The College of Computer Science and Information Technology discussed studying a master’s thesis on the restoration of ancient texts using deep neural networks.
The study presented by student Ali Abbas Ali aimed to propose a system for recovering and repairing deleted texts using three different techniques.
The study found that most of these texts are often damaged over time as a result of environmental factors and preservation methods.
The study represents a major advance in the preservation and understanding of ancient heritage, offering an unparalleled level of accuracy and precision.
