| A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer A Altan, S Karasu, E Zio Applied Soft Computing 100, 106996, 2021 | 449 | 2021 |
| A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series S Karasu, A Altan, S Bekiros, W Ahmad Energy 212, 118750, 2020 | 405 | 2020 |
| Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique A Altan, S Karasu Chaos, solitons & fractals 140, 110071, 2020 | 352 | 2020 |
| Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques A Altan, S Karasu, S Bekiros Chaos, Solitons & Fractals 126, 325-336, 2019 | 339 | 2019 |
| Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization S Karasu, A Altan Energy, 122964, 2022 | 149 | 2022 |
| Recognition model for solar radiation time series based on random forest with feature selection approach S Karasu, A Altan 2019 11th international conference on electrical and electronics engineering …, 2019 | 133 | 2019 |
| The effect of kernel values in support vector machine to forecasting performance of financial time series A Altan, S Karasu The Journal of Cognitive Systems 4 (1), 17-21, 2019 | 131 | 2019 |
| 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 Hacıoğlu International Journal of Energy Applications and Technologies 4 (3), 137-146, 2017 | 71 | 2017 |
| Prediction of Solar Radiation Based on Machine Learning Methods S Karasu, A Altan, Z Saraç, R Hacıoğlu International Engineering Research Symposium (UMAS'17), 215-215, 2017 | 67* | 2017 |
| 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 |
| Estimation of Wind Speed by using Regression Learners with Different Filtering Methods S Karasu, A Altan, Z Saraç, R Hacıoğlu International Conference on Energy Systems Engineering (ICESE'17), 7-10, 2017 | 17 | 2017 |
| Classification of power quality disturbances by using ensemble technique S Karasu, S Başkan 2016 24th Signal Processing and Communication Application Conference (SIU …, 2016 | 16 | 2016 |
| Ayrıştırma yöntemlerinin derin öğrenme algoritması ile tanımlanan rüzgâr hızı tahmin modeli başarımına etkisinin incelenmesi A ALTAN, S KARASU Avrupa Bilim ve Teknoloji Dergisi, 844-853, 2020 | 14 | 2020 |
| 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 Saraç, R Hacıoğlu ICAT'17, International Conference on Advanced Technology & Sciences, 753-756, 2017 | 11 | 2017 |
| 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 |
| 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 |
Zehra SaracIstanbul Medeniyet Universitymedeniyet.edu.tr üzerinde doğrulanmış e-posta adresine sahip
