Determination of R-peaks in ECG signal using Hilbert Transform and Pan-Tompkins Algorithms. - Aykut Diker; Engin Avci; Mehmet Gedikpinar (SIU, 2017)

Classification of ECG signal by using machine learning methods. - Aykut Diker; Engin Avci; Zafer Cömert; Derya Avci; Emine Kacar; Ihsan Serhatlioglu (SIU, 2018)

Intelligent system based on Genetic Algorithm and support vector machine for detection of myocardial infarction from ECG signals. - Aykut Diker; Zafer Cömert; Engin Avci; Subha Velappan (SIU, 2018)

Feature Extraction of ECG Signal by using Deep Feature. - Aykut Diker; Engin Avci (ISDFS, 2019)

Uç öğrenme makineleri kullanarak EKG işaretlerinin sınıflandırma başarımlarının iyileştirilmesi (Improvement of the classification achievements of ECG signals using extreme learning machines) - Aykut Diker (2019)

A Performance Comparison of Pre-trained Deep Learning Models to Classify Brain Tumor. - Aykut Diker (EUROCON, 2021)

Examination of the ECG signal classification technique DEA-ELM using deep convolutional neural network features. - Aykut Diker; Yasin Sönmez; Fatih Özyurt; Engin Avci; Derya Avci (Multim. Tools Appl., 2021)

An efficient model of residual based convolutional neural network with Bayesian optimization for the classification of malarial cell images. - Aykut Diker (Comput. Biol. Medicine, 2022)

Identification of haploid and diploid maize seeds using hybrid transformer model. - Emrah Dönmez; Serhat Kiliçarslan; Cemil Közkurt; Aykut Diker; Fahrettin Burak Demir; Abdullah Elen (Multim. Syst., 2023)

Trish: an efficient activation function for CNN models and analysis of its effectiveness with optimizers in diagnosing glaucoma. - Cemil Közkurt; Aykut Diker; Abdullah Elen; Serhat Kiliçarslan; Emrah Dönmez; Fahrettin Burak Demir (J. Supercomput., 2024)