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A survey on applications of machine learning algorithms in water quality assessment and water supply and management

Water science & technology. Water supply, 2023-02, Vol.23 (2), p.895-922

2023

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Engine Fault Detection by Sound Analysis and Machine Learning

Applied sciences, 2024-08, Vol.14 (15), p.6532

2024

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A noninvasive time-frequency-based approach to estimate cuffless arterial blood pressure

Elektrik : Turkish journal of electrical engineering & computer sciences, 2018-01, Vol.26 (5), p.2260-2274

2018

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Developing a real-time hand exoskeleton system that controlled by a hand gesture recognition system via wireless sensors

Biomedical signal processing and control, 2025-01, Vol.99, p.106886, Article 106886

2025

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Detection of Parkinson's disease by Shifted One Dimensional Local Binary Patterns from gait

Expert systems with applications, 2016-09, Vol.56, p.156-163

2016

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Employing deep learning architectures for image-based automatic cataract diagnosis

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2021-01, Vol.29 (SI-1), p.2649-2662

2021

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A fast feature selection approach based on extreme learning machine and coefficient of variation

Elektrik : Turkish journal of electrical engineering & computer sciences, 2017, Vol.25, p.3409-3420

2017

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Doküman dili tanıma için yeni bir öznitelik çıkarım yaklaşımı: İkili Desenler

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi dergisi, 2016-12, Vol.31 (4)

2016

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Extreme learning machine model for water network management

Neural computing & applications, 2019-01, Vol.31 (1), p.157-169

2019

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Determining the optimal number of body-worn sensors for human activity recognition

Soft computing (Berlin, Germany), 2017-09, Vol.21 (17), p.5053-5060

2017

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A novel type of activation function in artificial neural networks: Trained activation function

Neural networks, 2018-03, Vol.99, p.148-157

Ertuğrul, Ömer Faruk

2018

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Forecasting electricity load by a novel recurrent extreme learning machines approach

International journal of electrical power & energy systems, 2016-06, Vol.78, p.429-435

Ertugrul, Oemer Faruk

2016

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A novel machine learning method based on generalized behavioral learning theory

Neural computing & applications, 2017-12, Vol.28 (12), p.3921-3939

2017

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Forecasting financial indicators by generalized behavioral learning method

Soft computing (Berlin, Germany), 2018-12, Vol.22 (24), p.8259-8272

2018

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A novel regression method in forecasting short-term grid electricity load in buildings that were connected to the smart grid

Electrical engineering, 2021-02, Vol.103 (1), p.717-728

2021

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Diagnosis of schizophrenia based on transformation from EEG sub-bands to the image with deep learning architecture

Soft computing (Berlin, Germany), 2024-05, Vol.28 (9-10), p.6607-6617

2024

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Determining the fullness of garbage containers by deep learning

Expert systems with applications, 2023-05, Vol.217, p.119544, Article 119544

2023

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A novel randomized machine learning approach: Reservoir computing extreme learning machine

Applied soft computing, 2020-09, Vol.94, p.106433, Article 106433

Ertuğrul, Ömer Faruk

2020

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Emotion recognition by skeleton-based spatial and temporal analysis

Expert systems with applications, 2024-03, Vol.238, p.121981, Article 121981

2024

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A novel approach for extracting ideal exemplars by clustering for massivetime-ordered datasets

Elektrik : Turkish journal of electrical engineering & computer sciences, 2017, Vol.25, p.2614-2634

ERTUĞRUL, Ömer Faruk

2017

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Detecting hemorrhage types and bounding box of hemorrhage by deep learning

Biomedical signal processing and control, 2022-01, Vol.71, p.103085, Article 103085

2022

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Hydrodynamic optimization of high-performance blade sections for stall regulated hydrokinetic turbines using Differential Evolution Algorithm

Ocean engineering, 2021-01, Vol.220, p.108389, Article 108389

2021

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Two novel local binary pattern descriptors for texture analysis

Applied soft computing, 2015-09, Vol.34, p.728-735

2015

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A novel clustering method built on random weight artificial neural networks and differential evolution

Soft computing (Berlin, Germany), 2020-08, Vol.24 (16), p.12067-12078

Ertuğrul, Ömer Faruk

2020

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Human identification based on accelerometer sensors obtained by mobile phone data

Biomedical signal processing and control, 2022-08, Vol.77, p.103847, Article 103847

2022

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A survey on applications of machine learning algorithms in water quality assessment and water supply and management

Engine Fault Detection by Sound Analysis and Machine Learning

A noninvasive time-frequency-based approach to estimate cuffless arterial blood pressure

Developing a real-time hand exoskeleton system that controlled by a hand gesture recognition system via wireless sensors

Detection of Parkinson's disease by Shifted One Dimensional Local Binary Patterns from gait

Employing deep learning architectures for image-based automatic cataract diagnosis

A fast feature selection approach based on extreme learning machine and coefficient of variation

Doküman dili tanıma için yeni bir öznitelik çıkarım yaklaşımı: İkili Desenler

Extreme learning machine model for water network management

Determining the optimal number of body-worn sensors for human activity recognition

A novel type of activation function in artificial neural networks: Trained activation function

Forecasting electricity load by a novel recurrent extreme learning machines approach

A novel machine learning method based on generalized behavioral learning theory

Forecasting financial indicators by generalized behavioral learning method

A novel regression method in forecasting short-term grid electricity load in buildings that were connected to the smart grid

Diagnosis of schizophrenia based on transformation from EEG sub-bands to the image with deep learning architecture

Determining the fullness of garbage containers by deep learning

A novel randomized machine learning approach: Reservoir computing extreme learning machine

Emotion recognition by skeleton-based spatial and temporal analysis

A novel approach for extracting ideal exemplars by clustering for massivetime-ordered datasets

Detecting hemorrhage types and bounding box of hemorrhage by deep learning

Hydrodynamic optimization of high-performance blade sections for stall regulated hydrokinetic turbines using Differential Evolution Algorithm

Two novel local binary pattern descriptors for texture analysis

A novel clustering method built on random weight artificial neural networks and differential evolution

Human identification based on accelerometer sensors obtained by mobile phone data

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