تصفح حسب المؤلف "Kiranyaz S."
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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 ... -
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 ... -
Acceleration Approaches for Big Data Analysis
Muravev A.; Tran D.T.; Iosifidis A.; Kiranyaz S.; Gabbouj M. ( IEEE Computer Society , 2018 , Conference Paper)The massive size of data that needs to be processed by Machine Learning models nowadays sets new challenges related to their computational complexity and memory footprint. These challenges span all processing steps involved ... -
Automatic Sleep Arousal Detection Using State Distance Analysis in Phase Space
Zabihi M.; Rad A.B.; Sarkka S.; Kiranyaz S.; Katsaggelos A.K.; Gabbouj M.... more authors ... less authors ( IEEE Computer Society , 2018 , Conference Paper)Defective sleep arousal can contribute to significant sleep-related injuries and affect the quality of life. Investigating the arousal process is a challenging task as most of such events may be associated with subtle ... -
Benchmark database for fine-grained image classification of benthic macroinvertebrates
Raitoharju J.; Riabchenko E.; Ahmad I.; Iosifidis A.; Gabbouj M.; Kiranyaz S.; Tirronen V.; Ärje J.; Kärkkäinen S.; Meissner K.... more authors ... less authors ( Elsevier Ltd , 2018 , Article)Managing the water quality of freshwaters is a crucial task worldwide. One of the most used methods to biomonitor water quality is to sample benthic macroinvertebrate communities, in particular to examine the presence and ... -
Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models
Hossain, Amran; Islam, Mohammad T.; Rahman, Tawsifur; Chowdhury, Muhammad E. H.; Tahir, Anas; Kiranyaz, Serkan; Mat, Kamarulzaman; Beng, Gan K.; Soliman, Mohamed S.... more authors ... less authors ( MDPI , 2023 , Article)Automated brain tumor segmentation from reconstructed microwave (RMW) brain images and image classification is essential for the investigation and monitoring of the progression of brain disease. The manual detection, ... -
Data Clustering Based on Community Structure in Mutual k-Nearest Neighbor Graph
Zhang H.; Kiranyaz S.; Gabbouj M. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Data clustering is a fundamental machine learning problem. Community structure is common in social and biological networks. In this article we propose a novel data clustering algorithm that uses this phenomenon in mutual ... -
Emergent properties of microbial activity in heterogeneous soil microenvironments: Different research approaches are slowly converging, yet major challenges remain
Baveye P.C.; Otten W.; Kravchenko A.; Balseiro-Romero M.; Beckers E.; Chalhoub M.; Darnault C.; Eickhorst T.; Garnier P.; Hapca S.; Kiranyaz S.; Monga O.; Mueller C.W.; Nunan N.; Pot V.; Schluter S.; Schmidt H.; Vogel H.-J.... more authors ... less authors ( Frontiers Media S.A. , 2018 , Article Review)Over the last 60 years, soil microbiologists have accumulated a wealth of experimental data showing that the bulk, macroscopic parameters (e.g., granulometry, pH, soil organic matter, and biomass contents) commonly used ... -
Fault detection and severity identification of ball bearings by online condition monitoring
Abdeljaber O.; Sassi S.; Avci O.; Kiranyaz S.; Ibrahim A.A.; Gabbouj M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)This paper presents a fast, accurate, and simple systematic approach for online condition monitoring and severity identification of ball bearings. This approach utilizes compact one-dimensional (1-D) convolutional neural ... -
Feature synthesis for image classification and retrieval via one-against-all perceptrons
Raitoharju J.; Kiranyaz S.; Gabbouj M. ( Springer London , 2018 , Article)Most existing content-based image retrieval and classification systems rely on low-level features which are automatically extracted from images. However, often these features lack the discrimination power needed for accurate ... -
Feature-Based Cardiac Cycle Segmentation in Phonocardiogram Recordings
Taipalmaa J.; Zabihi M.; Gabbouj M.; Kiranyaz S. ( IEEE Computer Society , 2018 , Conference Paper)Phonocardiogram (PCG) conveys crucial information for cardiac health evaluation in ambulatory care and is an essential diagnostic test for heart assessment. Thus, identification and positioning of the first and second heart ... -
Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons
Tran D.T.; Kiranyaz S.; Gabbouj M.; Iosifidis A. ( IEEE Computer Society , 2019 , Conference Paper)Face verification is a prominent biometric technique for identity authentication that has been used extensively in several security applications. In practice, face verification is often performed along with other visual ... -
Real-Time Fault Detection and Identification for MMC Using 1-D Convolutional Neural Networks
Kiranyaz S.; Gastli A.; Ben-Brahim L.; Al-Emadi N.; Gabbouj M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Automated early detection and identification of switch faults are essential in high-voltage applications. Modular multilevel converter (MMC) is a new and promising topology for such applications. MMC is composed of many ...