Saturday, 05 November 2022 16:30

Master's thesis in the Department of Computer Science discusses an approach to classify UFO materials using deep learning and machine learning feature extraction.

Written by
Rate this item
(0 votes)

- The Department of Computer Science discussed the tagged master's thesis Enhancement Of Foreign Object Debris Material Recongnition Using Deep learning An Approach to Classifying Foreign Object Debris Materials Using Deep Learning and Machine Learning Feature Extraction for Master's Student Dina Riyad Shaker Computer Science/General at the Annex Building in the Department of Computer Science. The thesis aims to build a new model for classifying the images of UFOs in the stands and corridors. Very good results were obtained in classifying the first-level attenuation and the percentage of errors remaining. The discussion committee consisted of Prof. Kazem Barihi Sawadi from the University of Kufa as head, and from the Department of Computer Science, with the membership of Prof. Dr. Hassanein Samir Abdullah, Prof. Azraa Jassem Muhammad, and Prof. Dr. Ayad Roudhan Abbas, member and supervisor


Source: Department's Media

Read 92 times