Serkan Kiranyaz

research

∙ 07/12/2023

Operational Support Estimator Networks

In this work, we propose a novel approach called Operational Support Est...

0 Mete Ahishali, et al. ∙

research

∙ 05/13/2023

Sound-to-Vibration Transformation for Sensorless Motor Health Monitoring

Automatic sensor-based detection of motor failures such as bearing fault...

0 Ozer Can Devecioglu, et al. ∙

research

∙ 02/23/2023

Real-Time Damage Detection in Fiber Lifting Ropes Using Convolutional Neural Networks

The health and safety hazards posed by worn crane lifting ropes mandate ...

0 Tuomas Jalonen, et al. ∙

research

∙ 12/30/2022

Blind Restoration of Real-World Audio by 1D Operational GANs

Objective: Despite numerous studies proposed for audio restoration in th...

0 Turker Ince, et al. ∙

research

∙ 12/12/2022

Zero-Shot Motor Health Monitoring by Blind Domain Transition

Continuous long-term monitoring of motor health is crucial for the early...

0 Serkan Kiranyaz, et al. ∙

research

∙ 12/07/2022

Zero-Shot Transfer Learning for Structural Health Monitoring using Generative Adversarial Networks and Spectral Mapping

Gathering properly labelled, adequately rich, and case-specific data for...

0 Mohammad Hesam Soleimani-Babakamali, et al. ∙

research

∙ 09/29/2022

R2C-GAN: Restore-to-Classify GANs for Blind X-Ray Restoration and COVID-19 Classification

Restoration of poor quality images with a blended set of artifacts plays...

0 Mete Ahishali, et al. ∙

research

∙ 07/17/2022

2D Self-Organized ONN Model For Handwritten Text Recognition

Deep Convolutional Neural Networks (CNNs) have recently reached state-of...

0 Hanadi Hassen Mohammed, et al. ∙

research

∙ 07/14/2022

A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG Survei

This paper proposes a low-cost and highly accurate ECG-monitoring system...

0 Mehmet Yamac, et al. ∙

research

∙ 05/21/2022

Evaluating Performance of Machine Learning Models for Diabetic Sensorimotor Polyneuropathy Severity Classification using Biomechanical Signals during Gait

Diabetic sensorimotor polyneuropathy (DSPN) is one of the prevalent form...

0 Fahmida Haque, et al. ∙

research

∙ 04/14/2022

Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography

Myocardial infarction (MI) is the leading cause of mortality and morbidi...

0 Aysen Degerli, et al. ∙

research

∙ 04/09/2022

Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis

The electroencephalogram (EEG) and functional near-infrared spectroscopy...

0 Md Shafayet Hossain, et al. ∙

research

∙ 04/07/2022

Global ECG Classification by Self-Operational Neural Networks with Feature Injection

Objective: Global (inter-patient) ECG classification for arrhythmia dete...

0 Muhammad Uzair Zahid, et al. ∙

research

∙ 02/21/2022

OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images

Coronavirus disease 2019 (COVID-19) has been diagnosed automatically usi...

0 Aysen Degerli, et al. ∙

research

∙ 02/20/2022

SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection

The band selection in the hyperspectral image (HSI) data processing is a...

0 Mete Ahishali, et al. ∙

research

∙ 01/29/2022

Blind ECG Restoration by Operational Cycle-GANs

Continuous long-term monitoring of electrocardiography (ECG) signals is ...

0 Serkan Kiranyaz, et al. ∙

research

∙ 01/20/2022

RamanNet: A generalized neural network architecture for Raman Spectrum Analysis

Raman spectroscopy provides a vibrational profile of the molecules and t...

0 Nabil Ibtehaz, et al. ∙

research

∙ 11/29/2021

Image denoising by Super Neurons: Why go deep?

Classical image denoising methods utilize the non-local self-similarity ...

37 Junaid Malik, et al. ∙

research

∙ 11/27/2021

ML-based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks

Device mobility in dense Wi-Fi networks offers several challenges. Two w...

0 Muhammad Asif Khan, et al. ∙

research

∙ 11/09/2021

Early Myocardial Infarction Detection over Multi-view Echocardiography

Myocardial infarction (MI) is the leading cause of mortality in the worl...

11 Aysen Degerli, et al. ∙

research

∙ 09/30/2021

Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks

Preventive maintenance of modern electric rotating machinery (RM) is cri...

0 Turker Ince, et al. ∙

research

∙ 09/28/2021

Real-Time Glaucoma Detection from Digital Fundus Images using Self-ONNs

Glaucoma leads to permanent vision disability by damaging the optical ne...

6 Ozer Can Devecioglu, et al. ∙

research

∙ 08/04/2021

Generalized Tensor Summation Compressive Sensing Network (GTSNET): An Easy to Learn Compressive Sensing Operation

In CS literature, the efforts can be divided into two groups: finding a ...

8 Mehmet Yamac, et al. ∙

research

∙ 06/27/2021

Representation Based Regression for Object Distance Estimation

In this study, we propose a novel approach to predict the distances of t...

10 Mete Ahishali, et al. ∙

research

∙ 06/27/2021

A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images

Diabetes foot ulceration (DFU) and amputation are a cause of significant...

68 Amith Khandakar, et al. ∙

research

∙ 05/25/2021

Self-Organized Variational Autoencoders (Self-VAE) for Learned Image Compression

In end-to-end optimized learned image compression, it is standard practi...

0 M. Akin Yilmaz, et al. ∙

research

∙ 03/26/2021

Fully Automated 2D and 3D Convolutional Neural Networks Pipeline for Video Segmentation and Myocardial Infarction Detection in Echocardiography

Cardiac imaging known as echocardiography is a non-invasive tool utilize...

0 Oumaima Hamila, et al. ∙

research

∙ 03/14/2021

COVID-19 Infection Localization and Severity Grading from Chest X-ray Images

Coronavirus disease 2019 (COVID-19) has been the main agenda of the whol...

0 Anas M. Tahir, et al. ∙

research

∙ 03/10/2021

Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms

With the rapid advancement of technology, different biometric user authe...

0 Arafat Rahman, et al. ∙

research

∙ 03/04/2021

Convolutional versus Self-Organized Operational Neural Networks for Real-World Blind Image Denoising

Real-world blind denoising poses a unique image restoration challenge du...

12 Junaid Malik, et al. ∙

research

∙ 03/04/2021

BM3D vs 2-Layer ONN

Despite their recent success on image denoising, the need for deep and c...

0 Junaid Malik, et al. ∙

research

∙ 02/16/2021

EDITH :ECG biometrics aided by Deep learning for reliable Individual auTHentication

In recent years, physiological signal based authentication has shown gre...

0 Nabil Ibtehaz, et al. ∙

research

∙ 02/15/2021

Detection and severity classification of COVID-19 in CT images using deep learning

Since the breakout of coronavirus disease (COVID-19), the computer-aided...

15 Yazan Qiblawey, et al. ∙

research

∙ 01/28/2021

Reliable COVID-19 Detection Using Chest X-ray Images

Coronavirus disease 2019 (COVID-19) has emerged the need for computer-ai...

0 Aysen Degerli, et al. ∙

research

∙ 12/29/2020

Robust R-Peak Detection in Low-Quality Holter ECGs using 1D Convolutional Neural Network

Noise and low quality of ECG signals acquired from Holter or wearable de...

0 Muhammad Uzair Zahid, et al. ∙

research

∙ 11/23/2020

Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer

Automatic classification of speech commands has revolutionized human com...

7 Mohammad Soltanian, et al. ∙

research

∙ 11/10/2020

Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks

Classification of polarimetric synthetic aperture radar (PolSAR) images ...

4 Mete Ahishali, et al. ∙

research

∙ 10/05/2020

Early Detection of Myocardial Infarction in Low-Quality Echocardiography

Myocardial infarction (MI), or commonly known as heart attack, is a life...

0 Aysen Degerli, et al. ∙

research

∙ 09/26/2020

COVID-19 Infection Map Generation and Detection from Chest X-Ray Images

Computer-aided diagnosis has become a necessity for accurate and immedia...

0 Aysen Degerli, et al. ∙

research

∙ 09/01/2020

Operational vs Convolutional Neural Networks for Image Denoising

Convolutional Neural Networks (CNNs) have recently become a favored tech...

0 Junaid Malik, et al. ∙

research

∙ 08/29/2020

Self-Organized Operational Neural Networks for Severe Image Restoration Problems

Discriminative learning based on convolutional neural networks (CNNs) ai...

1 Junaid Malik, et al. ∙

research

∙ 08/21/2020

Exploiting Heterogeneity in Operational Neural Networks by Synaptic Plasticity

The recently proposed network model, Operational Neural Networks (ONNs),...

0 Serkan Kiranyaz, et al. ∙

research

∙ 08/11/2020

Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection

Echocardiogram (echo) is the earliest and the primary tool for identifyi...

0 Serkan Kiranyaz, et al. ∙

research

∙ 06/07/2020

A Comparative Study on Early Detection of COVID-19 from Chest X-Ray Images

In this study, our first aim is to evaluate the ability of recent state-...

0 Mete Ahishali, et al. ∙

research

∙ 06/03/2020

FastONN – Python based open-source GPU implementation for Operational Neural Networks

Operational Neural Networks (ONNs) have recently been proposed as a spec...

0 Junaid Malik, et al. ∙

research

∙ 05/23/2020

Coronavirus: Comparing COVID-19, SARS and MERS in the eyes of AI

Novel Coronavirus disease (COVID-19) is an extremely contagious and quic...

52 Anas Tahir, et al. ∙

research

∙ 05/08/2020

Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images

Coronavirus disease (Covid-19) has been the main agenda of the whole wor...

12 Mehmet Yamac, et al. ∙

research

∙ 05/02/2020

An Intelligent and Low-cost Eye-tracking System for Motorized Wheelchair Control

In the 34 developed and 156 developing countries, there are about 132 mi...

3 Mahmoud Dahmani, et al. ∙

research

∙ 04/24/2020

Self-Organized Operational Neural Networks with Generative Neurons

Operational Neural Networks (ONNs) have recently been proposed to addres...

11 Serkan Kiranyaz, et al. ∙

research

∙ 04/09/2020

A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications

Monitoring structural damage is extremely important for sustaining and p...

0 Onur Avci, et al. ∙

Serkan Kiranyaz

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