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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. ...
Modeling of Person Tracking System with Indoor Location Detection Methods
(IEEE, 2018)
In indoor environments, location sensing and management enables a variety of functional mechanisms to be incorporated into business applications. These are just one of those people in the campus. In this study, the control ...
Intrusion detection with autoencoder based deep learning machine
(IEEE, 2017)
In changing and constantly evolving information age, together with the developments in computer and internet technology, the production, digitization, storage and sharing of information has become much easier than in the ...
COMPARISON OF THE EFFECTS DIMENSIONALTY METHODS IN THE TRAINING OF NEURO-FUZZY (ANFIS) CLASSIFICATIONS
(IEEE, 2017)
Adaptive Network Based Fuzzy Inference Systems (ANFIS) is a hybrid artificial intelligence method that uses artificial neural network models with parallel computing and learning features and fuzzy logic extraction. The ...