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CSM Department at Kufa University Cooperates ,with an International Vision, to Fight Against Drugs.

To promote health awareness and fight against drugs the Faculty of Computer Science and Mathematics (CSM) at the University of Kufa held a scientific workshop on drugs and their psychological and physical effects on the Iraqi Society. The workshop was presented by Asst. Prof. Dr. Meethaq Abdul Muslim Jawda from …

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The Faculty of Computer Science and Mathematics discussed a doctoral thesis entitled “Security Cloud System for Malware Detection based on Data Mining Techniques”.

‪The dissertation presented by PhD student Ghaith Mussa Hamza, under the supervision of Asst. Prof. Dr. Karim Kredee. The research focuses on developing a cutting-edge security cloud system for malware detection, using innovative data mining techniques to overcome the challenges in cloud security. This comprehensive system involves multiple stages, including …

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The Faculty of Computer Science and Mathematics discussed a doctoral thesis entitled “Human Activity Prediction Based on Deep Learning”

The thesis presented by PhD student Mohammed Khalaf Raheem, under the supervision of Professor Dr. Ali Hilal. This intriguing research explores the application of Deep Learning techniques to predict human activities using sensor data from four different public datasets. The researchers introduced an innovative model that pioneers the extraction and …

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The Faculty of Computer Science and Mathematics discussed a doctoral dissertation entitled “Heart Disease Classification System Using Effective Artificial Intelligence Techniques”.

This dissertation is presented by PhD student Zahraa Jafat Aliwi , under the supervision of Professor Dr. Ebtisam Abdullah and Asst. Prof. Dr. Salam Al-augby. This dissertation introduces a classification system using effective artificial intelligence techniques. This work evaluated the creation of artificial intelligence prediction models that are faster, more …

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Master’s thesis at the faculty of Computer Science and Mathematics discussed (A study of approximation solutions of backward doubly fuzzy stochastic differential equations)

The Faculty of Computer Science and Mathematics, Department of Mathematics, discussed the master’s thesis entitled (A study of approximation solutions of backward doubly fuzzy stochastic differential equations) for a master’s student (Hassan Khalil Ismail) and under the supervision of (Asst. Prof. Dr. Falah Hassan Sarhan). This thesis presented a study …

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Master’s thesis at the faculty discusses “Generalizations of Partial Measures Extracted from Patterns Explored”

The Faculty of Computer Science and Mathematics, Department of Computer Science, discussed the master’s thesis titled “Generalizations of Partial Measures Extracted from Patterns,” authored by student Ali Isma’il Abdul Ali. The study aims to explore various concepts, including partial measures extracted from patterns, along with some fundamental properties and theorems. …

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Master’s Thesis at the Faculty of Computer Science and Mathematics, Department of Computer Science Discussing the “IOT TAG IDENTIFICATION UNDER BLOCKCHAIN”

The Faculty of Computer Science and Mathematics, Department of Computer Science, discussed the master’s thesis titled “IOT TAG IDENTIFICATION UNDER BLOCKCHAIN” by the student Hamsa Hussain Abdul Sada. This study aims to create a decentralized application that protects rare genes within nature reserves as a first step, and suggests a …

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Master’s Thesis at The Faculty of Computer Science and Mathematics, Department of Computer Science Discussing the “Image Encryption using Individually Inverted Cubic Curves

The Faculty of Computer Science and Mathematics, Department of Computer Science, discussed the Master’s thesis titled “Image Encryption Using Individually Inverted Cubic Curves” by Mohammad Jabbar Obeid. The study aims to propose an algorithm for asymmetric image encryption based on individually inverted cubic curves and chaotic functions. This innovative algorithm …

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Master’s thesis at the faculty discussing the detection of fake reviews based on content mining using textual and behavioral features.

The Faculty of Computer Science and Mathematics, Department of Computer Science, discussed the Master’s thesis titled “Detection of Fake Reviews based on Content Mining using Textual and Behavioral Features” by the student Lina Shuja Abd Al-Zahra. The study aims to propose various methods and techniques as potential solutions to the …

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