Browsing by Author "Kiranyaz, Serkan"
Now showing items 41-59 of 59
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Outlier edge detection using random graph generation models and applications
Zhang, Honglei; Kiranyaz, Serkan; Gabbouj, Moncef ( Springer , 2017 , Article)Outliers are samples that are generated by different mechanisms from other normal data samples. Graphs, in particular social network graphs, may contain nodes and edges that are made by scammers, malicious programs or ... -
Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification Using Nerve Conduction Studies
Haque, Fahmida; Reaz, Mamun B. I.; Chowdhury, Muhammad E. H.; Kiranyaz, Serkan; Ali, Sawal H. M.; Alhatou, Mohammed; Habib, Rumana; Bakar, Ahmad A. A.; Arsad, Norhana; Srivastava, Geetika... more authors ... less authors ( Hindawi Limited , 2022 , Article)Background. Diabetic sensorimotor polyneuropathy (DSPN) is a major form of complication that arises in long-term diabetic patients. Even though the application of machine learning (ML) in disease diagnosis is very common ... -
Personalized Monitoring and Advance Warning System for Cardiac Arrhythmias
Kiranyaz, Serkan; Ince, Turker; Gabbouj, Moncef ( Nature Publishing Group , 2017 , Article)Each year more than 7 million people die from cardiac arrhythmias. Yet no robust solution exists today to detect such heart anomalies right at the moment they occur. The purpose of this study was to design a personalized ... -
Powerline interference suppression of a textile-insulated capacitive biomedical sensor using digital filters
Ng, Charn Loong; Bin Ibne Reaz, Mamun; Bin Md Ali, Sawal Hamid; Crespo, Maria Liz; Cicuttin,; res; Hoque Chowdhury, Muhammad Enamul; Kiranyaz, Serkan; Kamal, Noorfazila Binti... more authors ... less authors ( Elsevier , 2023 , Article)This research evaluated a textile-insulated capacitive (TEX-C) biomedical sensor insulated by six types of textile materials namely cotton, linen, rayon, nylon, polyester, and PVC-textile. Each textile material creates a ... -
Real-Time and Web-Based Structural Damage Detection Network for Multiple Structures
Avci, Onur; Gül, Mustafa; Catbas, F. Necati; Celik, Ozan; Ince, Turker; Kiranyaz, Serkan... more authors ... less authors ( Springer , 2023 , Conference Paper)A structural damage detection system specifically designed to monitor multiple structures at a network level is introduced in this paper. Such a monitoring system improves resiliency and helps manage the operation and ... -
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
Ince, Turker; Kiranyaz, Serkan; Eren, Levent; Askar, Murat; Gabbouj, Moncef ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two distinct blocks: feature extraction and classification. Such ... -
Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks
Kiranyaz, Serkan; Ince, Turker; Gabbouj, Moncef ( IEEE Computer Society , 2016 , Article)Goal: This paper presents a fast and accurate patient-specific electrocardiogram (ECG) classification and monitoring system. Methods: An adaptive implementation of 1-D convolutional neural networks (CNNs) is inherently ... -
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
Abdeljaber, Osama; Avci, Onur; Kiranyaz, Serkan; Gabbouj, Moncef; Inmand, Daniel J. ( Academic Press , 2017 , Article)Structural health monitoring (SHM) and vibration-based structural damage detection have been a continuous interest for civil, mechanical and aerospace engineers over the decades. Early and meticulous damage detection has ... -
RELIABLE COVID-19 DETECTION USING CHEST X-RAY IMAGES
Degerli, Aysen; Ahishali, Mete; Kiranyaz, Serkan; Chowdhury, Muhammad E. H.; Gabbouj, Moncef ( IEEE Computer Society , 2021 , Conference Paper)Coronavirus disease 2019 (COVID-19) has emerged the need for computer-aided diagnosis with automatic, accurate, and fast algorithms. Recent studies have applied Machine Learning algorithms for COVID-19 diagnosis over chest ... -
Representation based regression for object distance estimation
Ahishali, Mete; Yamac, Mehmet; Kiranyaz, Serkan; Gabbouj, Moncef ( Elsevier , 2023 , Article)In this study, we propose a novel approach to predict the distances of the detected objects in an observed scene. The proposed approach modifies the recently proposed Convolutional Support Estimator Networks (CSENs). CSENs ... -
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks
Gabbouj, Moncef; Kiranyaz, Serkan; Malik, Junaid; Zahid, Muhammad Uzair; Ince, Turker; Chowdhury, Muhammad E. H.; Khandakar, Amith; Tahir, Anas... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Although numerous R-peak detectors have been proposed in the literature, their robustness and performance levels may significantly deteriorate in low-quality and noisy signals acquired from mobile electrocardiogram (ECG) ... -
Salient object segmentation based on linearly combined affinity graphs
Aytekin, Caglar; Iosifidis, Alexandros; Kiranyaz, Serkan; Gabbouj, Moncef ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this paper, we propose a graph affinity learning method for a recently proposed graph-based salient object detection method, namely Extended Quantum Cuts (EQCut). We exploit the fact that the output of EQCut is ... -
Self-ChakmaNet: A deep learning framework for indigenous language learning using handwritten characters
Kanchon Kanti, Podder; Emdad Khan, Ludmila; Chakma, Jyoti; Chowdhury, Muhammad E.H.; Dutta, Proma; Salam, Khan Md Anwarus; Khandakar, Amith; Ayari, Mohamed Arselene; Bhawmick, Bikash Kumar; Islam, S M Arafin; Kiranyaz, Serkan... more authors ... less authors ( Elsevier , 2023 , Article)According to UNESCO's Atlas of the World's Languages in Danger, 40% of the languages today are counted as endangered in the future. Indigenous languages are endangered because of the less availability of interactive learning ... -
Self-organizing binary encoding for approximate nearest neighbor search
Ozan, Ezgi Can; Kiranyaz, Serkan; Gabbouj, Moncef; Hu, Xiaohua ( European Signal Processing Conference, EUSIPCO , 2016 , Conference Paper)Approximate Nearest Neighbor (ANN) search for indexing and retrieval has become very popular with the recent growth of the databases in both size and dimension. In this paper, we propose a novel method for fast approximate ... -
SRL-SOA: SELF-REPRESENTATION LEARNING WITH SPARSE 1D-OPERATIONAL AUTOENCODER FOR HYPERSPECTRAL IMAGE BAND SELECTION
Ahishali, Mete; Kiranyaz, Serkan; Ahmad, Iftikhar; Gabbouj, Moncef ( IEEE Computer Society , 2022 , Conference Paper)The band selection in the hyperspectral image (HSI) data processing is an important task considering its effect on the computational complexity and accuracy. In this work, we propose a novel framework for the band selection ... -
The effect of automated taxa identification errors on biological indices
Arje, Johanna; Karkkainen, Salme; Meissner, Kristian; Iosifidis, Alexandros; Ince, Turker; Gabbouj, Moncef; Kiranyaz, Serkan... more authors ... less authors ( Elsevier Ltd , 2017 , Article)In benthic macroinvertebrate biomonitoring systems, the target is to determine the status of ecosystems based on several biological indices. To increase cost-efficiency, computer-based taxa identification for image data ... -
Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering
Raitoharju, Jenni; Kiranyaz, Serkan; Gabbouj, Moncef ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)In training radial basis function neural networks (RBFNNs), the locations of Gaussian neurons are commonly determined by clustering. Training inputs can be clustered on a fully unsupervised manner (input clustering), or ... -
Wireless and real-time structural damage detection: A novel decentralized method for wireless sensor networks
Avci, O.; Avci, Onur; Abdeljaber, Osama; Kiranyaz, Serkan; Hussein, Mohammed; Inman, Daniel J.... more authors ... less authors ( Elsevier , 2018 , Article)© 2018 Elsevier Ltd Being an alternative to conventional wired sensors, wireless sensor networks (WSNs) are extensively used in Structural Health Monitoring (SHM) applications. Most of the Structural Damage Detection (SDD) ... -
Zero-shot transfer learning for structural health monitoring using generative adversarial networks and spectral mapping
Soleimani-Babakamali, Mohammad Hesam; Soleimani-Babakamali, Roksana; Nasrollahzadeh, Kourosh; Avci, Onur; Kiranyaz, Serkan; Taciroglu, Ertugrul... more authors ... less authors ( Elsevier , 2023 , Article)Gathering properly labeled, adequately rich, and case-specific data for successfully training a purely data-driven or hybrid model for structural health monitoring (SHM) applications is a challenging task. We posit that a ...