Browsing by Author "Devecioglu O.C."
Now showing items 1-4 of 4
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Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
Ince T.; Malik J.; Devecioglu O.C.; Kiranyaz, Mustafa Serkan; Avci O.; Eren L.; Gabbouj M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Preventive maintenance of modern electric rotating machinery (RM) is critical for ensuring reliable operation, preventing unpredicted breakdowns and avoiding costly repairs. Recently many studies investigated machine ... -
Real-Time Glaucoma Detection from Digital Fundus Images Using Self-ONNs
Devecioglu O.C.; Malik J.; Ince T.; Kiranyaz, Mustafa Serkan; Atalay E.; Gabbouj M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Glaucoma leads to permanent vision disability by damaging the optical nerve that transmits visual images to the brain. The fact that glaucoma does not show any symptoms as it progresses and cannot be stopped at the later ... -
Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks
Malik J.; Devecioglu O.C.; Kiranyaz, Mustafa Serkan; Ince T.; Gabbouj M. ( IEEE Computer Society , 2021 , Article)Despite the proliferation of numerous deep learning methods proposed for generic ECG classification and arrhythmia detection, compact systems with the real-time ability and high accuracy for classifying patient-specific ... -
Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network
Zahid M.U.; Kiranyaz, Mustafa Serkan; Ince T.; Devecioglu O.C.; Chowdhury M.E.H.; Khandakar A.; Tahir A.; Gabbouj M.... more authors ... less authors ( IEEE Computer Society , 2022 , Article)Objective: Noise and low quality of ECG signals acquired from Holter or wearable devices deteriorate the accuracy and robustness of R-peak detection algorithms. This paper presents a generic and robust system for R-peak ...