25 citations · 25 across the 2 of their papers we have counts for
4 papers
Regularized HessELM and Inclined Entropy Measurement for Congestive Heart Failure Prediction
Apdullah Yayık, Yakup Kutlu, Gökhan Altan
Our study concerns with automated predicting of congestive heart failure (CHF) through the analysis of electrocardiography (ECG) signals. A novel machine learning approach, regular…
Deep Learning with ConvNET Predicts Imagery Tasks Through EEG
Apdullah Yayık, Yakup Kutlu, Gökhan Altan
Deep learning with convolutional neural networks (ConvNets) have dramatically improved learning capabilities of computer vision applications just through considering raw data witho…
Grayscale Image Authentication using Neural Hashing
Yakup Kutlu, Apdullah Yayık
Many different approaches for neural network based hash functions have been proposed. Statistical analysis must correlate security of them. This paper proposes novel neural hashing…
Patient Specific Congestive Heart Failure Detection From Raw ECG signal
Yakup Kutlu, Apdullah Yayık, Esen Yıldırım +2
In this study; in order to diagnose congestive heart failure (CHF) patients, non-linear second-order difference plot (SODP) obtained from raw 256 Hz sampled frequency and windowed…