Browsing by Author "Kiranyaz, Mustafa Serkan"
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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 ... -
1D Convolutional Neural Networks Versus Automatic Classifiers for Known LPI Radar Signals under White Gaussian Noise
Yildirim A.; Kiranyaz, Mustafa Serkan ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)In this study we analyze the signal classification performances of various classifiers for deterministic signals under the additive White Gaussian Noise (WGN) in a wide range of signal to noise ratio (SNR) levels (-40dB ... -
3D Quantum Cuts for automatic segmentation of porous media in tomography images
Malik J.; Kiranyaz, Mustafa Serkan; Al-Raoush R.I.; Monga O.; Garnier P.; Foufou S.; Bouras A.; Iosifidis A.; Gabbouj M.; Baveye P.C.... more authors ... less authors ( Elsevier Ltd , 2022 , Article)Binary segmentation of volumetric images of porous media is a crucial step towards gaining a deeper understanding of the factors governing biogeochemical processes at minute scales. Contemporary work primarily revolves ... -
A k-nearest neighbor multilabel ranking algorithm with application to content-based image retrieval
Zhang H.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Multilabel ranking is an important machine learning task with many applications, such as content-based image retrieval (CBIR). However, when the number of labels is large, traditional algorithms are either infeasible or ... -
A New Benchmark Problem for Structural Damage Detection: Bolt Loosening Tests on a Large-Scale Laboratory Structure
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Hussein M.; Gabbouj M.; Inman D.... more authors ... less authors ( Springer , 2022 , Conference Paper)Monitoring the structural performance of engineering structures has always been pertinent for maintaining structural health and assessing the life cycle of structures. Structural Health Monitoring (SHM) and Structural ... -
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Hussein M.; Gabbouj M.; Inman D.J.... more authors ... less authors ( Academic Press , 2021 , Article Review)Monitoring structural damage is extremely important for sustaining and preserving the service life of civil structures. While successful monitoring provides resolute and staunch information on the health, serviceability, ... -
A Social Distance Estimation and Crowd Monitoring System for Surveillance Cameras
Al-Sa'd M.; Kiranyaz, Mustafa Serkan; Ahmad I.; Sundell C.; Vakkuri M.; Gabbouj M.... more authors ... less authors ( MDPI , 2022 , Article)Social distancing is crucial to restrain the spread of diseases such as COVID-19, but complete adherence to safety guidelines is not guaranteed. Monitoring social distancing through mass surveillance is paramount to develop ... -
An intelligent and low-cost eye-tracking system for motorized wheelchair control
Dahmani M.; Chowdhury M.E.H.; Khandakar A.; Rahman T.; Al-Jayyousi K.; Hefny A.; Kiranyaz, Mustafa Serkan... more authors ... less authors ( MDPI AG , 2020 , Article)In the 34 developed and 156 developing countries, there are ~132 million disabled people who need a wheelchair, constituting 1.86% of the world population. Moreover, there are millions of people suffering from diseases ... -
An Overview of Deep Learning Methods Used in Vibration-Based Damage Detection in Civil Engineering
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan ( Springer , 2022 , Conference Paper)This paper presents a brief overview of vibration-based damage identification studies based on Deep Learning (DL) in civil engineering structures. The presence, type, size, and propagation of structural damage on civil ... -
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 ... -
Control of plate vibrations with artificial neural networks and piezoelectricity
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Inman D. ( Springer New York LLC , 2020 , Conference Paper)This paper presents a method for active vibration control of smart thin cantilever plates. For model formulation needed for controller design and simulations, finite difference technique is used on the cantilever plate ... -
Convolutional neural networks for real-time and wireless damage detection
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Inman D. ( Springer New York LLC , 2020 , Conference Paper)Structural damage detection methods available for structural health monitoring applications are based on data preprocessing, feature extraction, and feature classification. The feature classification task requires considerable ... -
Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing
Yamac M.; Ahishali M.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Support estimation (SE) of a sparse signal refers to finding the location indices of the nonzero elements in a sparse representation. Most of the traditional approaches dealing with SE problems are iterative algorithms ... -
COVID-19 infection localization and severity grading from chest X-ray images
Tahir A.M.; Chowdhury M.E.H.; Khandakar A.; Rahman T.; Qiblawey Y.; Khurshid U.; Kiranyaz, Mustafa Serkan; Ibtehaz N.; Rahman M.S.; Al-Maadeed S.; Mahmud S.; Ezeddin M.; Hameed K.; Hamid T.... more authors ... less authors ( Elsevier Ltd , 2021 , Article)The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic ... -
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images
Tahir A.M.; Qiblawey Y.; Khandakar A.; Rahman T.; Khurshid U.; Musharavati F.; Islam M.T.; Kiranyaz, Mustafa Serkan; Al-Maadeed S.; Chowdhury M.E.H.... more authors ... less authors ( Springer , 2022 , Article)Novel coronavirus disease (COVID-19) is an extremely contagious and quickly spreading coronavirus infestation. Severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), which outbreak in 2002 ... -
Detection and severity classification of COVID-19 in CT images using deep learning
Qiblawey Y.; Tahir A.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Rahman T.; Ibtehaz N.; Mahmud S.; Al Maadeed S.; Musharavati F.; Ayari M.A.... more authors ... less authors ( MDPI , 2021 , Article)Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from ... -
Driver Drowsiness Detection Study using Heart Rate Variability analysis in Virtual Reality Environment
Chowdhury, Muhammad E.H.; El Beheri, Samir Hussein; Albardawil, Mohammed Nabil; Moustafa, Ahmed Khaled Mohamed Nageb; Halabi, Osama; Kiranyaz, Mustafa Serkan... more authors ... less authors ( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)Introduction Mobility and road safety is one of the grand challenges that Qatar is facing during the last decade. There are many ways to enhance the road safety. One way is to characterize the factors contributing to the ... -
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 ... -
Early Detection of Myocardial Infarction in Low-Quality Echocardiography
Degerli A.; Zabihi M.; Kiranyaz, Mustafa Serkan; Hamid T.; Mazhar R.; Hamila R.; Gabbouj M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Myocardial infarction (MI), or commonly known as heart attack, is a life-threatening health problem worldwide from which 32.4 million people suffer each year. Early diagnosis and treatment of MI are crucial to prevent ... -
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication
Ibtehaz N.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Rahman M.S.; Tahir A.; Qiblawey Y.; Rahman T.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)In recent years, physiological signal-based authentication has shown great promises, for its inherent robustness against forgery. Electrocardiogram (ECG) signal, being the most widely studied biosignal, has also received ...