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 | 2305 | 2021 |
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 | 105 | 2003 |
Department of biomedical engineering, zonguldak bulent ecevit university, 67100, zonguldak, turkey A Narin, C Kaya, Z Pamuk arXiv Prepr. arXiv2003 10849, 2020 | 29 | 2020 |
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 | 27 | 2003 |
Effect of different batch size parameters on predicting of COVID19 cases A Narin, Z Pamuk arXiv preprint arXiv:2012.05534, 2020 | 10 | 2020 |
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 | 10 | 2014 |
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 | 8 | 2014 |
Classification of Type 2 Diabetes Using Machine Learning Techniques Z Pamuk, C Kaya Avrupa Bilim ve Teknoloji Dergisi, 1265-1268, 2021 | 3 | 2021 |
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 | 3 | 2015 |
Yapay bağışıklık sistemine dayalı yeni bir aritmi sınıflama tekniği Z Pamuk Sakarya Üniversitesi, 2014 | 3 | 2014 |
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 | 3 | 2003 |
Dual Tone Multi Frequency (DTMF) signal generation and detection using MATLAB software N Pamuk, Z Pamuk | 2 | 2015 |
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 | | |