Takip et
Ziynet Pamuk
Ziynet Pamuk
Zonguldak Bülent Ecevit Üniversitesi
beun.edu.tr üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Automatic detection of coronavirus disease (covid-19) using x-ray images and deep convolutional neural networks
A Narin, C Kaya, Z Pamuk
Pattern Analysis and Applications 24, 1207-1220, 2021
23052021
Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks. arXiv 2020
A Narin, C Kaya, Z Pamuk
arXiv preprint arXiv:2003.10849, 2003
1052003
Department of biomedical engineering, zonguldak bulent ecevit university, 67100, zonguldak, turkey
A Narin, C Kaya, Z Pamuk
arXiv Prepr. arXiv2003 10849, 2020
292020
Automatic Detection of Coronavirus Disease (Covid-19) Using X-Ray Images and Deep Convolutional Neural Networks, 2020 arXi v preprint
A Narin, C Kaya, Z Pamuk
arXiv preprint arXiv:2003.10849, 2003
272003
Effect of different batch size parameters on predicting of COVID19 cases
A Narin, Z Pamuk
arXiv preprint arXiv:2012.05534, 2020
102020
Comparison of k nearest neighbours and regression tree classifiers used with clonal selection algorithm to diagnose haematological diseases
BÇ Yavuz, TK Yıldız, N Yurtay, Z Pamuk
AJIT-e: Academic Journal of Information Technology 5 (16), 7-20, 2014
102014
Migraine diagnosis by using artificial neural networks and decision tree techniques
U Celık, N Yurtay, Z Pamuk
AJIT-e: Academic Journal of Information Technology 5 (14), 79-90, 2014
82014
Classification of Type 2 Diabetes Using Machine Learning Techniques
Z Pamuk, C Kaya
Avrupa Bilim ve Teknoloji Dergisi, 1265-1268, 2021
32021
Establishing the potential clients using artificial neural networks
Z Pamuk, Y Yurtay, O Yavuzyılmaz
Balkan Journal of Electrical and Computer Engineering 3, 219-224, 2015
32015
Yapay bağışıklık sistemine dayalı yeni bir aritmi sınıflama tekniği
Z Pamuk
Sakarya Üniversitesi, 2014
32014
Automatic detection of coronavirus disease (covid-19) using x-ray images and deep convolutional neural networks. 2020
N Ali, K Ceren, P Ziynet
Chapter, 2003
32003
Dual Tone Multi Frequency (DTMF) signal generation and detection using MATLAB software
N Pamuk, Z Pamuk
22015
Kalp Krizi Risk Seviyesinin Bulanık Mantık Temelli Modellenmesi
Z PAMUK, RU ARSLAN
Mühendislik Alanında Akademik Analiz ve Tartışmalar, 1, 2023
2023
Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer
Z Pamuk, C Kaya
Sakarya University Journal of Computer and Information Sciences 5 (1), 104-120, 2022
2022
Standart ve Geliştirilen Klonal Seçim Algoritması Kullanılarak Aritmilerin Sınıflandırılması
Z Pamuk
SETSCI-Conference Proceedings 4, 301-305, 2019
2019
Yapay Bağişiklik Sistemine Dayali Yeni bir Aritmi Siniflama Tekniği
Z Pamuk
PQDT-Global, 2014
2014
Yapay Bağişiklik Sistemine Dayali Yeni bir Aritmi Siniflama Tekniği/A new Arrhythmia Classification Technique Based on Artificial Immune System
Z Pamuk
Sakarya Universitesi (Turkey), 2014
2014
Yapay sinir ağları ve karar ağaçları teknikleri kullanarak migren teşhisi
U CELIK, N YURTAY, Z PAMUK
AJIT-e 5 (14), 79, 2014
2014
Determination of Women Iron Deficiency Anemia Using Neural Networks
Z Pamuk, MR Bozkurt
SPRINGER, 2012
2012
Usage of Weka Software Based on Machine Learning Algorithms for Prediction of Liver Fibrosis/Cirrhosis
RU Arslan, Z Pamuk, C Kaya
Black Sea Journal of Engineering and Science 7 (3), 17-18, 0
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Makaleler 1–20