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The Department of Computer Science discussed the doctoral dissertation tagged An Interactive Synthesis of An Animation Method based on Tracking A user's Utterance and Facial Expression "Creating a face image and reproducing sound for an animation video using deep learning" by student Suha Muhammad Salih on the discussion hall in the building of the Department of Computer Science. The thesis aims to generate facial movements and reproduce sound for animation video to facilitate the process of making films. Very good results were obtained in generating facial movements and reproduce sound with high efficiency and record time. The discussion committee consisted of Prof. Dr. Diaa Abdel-Hussein Jumaa as Chairman and membership of Prof. Dr. Mathil Emad El-Din Abdel-Moneim, Prof. Shaima Hamid Shaker, Prof. Dr. Abdel-Wahhab Sami Ibrahim, and Prof. Abdel-Amir Abdullah, members and supervisors.
Source: Department's Media |
The Department of Computer Science discussed the tagged master's thesis Clustering Covid-19 Research Papers Using Machine Learning "Collecting research papers on Covid 19 using machine learning" by student Tariq Abdul Amir Shani in the discussion room in the building of the Department of Computer Science. The thesis aims to design and build a system capable of collecting research papers related to the pandemic based on collecting the extract from the text using machine learning. The discussion committee consisted of Prof. Ahmed Tariq Sadeq as Chairman, and Prof. Dr. Nada Abdel-Zahra Abdullah, Dr. Azra Jassim Muhammad, and Dr. Suhad Malallah Kazem as members and supervisor.
Source: Department's Media |
The Department of Computer Science discussed the tagged master's thesis Covid19 Prediction System Based on Location Tracking of Infected People A coved19 prediction system based on tracking the location of the infected persons for the student, Safa Muhammad Musab, on the discussion hall in the building of the Computer Science Department. The message aims to track the locations of people infected with coved 19 and predict the most endemic places of the epidemic, based on the statistical analysis of injuries. The research reached several conclusions, most notably that the system achieved high-accuracy results. The discussion committee consisted of Prof. Dr. Rana Farid Ghani as Chairman, and Prof. Dr. Abdul Wahab Sami, Dr. Israa Tahsin, and Dr. Bashar Saadoun Mahdi as members and supervisor.
Source: Department's Media |
The Department of Computer Science discussed the tagged master's thesis Hybird Text Similarty Approach Based on Semantic Network And Machine learning Algorthim. A hybrid model of text similarity based on meaning networks and machine learning algorithms by the student Nima Hussein Hamid on the discussion hall in the building of the Department of Computer Science. The thesis deals with a hybrid method for measuring similarity in terms of meaning between texts using semantic networks and machine learning algorithms. Accurate relationships between words and concepts. The discussion committee consisted of Prof. Dr. Iyad Roudhan as Chairman, with membership as Prof. Dr. Zuhair Hussein, Dr. Khalil Ibrahim, and Dr. Ahmed Tariq Sadiq as supervisor.
Source: Department's Media |