تصفح حسب المؤلف "Ince T."
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1-D Convolutional Neural Networks for Signal Processing Applications
Kiranyaz, Serkan; Ince, Turker; Abdeljaber, Osama; Avci, Onur; Gabbouj, Moncef ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)1D Convolutional Neural Networks (CNNs) have recently become the state-of-the-art technique for crucial signal processing applications such as patient-specific ECG classification, structural health monitoring, anomaly ... -
1D convolutional neural networks and applications: A survey
Kiranyaz, Mustafa Serkan; Avci O.; Abdeljaber O.; Ince T.; Gabbouj M.; Inman D.J.... more authors ... less authors ( Academic Press , 2021 , Article)During the last decade, Convolutional Neural Networks (CNNs) have become the de facto standard for various Computer Vision and Machine Learning operations. CNNs are feed-forward Artificial Neural Networks (ANNs) with ... -
A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier
Eren L.; Ince T.; Kiranyaz S. ( Springer New York LLC , 2019 , Article)Timely and accurate bearing fault detection and diagnosis is important for reliable and safe operation of industrial systems. In this study, performance of a generic real-time induction bearing fault diagnosis system ... -
Classification of polarimetric SAR images using compact convolutional neural networks
Ahishali M.; Kiranyaz, Mustafa Serkan; Ince T.; Gabbouj M. ( Bellwether Publishing, Ltd. , 2021 , Article)Classification of polarimetric synthetic aperture radar (PolSAR) images is an active research area with a major role in environmental applications. The traditional Machine Learning (ML) methods proposed in this domain ... -
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 ... -
Exploiting heterogeneity in operational neural networks by synaptic plasticity
Kiranyaz, Mustafa Serkan; Malik J.; Abdallah H.B.; Ince T.; Iosifidis A.; Gabbouj M.... more authors ... less authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Article)The recently proposed network model, Operational Neural Networks (ONNs), can generalize the conventional Convolutional Neural Networks (CNNs) that are homogenous only with a linear neuron model. As a heterogenous network ... -
Learned vs. hand-designed features for ECG beat classification: A comprehensive study
Ince T.; Zabihi M.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Springer Verlag , 2017 , Conference Paper)In this study, in order to find out the best ECG classification performance we realized comparative evaluations among the state-of-the-art classifiers such as Convolutional Neural Networks (CNNs), multi-layer perceptrons ... -
Multifrequency Polsar Image Classification Using Dual-Band 1D Convolutional Neural Networks
Ahishali M.; Kiranyaz, Mustafa Serkan; Ince T.; Gabbouj M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)In this work, we propose a novel classification approach based on dual-band one-dimensional Convolutional Neural Networks (1D-CNNs) for classification of multifrequency polarimetric SAR (PolSAR) data. The proposed approach ... -
Operational neural networks
Kiranyaz, Mustafa Serkan; Ince T.; Iosifidis A.; Gabbouj M. ( Springer , 2020 , Article)Feed-forward, fully connected artificial neural networks or the so-called multi-layer perceptrons are well-known universal approximators. However, their learning performance varies significantly depending on the function ... -
Performance Comparison of Learned vs. Engineered Features for Polarimetric SAR Terrain Classification
Ahishali M.; Ince T.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)In this work, we propose to use learned features for terrain classification of Polarimetric Synthetic Aperture Radar (PolSAR) images. In the proposed classification framework, the learned features are extracted from sliding ... -
Progressive Operational Perceptrons
Kiranyaz, Mustafa Serkan; Ince T.; Iosifidis A.; Gabbouj M. ( Elsevier B.V. , 2017 , Article)There are well-known limitations and drawbacks on the performance and robustness of the feed-forward, fully-connected Artificial Neural Networks (ANNs), or the so-called Multi-Layer Perceptrons (MLPs). In this study we ... -
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 ... -
Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks
Kiranyaz, Mustafa Serkan; Zabihi M.; Rad A.B.; Ince T.; Hamila R.; Gabbouj M.... more authors ... less authors ( Elsevier B.V. , 2020 , Article)The heart sound signals (Phonocardiogram ? PCG) enable the earliest monitoring to detect a potential cardiovascular pathology and have recently become a crucial tool as a diagnostic test in outpatient monitoring to assess ... -
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 ... -
Self-organized Operational Neural Networks with Generative Neurons
Kiranyaz, Mustafa Serkan; Malik J.; Abdallah H.B.; Ince T.; Iosifidis A.; Gabbouj M.... more authors ... less authors ( Elsevier Ltd , 2021 , Article)Operational Neural Networks (ONNs) have recently been proposed to address the well-known limitations and drawbacks of conventional Convolutional Neural Networks (CNNs) such as network homogeneity with the sole linear neuron ...