radioactivity concentrations in Iraqi truffles
Ehab M. Abdul Hadi Sahar A. Amin , Afaf A. Alsabagh , Athmar A. Abdul Majeed , Ali N. Ali
International Journal of Physical Research

دراسة تأثير أستخدام الانيولين كبديل عن الدهون في الخصائص الفيزيوكيمائية والحسية لجبن التشدر منخفض الطاقة
ايهاب محمود عبد الهادي ، ريا هارون ، كفاح سعيد دوش
مجلة الأنبار للعلوم البيطرية

Rawaa Sabah Hussein

Cinque Terre

Rawaa holds a Bachelor in Computer Science from Al-Mammon University College, Baghdad-Iraq in 2005, a Master degree in Computer Science from University of Technology, Baghdad-Iraq, in 2022.

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Msc., Computer Sciences, University of Technology- Iraq, 2022.

Bsc., Computer Sciences, Al-Mammon University College (MUC), 2005.

Artificial intelligence,
Pattern recognition,
Video processing

Video-based sharp instruments detection for children safety using YOLOv3
Rawaa Sabah Hussein, Nuha Jameel Ibrahim, Ahmed T. Sadiq
2023, 572, pp. 749–761

Surveillance system to detect dangerous objects for children using YOLOv3 algorithm.
Rawaa Sabah Hussein, Ahmed T. Sadiq, Nuha Jameel Ibrahim
AIP Conf. Proc. 2977, 020072 (2023) Volume 2977, Issue 1 22 December 2023

Machine Learning

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Static Websites Programming

Natural Languages Programming

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