Search Results - "Karasu, Seçkin"

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  1. 1

    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 by Altan, Aytaç, Karasu, Seçkin

    Published in Chaos, solitons and fractals (01-11-2020)
    “…•A new hybrid COVID-19 recognition model based on deep learning technique.•Model performance improvement with the help of chaotic optimization…”
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    Journal Article
  2. 2

    A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer by Altan, Aytaç, Karasu, Seçkin, Zio, Enrico

    Published in Applied soft computing (01-03-2021)
    “…Reliable and accurate wind speed forecasting (WSF) is fundamental for efficient exploitation of wind power. In particular, high accuracy short-term WSF…”
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    Journal Article
  3. 3

    Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques by Altan, Aytaç, Karasu, Seçkin, Bekiros, Stelios

    Published in Chaos, solitons and fractals (01-09-2019)
    “…•This study is the first study to estimate the price of digital currency using deep learning together with decomposition method and optimization algorithm.•A…”
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    Journal Article
  4. 4

    Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization by Karasu, Seçkin, Altan, Aytaç

    Published in Energy (Oxford) (01-03-2022)
    “…Estimating the price of crude oil, which is seen as an important resource for economic development and stability in the world, is a topic of great interest by…”
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    Journal Article
  5. 5

    A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series by Karasu, Seçkin, Altan, Aytaç, Bekiros, Stelios, Ahmad, Wasim

    Published in Energy (Oxford) (01-12-2020)
    “…Forecasting the future price of crude oil, which has an important role in the global economy, is considered as a hot matter for both investment companies and…”
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    Journal Article
  6. 6

    Classification of power quality disturbances by 2D-Riesz Transform, multi-objective grey wolf optimizer and machine learning methods by Karasu, Seçkin, Saraç, Zehra

    Published in Digital signal processing (01-06-2020)
    “…•With the 2D-RT method, the necessary features are extracted from the signals containing power quality disturbances.•A wrapper method combined KNN classifier…”
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    Journal Article
  7. 7

    The effects on classifier performance of 2D discrete wavelet transform analysis and whale optimization algorithm for recognition of power quality disturbances by Karasu, Seçkin, Saraç, Zehra

    Published in Cognitive systems research (01-09-2022)
    “…Power Quality (PQ) is becoming more and more important day by day in the electric network. Signal processing, pattern recognition and machine learning are…”
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    Journal Article
  8. 8

    Investigation of power quality disturbances by using 2D discrete orthonormal S-transform, machine learning and multi-objective evolutionary algorithms by Karasu, Seçkin, Saraç, Zehra

    Published in Swarm and evolutionary computation (01-02-2019)
    “…The aim of this paper is to investigate the power quality analysis by using 2D discrete orthonormal S-transform, machine learning and multi-objective…”
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    Journal Article
  9. 9

    Güç Kalitesi Bozulmalarının 2 Boyutlu Ayrık Dalgacık Dönüşümü ve Torbalama Karar Ağaçları Yöntemi ile Sınıflandırılması by Karasu, Seçkin, Saraç, Zehra

    Published in Journal of Polytechnic (01-04-2018)
    “…Bu çalışmada, Güç Kalitesi (GK) bozulmalarının sınıflandırılması için 2 Boyutlu Ayrık Dalgacık Dönüşümü (2B-ADD) yöntemi ile öznitelikler çıkartılmakta ve…”
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    Journal Article
  10. 10
  11. 11

    Güç kalitesi bozulmalarının hilbert-huang dönüşümü, genetik algoritma ve yapay zeka/makine öğrenmesi yöntemleri ile sınıflandırılması by Karasu,Seçkin, Saraç,Zehra

    Published in Politeknik Dergisi (01-04-2020)
    “…Bu çalışmada Güç Kalitesi (GK) Bozulmalarını sınıflandırmak için Hilbert-Huang Dönüşümü yöntemi ve istatistiksel özellikler ile öznitelikler elde edilmektedir…”
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    Journal Article
  12. 12

    Recognition Model for Solar Radiation Time Series based on Random Forest with Feature Selection Approach by Karasu, Seckin, Altan, Aytac

    “…Solar photovoltaic (PV) energy, one of fast growing energy technologies in the world, provides cheap opportunities for future energy generation. Solar…”
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    Conference Proceeding
  13. 13

    Classification of power quality events signals with pattern recognition methods by using Hilbert transform and genetic algorithms by Karasu, Seckin, Sarac, Zehra

    “…In this study, instantaneous envelope, phase and frequency series are obtained by Hilbert transform for Power Quality (PQ-Power Quality) disturbances signals…”
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    Conference Proceeding
  14. 14

    Classification of power quality disturbances with S-transform and artificial neural networks method by Karasu, Seckin, Sarac, Zehra

    “…In this study, classification of 11 different Power Quality (PQ) disturbances with Artificial Neural Networks (ANN) has been done by using the attributes…”
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    Conference Proceeding
  15. 15

    Classification of power quality disturbances by using ensemble technique by Karasu, Seckin, Baskan, Saim

    “…In this paper, 11 different power quality disturbances were automatically detected by using statistical features with wavelet transform and norm entropy…”
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    Conference Proceeding
  16. 16

    Prediction of Bitcoin prices with machine learning methods using time series data by Karasu, Seckin, Altan, Aytac, Sarac, Zehra, Hacioglu, Rifat

    “…In this study, Bitcoin prediction is performed with Linear Regression (LR) and Support Vector Machine (SVM) from machine learning methods by using time series…”
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    Conference Proceeding
  17. 17

    Prediction of wind speed with non-linear autoregressive (NAR) neural networks by Karasu, Seckin, Altan, Aytac, Sarac, Zehra, Hacioglu, Rifat

    “…In this study, the wind speed prediction model is created that gives a minimum error for different hidden layer neuron numbers and delay step numbers. Using…”
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    Conference Proceeding