Fatih Kocamaz
Fatih Kocamaz
bilgisayar mühendisliği Yardımcı Doçent İnönü Üniversitesi
Verified email at inonu.edu.tr
Cited by
Cited by
A study of artificial neural network training algorithms for classification of cardiotocography signals
Z Cömert, AF Kocamaz
Bitlis Eren University journal of science and technology 7 (2), 93-103, 2017
Comparison of machine learning techniques for fetal heart rate classification
Z Cömert, AF Kocamaz
Acta Physica Polonica A 132 (3), 451-454, 2017
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
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, 2018
Modeling of compressive strength and UPV of high-volume mineral-admixtured concrete using rule-based M5 rule and tree model M5P classifiers
Y Ayaz, AF Kocamaz, MB Karakoç
Construction and Building Materials 94, 235-240, 2015
Cardiotocography signals with artificial neural network and extreme learning machine
Z Cömert, AF Kocamaz, S Güngör
2016 24th Signal Processing and Communication Application Conference (SIU …, 2016
Evaluation of fetal distress diagnosis during delivery stages based on linear and nonlinear features of fetal heart rate for neural network community
Z Cömert, AF Kocamaz
Int. J. Comput. Appl 156 (4), 26-31, 2016
Continuous rotation invariant features for gradient-based texture classification
AFK Kazim Hanbay, Nuh Alpaslan, Muhammed Fatih Talu, Davut Hanbay, Ali Karci
Computer Vision and Image Understanding, 87-101, 2014
Open-access software for analysis of fetal heart rate signals
Z Cömert, AF Kocamaz
Biomedical Signal Processing and Control 45, 98-108, 2018
A vision-based real-time mobile robot controller design based on gaussian function for indoor environment
E Dönmez, AF Kocamaz, M Dirik
Arabian Journal for Science and Engineering 43 (12), 7127-7142, 2018
A study based on gray level co-occurrence matrix and neural network community for determination of hypoxic fetuses
Z Cömert, AF Kocamaz
International Artificial Intelligence and Data Processing Symposium (IDAP …, 2016
Using wavelet transform for cardiotocography signals classification
Z Cömert, AF Kocamaz
2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017
Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models
Z Cömert, A Şengür, Ü Budak, AF Kocamaz
Health information science and systems 7 (1), 1-9, 2019
Visual-servoing based global path planning using interval type-2 fuzzy logic control
M Dirik, O Castillo, AF Kocamaz
Axioms 8 (2), 58, 2019
Identification of haploid maize seeds using gray level co-occurrence matrix and machine learning techniques
Y Altuntaş, AF Kocamaz, Z CÖMERT, R Cengiz, M Esmeray
2018 International Conference on Artificial Intelligence and Data Processing …, 2018
Determination of QT interval on synthetic electrocardiogram
Z Cömert, AF Kocamaz
2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015
Global path planning and path-following for wheeled mobile robot using a novel control structure based on a vision sensor
M Dirik, AF Kocamaz, O Castillo
International Journal of Fuzzy Systems 22 (6), 1880-1891, 2020
A chaotic optimization method based on logistic-sine map for numerical function optimization
FB Demir, T Tuncer, AF Kocamaz
Neural Computing and Applications 32 (17), 14227-14239, 2020
Classification of haploid and diploid maize seeds by using image processing techniques and support vector machines
Y Altuntaş, AF Kocamaz, R Cengiz, M Esmeray
2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018
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