Zafer Cömert
Zafer Cömert
Assoc. Prof, Software Engineering, Samsun University üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Alıntı yapanlar
Alıntı yapanlar
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
M Toğaçar, B Ergen, Z Cömert
Computers in Biology and Medicine, 103805, 2020
A study of artificial neural network training algorithms for classification of cardiotocography signals
Z Cömert, AF Kocamaz
J Sci Technol 7 (2), 93-103, 2017
Comparison of machine learning techniques for fetal heart rate classification
Z Cömert, AF Kocamaz
Acta Phys. Pol. A 132 (3), 451-454, 2017
Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment
Z Cömert, AF Kocamaz, V Subha
Computers in Biology and Medicine 99, 85-97, 2018
Fetal Hypoxia Detection Based on Deep Convolutional Neural Network with Transfer Learning Approach
Z Cömert, AF Kocamaz
Computer Science On-line Conference, 239-248, 2019
A deep feature learning model for pneumonia detection applying a combination of mRMR feature selection and machine learning models
M Toğaçar, B Ergen, Z Cömert, F Özyurt
Irbm 41 (4), 212-222, 2020
Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach
Y Altuntaş, Z Cömert, AF Kocamaz
Computers and Electronics in Agriculture 163, 104874, 2019
Evaluation of Fetal Distress Diagnosis during Delivery Stages based on Linear and Nonlinear Features of Fetal Heart Rate for Neural Network Community
International Journal of Computer Applications 156 (4), 26-31, 2016
Cardiotocography signals with artificial neural network and extreme learning machine
Z Cömert, AF Kocamaz, S Güngör
Signal Processing and Communication Application Conference (SIU), 2016 24th …, 2016
A novel medical diagnosis model for COVID-19 infection detection based on deep features and Bayesian optimization
M Nour, Z Cömert, K Polat
Applied Soft Computing 97, 106580, 2020
Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images
Ü Budak, Z Cömert, ZN Rashid, A Şengür, M Çıbuk
Applied Soft Computing 85, 105765, 2019
Computer-aided diagnosis system of fetal hypoxia incorporating recurrence plot with convolutional neural network
Z Zhao, Y Zhang, Z Comert, Y Deng
Frontiers in physiology 10, 255, 2019
Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer …
M Toğaçar, B Ergen, Z Cömert
Medical Hypotheses, 109503, 2020
Open-access software for analysis of fetal heart rate signals
Z Cömert, AF Kocamaz
Biomedical Signal Processing and Control 45, 98-108, 2018
Intelligent system based on Genetic Algorithm and support vector machine for detection of myocardial infarction from ECG signals
A Diker, Z Cömert, E Avci, S Velappan
2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018
A Study Based on Gray Level Co-Occurrence Matrix and Neural Network Community for Determination of Hypoxic Fetuses
Z Cömert, AF Kocamaz
International Conference on Artificial Intelligence and Data Processing, 569-573, 2016
Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks
M Toğaçar, B Ergen, Z Cömert
Biocybernetics and Biomedical Engineering, 2020
Convolutional neural network approach for automatic tympanic membrane detection and classification
E Başaran, Z Cömert, Y Çelik
Biomedical Signal Processing and Control 56, 101734, 2020
DCCMED-Net: Densely Connected and Concatenated Multi Encoder-Decoder CNNs for Retinal Vessel Extraction from Fundus Images
Ü Budak, Z Cömert, M Çıbuk, A Şengür
Medical Hypotheses, 109426, 2020
Diagnostic model for identification of myocardial infarction from electrocardiography signals
A Diker, Z Comert, E Avci
Bitlis Eren University Journal of Science and Technology 7 (2), 132-139, 2017
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20