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jcoeduw-323
Sociological Directions Among Iraqi Scholars: Sociological Directions Among Iraqi Scholars
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Abstract
This study concerned of scientific analysis of sociological directions
among Iraqi scholars graduated before 1960. These directions was divided
between heritage, conflict, critical and symbolic interaction. It is important to
mention that Al-Wardi scholar tried to build a theory in Sociology focused on
the image of Iraqi personality through historical approach used by Arabian
scholar Ibn-Khaldon.

 

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Publication Date
Tue Oct 01 2024
Journal Name
جامعة بغداد
محاضرة3 علم الفطريات النظري
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Publication Date
Tue Oct 01 2024
Journal Name
جامعة بغداد
محاضرة2 علم الفطريات النظري
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Publication Date
Fri Nov 01 2024
Journal Name
جامعة بغداد
محاضرة5 علم الفطريات النظري
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Publication Date
Sun Nov 10 2024
Journal Name
جامعة بغداد
محاضرة6 علم الفطريات النظري
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Publication Date
Sun Nov 24 2024
Journal Name
جامعة بغداد
محاضرة8 علم الفطريات النظري
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Publication Date
Fri Nov 15 2024
Journal Name
مجلة الاستاذ للعلوم الانسانية والاجتماعية
علم القراءات ومراحله التاريخية
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يهدف البحث الى بيان المراحل التاريخية التي مرت بها القراءات القرانية حتى وصلت اليناى علما متكاملا قائما على اصوله

Publication Date
Tue Oct 01 2024
Journal Name
جامعة بغداد
محاضرة1 علم الفطريات النظري
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Publication Date
Tue Oct 01 2024
Journal Name
جامعة بغداد
محاضرة4 علم الفطريات النظري
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Publication Date
Sun Nov 17 2024
Journal Name
جامعة بغداد
محاضرة7 علم الفطريات النظري
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Publication Date
Tue Jan 31 2023
Journal Name
International Journal Of Nonlinear Analysis And Applications
Survey on intrusion detection system based on analysis concept drift: Status and future directions
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Nowadays, internet security is a critical concern; the One of the most difficult study issues in network security is "intrusion detection". Fight against external threats. Intrusion detection is a novel method of securing computers and data networks that are already in use. To boost the efficacy of intrusion detection systems, machine learning and deep learning are widely deployed. While work on intrusion detection systems is already underway, based on data mining and machine learning is effective, it requires to detect intrusions by training static batch classifiers regardless considering the time-varying features of a regular data stream. Real-world problems, on the other hand, rarely fit into models that have such constraints. Furthermor

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