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Counterfeit coins can be detected more easily thanks to a novel approach

Counterfeit coins can be detected more easily thanks to a novel approach
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Ching suenSaeed khazaeeMaryam sharifi radSoftware engineeringDepartment of computer scienceCentre for pattern recognitionExpert systems with applicationsPattern recognitionMachine intelligenceComputer scienceMaryam sharifi

Counterfeit coins can be detected more easily

Counterfeit coins can be detected more easily
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Maryam sharifi radChing suenSaeed khazaeeSoftware engineeringCentre for pattern recognitionDepartment of computer scienceMethod of researchExpert systems with applicationsPattern recognitionMachine intelligenceComputer scienceMaryam sharifi

Counterfeit Coins Can Now Be Detected More Easily

Counterfeit Coins Can Now Be Detected More Easily
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Saeed khazaeeMaryam sharifi radChing suenCentre for pattern recognitionDepartment of computer scienceSoftware engineeringExpert systems with applicationsPattern recognitionMachine intelligenceComputer scienceMaryam sharifi

Counterfeit coins can be detected more easily thanks to a novel approach

Counterfeit coins can be detected more easily thanks to a novel approach
techxplore.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from techxplore.com Daily Mail and Mail on Sunday newspapers.

Ching suenMaryam sharifi radSaeed khazaeeSoftware engineeringCentre for pattern recognitionDepartment of computer scienceExpert systems with applicationsPattern recognitionMachine intelligenceComputer scienceMaryam sharifiExpert systems

Concordia celebrates 50 years of computer science teaching and research

Concordia celebrates 50 years of computer science teaching and research
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Clair callaghanLata narayananChing yee suenBipin desaiWilliam wongStanley heapsJohn william atwoodChristine nadalGina cody school of engineeringLoyola college department of computer scienceLoyola collegeSoftware engineeringSir george williams universityConcordia department of computer scienceCentre for pattern recognitionDepartment of computer science