Yazar "Alkim E." için listeleme
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Chip design for intelligent data classification algorithms and implementation on an FPGA: A case study to classify EMG signals
FPGA chips stand out with parallel processing capabilities. Besides this, artificial neural networks require parallel computing because of their algorithm. In this study, it is aimed to design an artificial neural network ... -
A new intelligent diagnosis method to determine thyroid disorders
In this study, the Learning Vector Quantization (LVQ) network model is enhanced with attaching conscience mechanism to be used in diagnosis of thyroid disorders, so that network's disease diagnostic success percentage is ... -
Post Quantum Learning with Errors Problem Based Key Encapsulation Protocols and Matrix Vector Product
Alkim E.; Yazar B.K. (Institute of Electrical and Electronics Engineers Inc., 2019)For post quantum cryptography lattice based systems are among the most widely used and safest systems. One of the difficult problems on lattice based systems are based Learning With Errors (LWE) problem. LWE based protocols, ...
