| Prediction of Bitcoin prices with machine learning methods using time series data S Karasu, A Altan, Z Saraç, R Hacioğlu 2018 26th signal processing and communications applications conference (SIU …, 2018 | 123 | 2018 |
| Estimation of fast varied wind speed based on NARX neural network by using curve fitting S Karasu, A Altan, Z Saraç, R Hacioğlu International Journal of Energy Applications and Technologies 4 (3), 137-146, 2017 | 71 | 2017 |
| Prediction of solar radiation based on machine learning methods R Hacioğlu The journal of cognitive systems 2 (1), 16-20, 2017 | 67 | 2017 |
| Chaotic resonance in Hodgkin–Huxley neuron V Baysal, Z Saraç, E Yilmaz Nonlinear Dynamics 97, 1275-1285, 2019 | 52 | 2019 |
| Prediction of wind speed with non-linear autoregressive (NAR) neural networks S Karasu, A Altan, Z Saraç, R Hacioğlu 2017 25th signal processing and communications applications conference (SIU …, 2017 | 49 | 2017 |
| Classification of power quality disturbances by 2D-Riesz Transform, multi-objective grey wolf optimizer and machine learning methods S Karasu, Z Saraç Digital signal processing 101, 102711, 2020 | 47 | 2020 |
| Investigation of power quality disturbances by using 2D discrete orthonormal S-transform, machine learning and multi-objective evolutionary algorithms S Karasu, Z Sarac Swarm and evolutionary computation 44, 1060-1072, 2019 | 39 | 2019 |
| Optimization of white light interferometry on rough surfaces based on error analysis Z Saraç, R Groß, C Richter, B Wiesner, G Häusler Optik 115 (8), 351-357, 2004 | 35 | 2004 |
| Phase recovery from interference fringes by using S-transform A Dursun, Z Saraç, HS Topkara, S Özder, FN Ecevit Measurement 41 (4), 403-411, 2008 | 25 | 2008 |
| Effects of astrocyte on weak signal detection performance of Hodgkin–Huxley neuron Y Erkan, Z Saraç, E Yılmaz Nonlinear Dynamics 95, 3411-3421, 2019 | 21 | 2019 |
| Estimation of wind speed by using regression learners with different filtering methods S Karasu, A Altan, Z Saraç, R Hacıoğlu 1st International Conference on Energy Systems Engineering, Karabuk, Turkey, 2017 | 17 | 2017 |
| Wavelet phase evaluation of white light interferograms Z Saraç, A Dursun, S Yerdelen, FN Ecevit Measurement science and technology 16 (9), 1878, 2005 | 17 | 2005 |
| Optimization of digital holographic setup by a fuzzy logic prediction system GU Kaya, O Erkaymaz, Z Sarac Expert Systems with Applications 56, 177-185, 2016 | 14 | 2016 |
| The effects on classifier performance of 2D discrete wavelet transform analysis and whale optimization algorithm for recognition of power quality disturbances S Karasu, Z Saraç Cognitive Systems Research 75, 1-15, 2022 | 11 | 2022 |
| Histogram based vehicle license plate recognition with KNN method S Karasu, A Altan, Z Sarac, R Hacioglu ICAT, 1-4, 2017 | 11 | 2017 |
| Analysis of white-light interferograms by using Stockwell transform Z Saraç Optics and lasers in engineering 46 (11), 823-828, 2008 | 11 | 2008 |
| Classification of power quality disturbances with S-transform and artificial neural networks method S Karasu, Z Saraç 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 10 | 2017 |
| Evaluation of thermal lens fringes using Hilbert and Fourier transform methods Z Saraç, HG Birkök, H Taşkın, E Öztürk IET Science, Measurement & Technology 5 (3), 81-87, 2011 | 9 | 2011 |
| Real-time optical reconstruction of the diffused 3D object using phase information calculated by continuous wavelet transform DÖ Tayyar, Z Saraç, FN Ecevit Optics Communications 284 (23), 5460-5465, 2011 | 8 | 2011 |
| Güç kalitesi bozulmalarının hilbert-huang dönüşümü, genetik algoritma ve yapay zeka/makine öğrenmesi yöntemleri ile sınıflandırılması S KARASU, Z SARAÇ Politeknik Dergisi 23 (4), 1219-1229, 2020 | 7 | 2020 |
Okan ErkaymazComputer Engineering, NDU Turkish Naval AcademyVerified email at dho.edu.tr
