IOSR Journal

Paper Type	:	Research Paper
Title	:	Deep Learning Technique For Detection Of Fake Cloth
Country	:	Nigeria
Authors	:	Olufunke Janet Ehineni \|\| Gabriel Babatunde Iwasokun \|\| Arome Junior Gabriel \|\| Samuel Oluwatayo Ogunlana \|\| David Bamidele Adewole \|\| Aliyu Ednah Olubunmi
	:	10.9790/019X-12010113

Abstract: Manufacturing and distribution of fake clothing material which can be inferred to be criminal in nature has become a rapidly growing online shopping concern. It can be seen as a way of disguising false information as legitimate. Indeed, many fashion industries face challenging times to meet market sales and expected profits once fake clothing products are sold on street corners. The consequences of clothing counterfeiting also range from huge losses to buyers and sellers of original products to health hazards, loss of image, and slow growth. More so, while IT has been beneficial, the introduction of IT has also provided a global platform for elusive counterfeiters.....

Keywords: Fake clothing, cloth quality authentication, neural network, autoencoder, counterfeiting detection

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Paper Type	:	Research Paper
Title	:	Odorless Intimate Garments Made Of Tourmaline Infused Cotton Fabric Produced Via A Screen Printing Process
Country	:
Authors	:	Ranmini Dulangana Muttharachchi
	:	10.9790/019X-12011419