| 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 | 79 | 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 | 53 | 2018 |
| Variable selection in logistic regression model with genetic algorithm Z Zhang, V Trevino, SS Hoseini, S Belciug, AM Boopathi, P Zhang, ... Annals of translational medicine 6 (3), 2018 | 33 | 2018 |
| Normal and acute tympanic membrane diagnosis based on gray level co-occurrence matrix and artificial neural networks E Başaran, A Şengür, Z Cömert, Ü Budak, Y Çelık, S Velappan 2019 international artificial intelligence and data processing symposium …, 2019 | 17 | 2019 |
| Opposition based firefly algorithm optimized feature subset selection approach for fetal risk anticipation V Subha, D Murugan Mach. Learn. Appl., Int. J. 3 (2), 55-64, 2016 | 16 | 2016 |
| The influences of different window functions and lengths on image-based time-frequency features of fetal heart rate signals Z Cömert, AM Boopathi, S Velappan, Z Yang, AF Kocamaz 2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018 | 15 | 2018 |
| Comparative analysis of classification techniques using Cardiotocography dataset V Subha, D Murugan, J Rani, K Rajalakshmi, T Tirunelveli International Journal of Research in Information Technology 1 (12), 274-280, 2013 | 15 | 2013 |
| Genetic Algorithm based feature subset selection for fetal state classification S Velappan, D Murugan, S Prabha Journal of communications technology, Electronics and Computer Science 2, 13-17, 2015 | 14 | 2015 |
| Performance evaluation of empirical mode decomposition and discrete wavelet transform for computerized hypoxia detection and prediction Z Cömert, Z Yang, S Velappan, AM Boopathi, AF Kocamaz 2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018 | 13 | 2018 |
| A hybrid filter-wrapper attribute reduction approach for fetal risk anticipation V Subha, D Murugan, AM Boopathi Asian Journal of Research in Social Sciences and Humanities 7 (2), 1094-1106, 2017 | 10 | 2017 |
| Foetal state determination using support vector machine and firefly optimisation V Subha, D Murugan International Journal of Knowledge Based Computer System, 7-12, 2014 | 10 | 2014 |
| Comparative analysis of support vector machine ensembles for heart disease prediction V Subha, M Revathi, D Murugan Int J Comput Sci Commun Netw 5 (6), 386-390, 2015 | 8 | 2015 |
| Determination of tympanic membrane region in the middle ear otoscope images with convolutional neural network based YOLO method E BAŞARAN, Z CÖMERT, Y ÇELİK, S VELAPPAN, M TOĞAÇAR Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 22 …, 2020 | 3 | 2020 |
| Enhancement of PEM Fuel Cell Performance with Direct Active Fuzzy Sliding Mode Controller EM Ali, AM Boopathi, A Abudhahir, S Velappan 2020 Advances in Science and Engineering Technology International …, 2020 | 3 | 2020 |
| Pressure Regulation in Proton Exchange Membrane Fuel Cell using Direct Active Fuzzy Non-Linear Controller MA EA, M Boopathi A, S Velappan International Journal of Computing and Digital Systems 9 (1), 2020 | 3 | 2020 |
| Direct active fuzzy non-linear controller for pressure regulation in PEM fuel cell AEA Mohamed, BA Manivanna, A Abudhahir, S Velappan 2019 8th International Conference on Modeling Simulation and Applied …, 2019 | 3 | 2019 |
| DPA-UNet: Detail preserving attention UNet for cardiac MRI ventricle region segmentation G Gomathi, V Subha International Journal of Health Sciences I 6 (S1), 11833- 11852, 2022 | 2 | 2022 |
| Semantic segmentation of ventricular and myocardium regions in cardiac MRI G Gomathi, V Subha Design Engineering, 8510-8522, 2021 | 2 | 2021 |
| Forecasting the Generation and Consumption of Electricity and Water in Kingdom of Bahrain using Grey Models M Boopathi A, MA EA, S Velappan International Journal of Computing and Digital Systems 10, 1-8, 2021 | 2 | 2021 |
| Forecasting Oil and Gas Production and Consumption in Kingdom of Bahrain using Optimized Grey Forecasting Models M Boopathi A, M Ali EA, S Velappan International Journal of Computing and Digital System, 2021 | 1 | 2021 |
Zafer CömertAssoc. Prof., Software Engineering, Samsun Universitysamsun.edu.tr üzerinde doğrulanmış e-posta adresine sahip
