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Browsing Araştırma Çıktıları / Research Outputs by Author "Ucar, Muhammed Kursad"

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A Novel Approach to Ensemble Classifiers: FsBoost-Based Subspace Method

Noor, Adeeb; Ucar, Muhammed Kursad; Polat, Kemal; Assiri, Abdullah; Nour, Redhwan (HINDAWI LTD, 2020)

In this article, an algorithm is proposed for creating an ensemble classifier. The name of the algorithm is the F-score subspace method (FsBoost). According to this method, the features are selected with the F-score and ...
Deep Transfer Learning for Chronic Obstructive Pulmonary Disease Detection Utilizing Electrocardiogram Signals

Moran, Inanc; Altilar, Deniz Turgay; Ucar, Muhammed Kursad; Bilgin, Cahit; Bozkurt, Mehmet Recep (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2023)

The motivation of this research is to introduce the first research on automated Chronic Obstructive Pulmonary Disease (COPD) diagnosis using deep learning and the first annotated dataset in this field. The primary objective ...
Development of hybrid artificial intelligence based automatic sleep/awake detection

Bozkurt, Mehmet Recep; Ucar, Muhammed Kursad; Bozkurt, Ferda; Bilgin, Cahit (INST ENGINEERING TECHNOLOGY-IET, 2020)

Background and Objective: Obstructive Sleep Apnea is a disease that causes respiratory arrest in sleep and reduces sleep quality. The diagnosis of the disease is made by the physician in two stages by examining the patient ...
Estimation of body fat percentage using hybrid machine learning algorithms

Ucar, Muhammed Kursad; Ucar, Zeliha; Koksal, Fatih; Daldal, Nihat (ELSEVIER SCI LTD, 2021)

Before obesity treatment, body fat percentage (BFP) should be determined. BFP cannot be measured by weighing. The devices developed to produce solutions to this problem are called Body Analysis Devices. These devices are ...
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection

Nour, Majid; Kandaz, Derya; Ucar, Muhammed Kursad; Polat, Kemal; Alhudhaif, Adi (HINDAWI LTD, 2022)

Objective. Measurement and monitoring of blood pressure are of great importance for preventing diseases such as cardiovascular and stroke caused by hypertension. Therefore, there is a need for advanced artificial ...
Sleep-wake stage detection with single channel ECG and hybrid machine learning model in patients with obstructive sleep apnea

Bozkurt, Ferda; Ucar, Muhammed Kursad; Bilgin, Cahit; Zengin, Ahmet (SPRINGER, 2021)

Sleep staging is an important step in the diagnosis of obstructive sleep apnea (OSA) and this step is performed by a physician who visually scores the electroencephalography, electrooculography and electromyography signals ...
The Effect of Training and Testing Process on Machine Learning in Biomedical Datasets

Ucar, Muhammed Kursad; Nour, Majid; Sindi, Hatem; Polat, Kemal (HINDAWI LTD, 2020)

Training and testing process for the classification of biomedical datasets in machine learning is very important. The researcher should choose carefully the methods that should be used at every step. However, there are ...