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Chromaticity based waste paper grade identification

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Year: 2012
Type: article
Source: The International Arab Journal of Information Technology
Authors: Mohammad Osiur Rahman, Aini Hussain, Noor Ezlin Ahmad Basri, Hassan Basri, Edgar Scavino
Institution: National University of Malaysia
Language: English

Topic: Industrial Vision Systems and Defect Detection
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
SDG: Responsible consumption and production

Open Access status: closed
OpenAlex ID: W2394968189
FWCI: 2.359
Cites: 18
Cited by: 6
Related to: 20
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