Browsing Qatar University Institutional Repository by Author "Gabbouj M."
Now showing items 1-20 of 51
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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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Face segmentation in thumbnail images by data-adaptive convolutional segmentation networks
Kiranyaz, Mustafa Serkan; Waris M.-A.; Ahmad I.; Hamila R.; Gabbouj M. ( IEEE Computer Society , 2016 , Conference Paper)In this study we address the problem of face segmentation in thumbnail images. While there have been several approaches for face detection, none performs detection in such low resolution and segmentation with pixel accuracy. ... -
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 ...