research
∙
07/12/2023
Operational Support Estimator Networks
In this work, we propose a novel approach called Operational Support Est...
share
research
∙
05/13/2023
Sound-to-Vibration Transformation for Sensorless Motor Health Monitoring
Automatic sensor-based detection of motor failures such as bearing fault...
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 ...
research
∙
12/30/2022
Blind Restoration of Real-World Audio by 1D Operational GANs
Objective: Despite numerous studies proposed for audio restoration in th...
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...
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...
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...
research
∙
07/17/2022
2D Self-Organized ONN Model For Handwritten Text Recognition
Deep Convolutional Neural Networks (CNNs) have recently reached state-of...
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...
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...
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...
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...
research
∙
04/07/2022
Global ECG Classification by Self-Operational Neural Networks with Feature Injection
Objective: Global (inter-patient) ECG classification for arrhythmia dete...
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...
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...
research
∙
01/29/2022
Blind ECG Restoration by Operational Cycle-GANs
Continuous long-term monitoring of electrocardiography (ECG) signals is ...
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...
research
∙
11/29/2021
Image denoising by Super Neurons: Why go deep?
Classical image denoising methods utilize the non-local self-similarity ...
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...
research
∙
11/09/2021
Early Myocardial Infarction Detection over Multi-view Echocardiography
Myocardial infarction (MI) is the leading cause of mortality in the worl...
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...
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...
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 ...
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...
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...
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...
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...
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...
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...
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...
research
∙
03/04/2021
BM3D vs 2-Layer ONN
Despite their recent success on image denoising, the need for deep and c...
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...
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...
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...
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...
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...
research
∙
11/10/2020
Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks
Classification of polarimetric synthetic aperture radar (PolSAR) images ...
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...
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...
research
∙
09/01/2020
Operational vs Convolutional Neural Networks for Image Denoising
Convolutional Neural Networks (CNNs) have recently become a favored tech...
research
∙
08/29/2020
Self-Organized Operational Neural Networks for Severe Image Restoration Problems
Discriminative learning based on convolutional neural networks (CNNs) ai...
research
∙
08/21/2020
Exploiting Heterogeneity in Operational Neural Networks by Synaptic Plasticity
The recently proposed network model, Operational Neural Networks (ONNs),...
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...
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-...
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...
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...
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...
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...
research
∙
04/24/2020
Self-Organized Operational Neural Networks with Generative Neurons
Operational Neural Networks (ONNs) have recently been proposed to addres...
research
∙
04/09/2020
