Omar Essam El Sherbiny
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SPARQL extraction, cleaning with date precision, pandera validation and a quality log: 513 pharaohs, 38 dynasties and 84 pyramids in three tables.
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Three methods agree on a break in the Nile's flow at Aswan around 1898-1900; knowing about it removes a forecast bias, not the noise.
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A Keras CNN that names a photographed Egyptian hieroglyph by its Gardiner code, trained on 3,674 glyphs from the Pyramid Texts of Unas.
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Six model families tuned on the same folds; the top three are statistically tied, so the readable one gets the job.
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K-means on six engineered features doubles the silhouette of raw service flags, and separates churn risk without ever seeing the churn label.
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A 93.7% CNN on Fashion-MNIST becomes a 99.1% auto-tagger for 80% of images once uncertain predictions are routed to a person.