Search Results - "Baloglu, Ulas Baran"

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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Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals by Ay, Betul, Yildirim, Ozal, Talo, Muhammed, Baloglu, Ulas Baran, Aydin, Galip, Puthankattil, Subha D., Acharya, U. Rajendra

“…Depression affects large number of people across the world today and it is considered as the global problem. It is a mood disorder which can be detected using…”
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An Agent‐Based Pythagorean Fuzzy Approach for Demand Analysis with Incomplete Information by Baloglu, Ulas Baran, Demir, Yakup

“…Analyzing demand in environments with incomplete information is a challenging task. This paper proposes a novel agent‐based Pythagorean fuzzy approach for…”
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Computational and experimental study of aerosol dispersion in a ventilated room by Downing, George H., Hardalupas, Yannis, Archer, Justice, Symons, Henry E., Baloglu, Ulas Baran, Schien, Daniel, Bzdek, Bryan R., Reid, Jonathan P.

“…For many respiratory diseases, a primary mode of transmission is inhalation via aerosols and droplets. The COVID-19 pandemic has accelerated studies of aerosol…”
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Heartbeat type classification with optimized feature vectors by Yildirim, Özal, Baloglu, Ulas Baran

“…In this study, a feature vector optimization based method has been proposed for classification of the heartbeat types. Electrocardiogram (ECG) signals of five…”
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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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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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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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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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Lightweight privacy-preserving data aggregation scheme for smart grid metering infrastructure protection by Baloglu, Ulas Baran, Demir, Yakup

“…•A lightweight privacy-preserving data aggregation scheme for smart grids.•Lossless scheme by using a combination of encryption and perturbation…”
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Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals by Yildirim, Ozal, Talo, Muhammed, Ay, Betul, Baloglu, Ulas Baran, Aydin, Galip, Acharya, U. Rajendra

“…In this study, a deep-transfer learning approach is proposed for the automated diagnosis of diabetes mellitus (DM), using heart rate (HR) signals obtained from…”
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An Agent-Based Pythagorean Fuzzy Approach for Demand Analysis with Incomplete Information: AN AGENT-BASED PYTHAGOREAN FUZZY APPROACH by Baloglu, Ulas Baran, Demir, Yakup

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Assessment of Supervised Learning Algorithms for Irony Detection in Online Social Media by Baloglu, Ulas Baran, Alatas, Bilal, Bingol, Harun

“…The social media has become one of the most widely used communication tools for people to share their opinions with others. The irony, with a simple…”
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Top-Down Motif Discovery in Biological Sequence Datasets by Genetic Algorithm by BALOGLU, Ulas Baran, KAYA, Mehmet

“…This paper presents a novel approach for motif discovery. Finding motif in biosequences is the most important primitive operation in computational biology…”
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