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Aykut Diker
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2020 – today
- 2024
- [j4]Cemil Közkurt, Aykut Diker, Abdullah Elen, Serhat Kiliçarslan, Emrah Dönmez, Fahrettin Burak Demir:
Trish: an efficient activation function for CNN models and analysis of its effectiveness with optimizers in diagnosing glaucoma. J. Supercomput. 80(11): 15485-15516 (2024) - 2023
- [j3]Emrah Dönmez, Serhat Kiliçarslan, Cemil Közkurt, Aykut Diker, Fahrettin Burak Demir, Abdullah Elen:
Identification of haploid and diploid maize seeds using hybrid transformer model. Multim. Syst. 29(6): 3833-3845 (2023) - 2022
- [j2]Aykut Diker:
An efficient model of residual based convolutional neural network with Bayesian optimization for the classification of malarial cell images. Comput. Biol. Medicine 148: 105635 (2022) - 2021
- [j1]Aykut Diker, Yasin Sönmez, Fatih Özyurt, Engin Avci, Derya Avci:
Examination of the ECG signal classification technique DEA-ELM using deep convolutional neural network features. Multim. Tools Appl. 80(16): 24777-24800 (2021) - [c5]Aykut Diker:
A Performance Comparison of Pre-trained Deep Learning Models to Classify Brain Tumor. EUROCON 2021: 246-249
2010 – 2019
- 2019
- [b1]Aykut Diker:
Uç öğrenme makineleri kullanarak EKG işaretlerinin sınıflandırma başarımlarının iyileştirilmesi (Improvement of the classification achievements of ECG signals using extreme learning machines). Fırat University, Turkey, 2019 - [c4]Aykut Diker, Engin Avci:
Feature Extraction of ECG Signal by using Deep Feature. ISDFS 2019: 1-6 - 2018
- [c3]Aykut Diker, Engin Avci, Zafer Cömert, Derya Avci, Emine Kacar, Ihsan Serhatlioglu:
Classification of ECG signal by using machine learning methods. SIU 2018: 1-4 - [c2]Aykut Diker, Zafer Cömert, Engin Avci, Subha Velappan:
Intelligent system based on Genetic Algorithm and support vector machine for detection of myocardial infarction from ECG signals. SIU 2018: 1-4 - 2017
- [c1]Aykut Diker, Engin Avci, Mehmet Gedikpinar:
Determination of R-peaks in ECG signal using Hilbert Transform and Pan-Tompkins Algorithms. SIU 2017: 1-4
Coauthor Index
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