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Zehra Saraç
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2020 – today
- 2022
- [j7]Seçkin Karasu
, Zehra Saraç:
The effects on classifier performance of 2D discrete wavelet transform analysis and whale optimization algorithm for recognition of power quality disturbances. Cogn. Syst. Res. 75: 1-15 (2022) - 2021
- [c9]Zehra Saraç, Burak Kurt, Cihangir Erdemir:
A New Hybrid Peak Detection Methods for Fiber Bragg Grating Temperature Sensor. SIU 2021: 1-4 - 2020
- [j6]Seçkin Karasu
Classification of power quality disturbances by 2D-Riesz Transform, multi-objective grey wolf optimizer and machine learning methods. Digit. Signal Process. 101: 102711 (2020)
2010 – 2019
- 2019
- [j5]Gulhan Ustabas Kaya
A new adaptive neuro-fuzzy solution for optimization of the parameters in the digital holography setup. Soft Comput. 23(18): 8827-8837 (2019) - [j4]Seçkin Karasu
Investigation of power quality disturbances by using 2D discrete orthonormal S-transform, machine learning and multi-objective evolutionary algorithms. Swarm Evol. Comput. 44: 1060-1072 (2019) - 2018
- [j3]Gülhan Ustabas Kaya
Usage of segmentation for noise elimination in reconstructed images in digital holographic interferometry. Turkish J. Electr. Eng. Comput. Sci. 26(1): 234-244 (2018) - [c8]Yasemin Erkan
Effects of calcium channel noise on weak signal detection in neuron-astrocyte interactions. SIU 2018: 1-4 - [c7]Seçkin Karasu
Prediction of Bitcoin prices with machine learning methods using time series data. SIU 2018: 1-4 - [c6]Seçkin Karasu
Classification of power quality events signals with pattern recognition methods by using Hilbert transform and genetic algorithms. SIU 2018: 1-4 - [c5]Gülhan Ustabas Kaya, Zehra Saraç
The usage of artificial neural network as post processing algorithm in digital holography. SIU 2018: 1-4 - 2017
- [j2]Gülhan Ustabas Kaya
Comparing of phase shifting method and one-dimensional continuous wavelet transform method for reconstruction using phase-only information. Turkish J. Electr. Eng. Comput. Sci. 25: 1587-1597 (2017) - [c4]Seçkin Karasu
Prediction of wind speed with non-linear autoregressive (NAR) neural networks. SIU 2017: 1-4 - [c3]Seçkin Karasu
Classification of power quality disturbances with S-transform and artificial neural networks method. SIU 2017: 1-4 - [c2]Gülhan Ustabas Kaya
The fast optimization of digital holography system. SIU 2017: 1-4 - 2016
- [j1]Gulhan Ustabas Kaya
Optimization of digital holographic setup by a fuzzy logic prediction system. Expert Syst. Appl. 56: 177-185 (2016) - 2014
- [c1]Gülhan Ustabas Kaya
Image reconstruction from phase hologram obtained by using single phase information. SIU 2014: 148-151
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