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An efficient machine learning-based model to effectively classify the type of noises in QR code: A hybrid approach

Author: Rasheed, J ; Wardak, AB ; Abu-Mahfouz, Adnan MI ; Umer, T ; Yesiltepe, M ; Waziry, S Date: Oct 2022 Granting smart device consumers with information, simply and quickly, is what drives quick response (QR) codes and mobile marketing to go hand in hand. It boosts marketing campaigns and objectives and allows one to approach, engage, influence, ... Read more

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Browsing by Subject "Noise classification"

Browsing by Subject "Noise classification"

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