Search Results - "Yildirim, Ozal"

A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification by Yildirim, Özal

“…Long-short term memory networks (LSTMs), which have recently emerged in sequential data analysis, are the most widely used type of recurrent neural networks…”
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A deep convolutional neural network model for automated identification of abnormal EEG signals by Yıldırım, Özal, Baloglu, Ulas Baran, Acharya, U. Rajendra

“…Electroencephalogram (EEG) is widely used to monitor the brain activities. The manual examination of these signals by experts is strenuous and time consuming…”
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Application of deep transfer learning for automated brain abnormality classification using MR images by Talo, Muhammed, Baloglu, Ulas Baran, Yıldırım, Özal, Rajendra Acharya, U

“…•MR brain images are classified using a pre-trained model and deep transfer learning techniques.•The proposed model yields 5-fold classification accuracy of…”
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A new approach for arrhythmia classification using deep coded features and LSTM networks by Yildirim, Ozal, Baloglu, Ulas Baran, Tan, Ru-San, Ciaccio, Edward J., Acharya, U. Rajendra

“…•High performance classification of arrhythmia types with LSTM and CAE-LSTM based structures.•Signal sizes of arrhythmic beats are reduced by convolutional…”
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A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals by Yildirim, Ozal, Baloglu, Ulas Baran, Acharya, U Rajendra

“…Sleep disorder is a symptom of many neurological diseases that may significantly affect the quality of daily life. Traditional methods are time-consuming and…”
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Application of Computational Intelligence Methods for the Automated Identification of Paper-Ink Samples Based on LIBS by Rzecki, Krzysztof, Sośnicki, Tomasz, Baran, Mateusz, Niedźwiecki, Michał, Król, Małgorzata, Łojewski, Tomasz, Acharya, U Rajendra, Yildirim, Özal, Pławiak, Paweł

“…Laser-induced breakdown spectroscopy (LIBS) is an important analysis technique with applications in many industrial branches and fields of scientific research…”
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An Explainable Vision Transformer Model Based White Blood Cells Classification and Localization by Katar, Oguzhan, Yildirim, Ozal

“…White blood cells (WBCs) are crucial components of the immune system that play a vital role in defending the body against infections and diseases. The…”
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Optimal feature selection for classification of the power quality events using wavelet transform and least squares support vector machines by Erişti, Hüseyin, Yıldırım, Özal, Erişti, Belkıs, Demir, Yakup

“…► We developed an intelligent system to classify the power quality event. ► The proposed recognition system includes a new optimal feature selection method. ►…”
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Automatic recognition system of underlying causes of power quality disturbances based on S-Transform and Extreme Learning Machine by Erişti, Hüseyin, Yıldırım, Özal, Erişti, Belkıs, Demir, Yakup

“…•We developed an intelligent system to classify the power quality event.•The proposed recognition system includes different classification procedures.•The…”
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Recognition of Road Type and Quality for Advanced Driver Assistance Systems with Deep Learning by Tumen, Vedat, Yildirim, Ozal, Ergen, Burhan

“…To develop effective advanced driving assistance systems, it is important to accurately recognize current driving environments and make critical decisions…”
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An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images by Oztekin, Faruk, Katar, Oguzhan, Sadak, Ferhat, Yildirim, Muhammed, Cakar, Hakan, Aydogan, Murat, Ozpolat, Zeynep, Talo Yildirim, Tuba, Yildirim, Ozal, Faust, Oliver, Acharya, U Rajendra

“…Dental caries is the most frequent dental health issue in the general population. Dental caries can result in extreme pain or infections, lowering people's…”
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Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review by Ozkan, Dilek, Katar, Oguzhan, Ak, Murat, Al-Antari, Mugahed A., Yasan Ak, Nehir, Yildirim, Ozal, Mir, Hasan S., Tan, Ru-San, Rajendra Acharya, U.

“…Dementia is a condition that often comes with aging and affects how people think, remember, and behave. Diagnosing dementia early is important because it can…”
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Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review by Sadak, Omer, Sadak, Ferhat, Yildirim, Ozal, Iverson, Nicole M., Qureshi, Rizwan, Talo, Muhammed, Ooi, Chui Ping, Acharya, U. Rajendra, Gunasekaran, Sundaram, Alam, Tanvir

“…COVID-19 caused by the transmission of SARS-CoV-2 virus taking a huge toll on global health and caused life-threatening medical complications and elevated…”
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Face recognition based on convolutional neural network by Coskun, Musab, Ucar, Aysegul, Yildirim, Ozal, Demir, Yakup

“…Face recognition is of great importance to real world applications such as video surveillance, human machine interaction and security systems. As compared to…”
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Automatic classification of harmonic data using $k$-means and least square support vector machine by ERİŞTİ, Hüseyin, TÜMEN, Vedat, YILDIRIM, Özal, ERİŞTİ, Belkıs, DEMİR, Yakup

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Classification of myocardial infarction with multi-lead ECG signals and deep CNN by Baloglu, Ulas Baran, Talo, Muhammed, Yildirim, Ozal, Tan, Ru San, Acharya, U Rajendra

“…•An efficient deep learning model for the diagnosis of MI from the standard 12 lead ECG.•The proposed model can successfully distinguish between 10 different…”
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Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images by Celik, Yusuf, Talo, Muhammed, Yildirim, Ozal, Karabatak, Murat, Acharya, U Rajendra

“…•Deep transfer learning based invasive ductal carcinoma detection.•Pre-trained CNN models are employed to classify IDC and non-IDC image patches.•Experiments…”
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Convolutional neural networks for multi-class brain disease detection using MRI images by Talo, Muhammed, Yildirim, Ozal, Baloglu, Ulas Baran, Aydin, Galip, Acharya, U Rajendra

“…•We have proposed CNN based deep learning system for multi-class brain disease classification.•Normal and four main brain disease class are evaluted with five…”
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Automated detection of COVID-19 cases using deep neural networks with X-ray images by Ozturk, Tulin, Talo, Muhammed, Yildirim, Eylul Azra, Baloglu, Ulas Baran, Yildirim, Ozal, Rajendra Acharya, U.

“…The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of China in December 2019, spread rapidly around the world and became a pandemic…”
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Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review by Murat, Fatma, Yildirim, Ozal, Talo, Muhammed, Baloglu, Ulas Baran, Demir, Yakup, Acharya, U. Rajendra

“…Deep learning models have become a popular mode to classify electrocardiogram (ECG) data. Investigators have used a variety of deep learning techniques for…”
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