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Serkan Kiranyaz
Serkan Kiranyaz
Professor in Electrical Engineering Department, Qatar University
Verified email at qu.edu.qa - Homepage
Title
Cited by
Cited by
Year
1D convolutional neural networks and applications: A survey
S Kiranyaz, O Avci, O Abdeljaber, T Ince, M Gabbouj, DJ Inman
Mechanical Systems and Signal Processing 151, 1-24, 2021
22632021
Real-time patient-specific ECG classification by 1-D convolutional neural networks
S Kiranyaz, T Ince, M Gabbouj
IEEE transactions on biomedical engineering 63 (3), 664-675, 2015
19082015
Real-time motor fault detection by 1-D convolutional neural networks
T Ince, S Kiranyaz, L Eren, M Askar, M Gabbouj
IEEE Transactions on Industrial Electronics 63 (11), 7067-7075, 2016
13912016
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
O Abdeljaber, O Avci, S Kiranyaz, M Gabbouj, DJ Inman
Journal of sound and vibration 388, 154-170, 2017
12622017
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
O Avci, O Abdeljaber, S Kiranyaz, M Hussein, M Gabbouj, DJ Inman
Mechanical systems and signal processing 147, 107077, 2021
11012021
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
T Rahman, A Khandakar, Y Qiblawey, A Tahir, S Kiranyaz, SBA Kashem, ...
Computers in biology and medicine 132, 104319, 2021
10382021
A generic intelligent bearing fault diagnosis system using compact adaptive 1D CNN classifier
L Eren, T Ince, S Kiranyaz
Journal of Signal Processing Systems 91 (2), 179-189, 2019
6542019
A generic and robust system for automated patient-specific classification of ECG signals
T Ince, S Kiranyaz, M Gabbouj
IEEE Transactions on Biomedical Engineering 56 (5), 1415-1426, 2009
6022009
1-D CNNs for Structural Damage Detection: Verification on a Structural Health Monitoring Benchmark Data
DI Osama Abdeljaber, Onur Avci, Serkan Kiranyaz, Boualem Boashash, Henry Sodano
Neurocomputing 275, 1308-1317, 2018
5102018
Convolutional neural networks for patient-specific ECG classification
S Kiranyaz, T Ince, R Hamila, M Gabbouj
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
3652015
Evolutionary artificial neural networks by multi-dimensional particle swarm optimization
S Kiranyaz, T Ince, A Yildirim, M Gabbouj
Neural networks 22 (10), 1448-1462, 2009
3372009
1-D convolutional neural networks for signal processing applications
S Kiranyaz, T Ince, O Abdeljaber, O Avci, M Gabbouj
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
3342019
Real-time fault detection and identification for MMC using 1-D convolutional neural networks
S Kiranyaz, A Gastli, L Ben-Brahim, N Al-Emadi, M Gabbouj
IEEE Transactions on Industrial Electronics 66 (11), 8760-8771, 2018
3232018
Emergent Properties of Microbial Activity in Heterogeneous Soil Microenvironments: Different Research Approaches Are Slowly Converging, Yet Major Challenges Remain
Frontiers in Microbiology 9, 1-48, 2018
256*2018
Wireless and real-time structural damage detection: A novel decentralized method for wireless sensor networks
O Avci, O Abdeljaber, S Kiranyaz, M Hussein, DJ Inman
Journal of Sound and Vibration 424, 158-172, 2018
2372018
Multidimensional particle swarm optimization for machine learning and pattern recognition
S Kiranyaz, T Ince, M Gabbouj
Springer, 2014
2122014
Heart sound anomaly and quality detection using ensemble of neural networks without segmentation
M Zabihi, AB Rad, S Kiranyaz, M Gabbouj, AK Katsaggelos
2016 computing in cardiology conference (CinC), 613-616, 2016
2102016
Detection of atrial fibrillation in ECG hand-held devices using a random forest classifier
M Zabihi, AB Rad, AK Katsaggelos, S Kiranyaz, S Narkilahti, M Gabbouj
2017 computing in cardiology (cinc), 1-4, 2017
1832017
Integrating color features in polarimetric SAR image classification
S Uhlmann, S Kiranyaz
IEEE Transactions on Geoscience and Remote Sensing 52 (4), 2197-2216, 2013
1792013
COVID-19 infection localization and severity grading from chest X-ray images
AM Tahir, MEH Chowdhury, A Khandakar, T Rahman, Y Qiblawey, ...
Computers in biology and medicine 139, 105002, 2021
1702021
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