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Fabric Defect Detection using Deep Learning
(IEEE, 2016)
Fabric defect detection have importance in terms of sectoral quality. Automatic systems are developed on the defect detection, in this regard many methods are tried to obtain high precision with image processing studies. ...
Evaluation of Fabric Defect Detection Based on Transfer Learning with Pre-trained AlexNet
(IEEE, 2018)
Deep learning methods are successful in many different domains such as image, natural language and signal processing. However, the number of samples affects success of deep learning algorithms significantly. Therefore, it ...
DNA Sequence Compression within Traditional Text Compression Algorithms
(IEEE, 2017)
It aimed that traditional text compression methods are using on compression of DNA sequence in this study. It has seen that the random short repeats are vital and it has examined their posivite impact for compression. A ...