Computer Science Department
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Recent News
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Doctoral dissertation in the Department of Computer Science discusses an intelligent framework for ransomware detection, protection and prevention
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Administrative Assistant at the Department of Computer Science is a member of the discussion committee of a master's student at Al-Mustansiriyah University
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Computer Science Department master's thesis discusses node failure detection using self-organization in wireless networks
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Master's thesis in the Department of Computer Science discusses identifying the spread of residential buildings from satellite images using deep learning technology
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Master's thesis in the Department of Computer Science discusses digital forensics-based camera model identification using SVM and deep neural network
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Doctoral dissertation in the Department of Computer Science discusses an improved bee's nest algorithm for solving real-world multi-party optimization problems
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Master's thesis in the Department of Computer Science discusses a model for bias and fairness processing in machine learning based on face recognition
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Computer Science Department Conducts Comprehensive Oral Exam for Graduate Students (PhD) Successful in the Second Trial
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Comprehensive examination for doctoral students in the Computer Science Department who passed the second round for the academic year 2023-2024
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In the Department of Computer Science, the end of the first semester exams for postgraduate studies (master's and doctoral studies) for the academic year 2024-2025
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Master's thesis in the Department of Computer Science discusses plant disease classification based on machine learning and metaheuristic optimization algorithm
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The Department of Computer Science for the first time opened Zoom to a supervisor to facilitate remote attendance at a master's thesis defense on audiovisual age estimation for security applications
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Master's thesis in the Department of Computer Science discusses the proposal of a lightweight encryption algorithm to secure multimedia transmission in clustered computing
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Master's thesis in the Department of Computer Science discusses an ECG recognition and annotation system based on deep learning technology