Search Results - "Karasu, Seçkin"
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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
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 -
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A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer
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 -
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Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques
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 -
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Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization
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 -
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A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series
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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Classification of power quality disturbances by 2D-Riesz Transform, multi-objective grey wolf optimizer and machine learning methods
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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The effects on classifier performance of 2D discrete wavelet transform analysis and whale optimization algorithm for recognition of power quality disturbances
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 -
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Investigation of power quality disturbances by using 2D discrete orthonormal S-transform, machine learning and multi-objective evolutionary algorithms
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 -
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Güç Kalitesi Bozulmalarının 2 Boyutlu Ayrık Dalgacık Dönüşümü ve Torbalama Karar Ağaçları Yöntemi ile Sınıflandırılması
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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Güç kalitesi bozulmalarının hilbert-huang dönüşümü, genetik algoritma ve yapay zeka/makine öğrenmesi yöntemleri ile sınıflandırılması
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 -
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Recognition Model for Solar Radiation Time Series based on Random Forest with Feature Selection Approach
Published in 2019 11th International Conference on Electrical and Electronics Engineering (ELECO) (01-11-2019)“…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 -
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Classification of power quality events signals with pattern recognition methods by using Hilbert transform and genetic algorithms
Published in 2018 26th Signal Processing and Communications Applications Conference (SIU) (01-05-2018)“…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 -
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Classification of power quality disturbances with S-transform and artificial neural networks method
Published in 2017 25th Signal Processing and Communications Applications Conference (SIU) (01-05-2017)“…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 -
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Classification of power quality disturbances by using ensemble technique
Published in 2016 24th Signal Processing and Communication Application Conference (SIU) (01-05-2016)“…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 -
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Prediction of Bitcoin prices with machine learning methods using time series data
Published in 2018 26th Signal Processing and Communications Applications Conference (SIU) (01-05-2018)“…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 -
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Prediction of wind speed with non-linear autoregressive (NAR) neural networks
Published in 2017 25th Signal Processing and Communications Applications Conference (SIU) (01-05-2017)“…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