Browsing by Author "Kiranyaz, Mustafa Serkan"
Now showing items 41-57 of 57
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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 ... -
Real-time throughput prediction for cognitive Wi-Fi networks
Khan M.A.; Hamila R.; Al-Emadi N.A.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Academic Press , 2020 , Article)Wi-Fi as a wireless networking technology has become a widely acceptable commonplace. Over the course of time, the applications landscape of Wi-Fi networks is growing tremendously. The proliferation of new services is ... -
Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs
Rahman A.; Chowdhury M.E.H.; Khandakar A.; Tahir A.M.; Ibtehaz N.; Hossain M.S.; Kiranyaz, Mustafa Serkan; Malik J.; Monawwar H.; Kadir M.A.... more authors ... less authors ( Elsevier Ltd , 2022 , Article)Harnessing the inherent anti-spoofing quality from electroencephalogram (EEG) signals has become a potential field of research in recent years. Although several studies have been conducted, still there are some vital ... -
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 for severe image restoration problems
Malik J.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Elsevier Ltd , 2021 , Article)Discriminative learning based on convolutional neural networks (CNNs) aims to perform image restoration by learning from training examples of noisy-clean image pairs. It has become the go-to methodology for tackling image ... -
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 ... -
Sepsis Prediction in Intensive Care Unit Using Ensemble of XGboost Models
Zabihi M.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( IEEE Computer Society , 2019 , Conference Paper)Sepsis is caused by the dysregulated host response to infection and potentially is the main cause of 6 million death annually. It is a highly dynamic syndrome and therefore the early prediction of sepsis plays a key role ... -
ShakeMe: Key generation from shared motion
Yüzugüzel H.; Niemi J.; Kiranyaz, Mustafa Serkan; Gabbouj M.; Heinz T. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Devices equipped with accelerometer sensors such as today's mobile devices can make use of motion to exchange information. A typical example for shared motion is shaking of two devices which are held together in one hand. ... -
Sleep stage classification using sparse rational decomposition of single channel EEG records
Samiee K.; Kovacs P.; Kiranyaz, Mustafa Serkan; Gabbouj M.; Saramaki T. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)A sparse representation of ID signals is proposed based on time-frequency analysis using Generalized Rational Discrete Short Time Fourier Transform (RDSTFT). First, the signal is decomposed into a set of frequency sub-bands ... -
Spatiotemporal saliency estimation by spectral foreground detection
Aytekin C.; Possegger H.; Mauthner T.; Kiranyaz, Mustafa Serkan; Bischof H.; Gabbouj M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)We present a novel approach for spatiotemporal saliency detection by optimizing a unified criterion of color contrast, motion contrast, appearance, and background cues. To this end, we first abstract the video by temporal ... -
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer
Soltanian M.; Malik J.; Raitoharju J.; Iosifidis A.; Kiranyaz, Mustafa Serkan; Gabbouj M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Automatic classification of speech commands has revolutionized human computer interactions in robotic applications. However, employed recognition models usually follow the methodology of deep learning with complicated ... -
Structural Damage Detection in Civil Engineering with Machine Learning: Current State of the Art
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan ( Springer , 2022 , Conference Paper)This paper presents a brief overview of vibration-based structural damage detection studies that are based on machine learning (ML) in civil engineering structures. The review includes both parametric and nonparametric ... -
Structural damage detection in real time: Implementation of 1D convolutional neural networks for SHM applications
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Inman D. ( Springer , 2017 , Conference Paper)Most of the classical structural damage detection systems involve two processes, feature extraction and feature classification. Usually, the feature extraction process requires large computational effort which prevent the ... -
Structural health monitoring with self-organizing maps and artificial neural networks
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Inman D. ( Springer New York LLC , 2020 , Conference Paper)The use of self-organizing maps and artificial neural networks for structural health monitoring is presented in this paper. The authors recently developed a nonparametric structural damage detection algorithm for extracting ... -
Vibration suppression in metastructures using zigzag inserts optimized by genetic algorithms
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Inman D. ( Springer New York LLC , 2017 , Conference Paper)Metastructures are known to provide considerable vibration attenuation for mechanical systems. With the optimization of the internal geometry of metastructures, the suppression performance of the host structure increases. ...