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- W4281753162 abstract "Egyptian hieroglyphs are symbols that are part of the ancient Egyptian writing system. Hieroglyphs do not have a fixed writing direction, and a single glyph can have multiple definitions, making them difficult to translate into spoken language. Deep learning techniques, such as EfficientNet, MobileNet, and ShuffleNet, have been tested on two hieroglyph datasets (with and without data augmentation). Current experiments revealed that MobileNet and EfficientNet produced the most accurate results Ranging from 99% to 100%. Scriba is a flutter-based mobile application that shall use one of the mentioned algorithms to provide a precise translation of hieroglyphs. This paper thoroughly discusses the proposed development approach, experiments that were carried out (and their results), and the implementation of the mobile application." @default.
- W4281753162 created "2022-06-13" @default.
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- W4281753162 date "2022-05-08" @default.
- W4281753162 modified "2023-09-30" @default.
- W4281753162 title "Hieroglyphs Language Translator using deep learning techniques (Scriba)" @default.
- W4281753162 doi "https://doi.org/10.1109/miucc55081.2022.9781784" @default.
- W4281753162 hasPublicationYear "2022" @default.
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