In this work, we propose a novel approach called Operational Support
Est...
Automatic sensor-based detection of motor failures such as bearing fault...
The health and safety hazards posed by worn crane lifting ropes mandate
...
Objective: Despite numerous studies proposed for audio restoration in th...
Continuous long-term monitoring of motor health is crucial for the early...
Gathering properly labelled, adequately rich, and case-specific data for...
Restoration of poor quality images with a blended set of artifacts plays...
Deep Convolutional Neural Networks (CNNs) have recently reached
state-of...
This paper proposes a low-cost and highly accurate ECG-monitoring system...
Diabetic sensorimotor polyneuropathy (DSPN) is one of the prevalent form...
Myocardial infarction (MI) is the leading cause of mortality and morbidi...
The electroencephalogram (EEG) and functional near-infrared spectroscopy...
Objective: Global (inter-patient) ECG classification for arrhythmia dete...
Coronavirus disease 2019 (COVID-19) has been diagnosed automatically usi...
The band selection in the hyperspectral image (HSI) data processing is a...
Continuous long-term monitoring of electrocardiography (ECG) signals is
...
Raman spectroscopy provides a vibrational profile of the molecules and t...
Classical image denoising methods utilize the non-local self-similarity
...
Device mobility in dense Wi-Fi networks offers several challenges. Two
w...
Myocardial infarction (MI) is the leading cause of mortality in the worl...
Preventive maintenance of modern electric rotating machinery (RM) is cri...
Glaucoma leads to permanent vision disability by damaging the optical ne...
In CS literature, the efforts can be divided into two groups: finding a
...
In this study, we propose a novel approach to predict the distances of t...
Diabetes foot ulceration (DFU) and amputation are a cause of significant...
In end-to-end optimized learned image compression, it is standard practi...
Cardiac imaging known as echocardiography is a non-invasive tool utilize...
Coronavirus disease 2019 (COVID-19) has been the main agenda of the whol...
With the rapid advancement of technology, different biometric user
authe...
Real-world blind denoising poses a unique image restoration challenge du...
Despite their recent success on image denoising, the need for deep and
c...
In recent years, physiological signal based authentication has shown gre...
Since the breakout of coronavirus disease (COVID-19), the computer-aided...
Coronavirus disease 2019 (COVID-19) has emerged the need for computer-ai...
Noise and low quality of ECG signals acquired from Holter or wearable de...
Automatic classification of speech commands has revolutionized human com...
Classification of polarimetric synthetic aperture radar (PolSAR) images ...
Myocardial infarction (MI), or commonly known as heart attack, is a
life...
Computer-aided diagnosis has become a necessity for accurate and immedia...
Convolutional Neural Networks (CNNs) have recently become a favored tech...
Discriminative learning based on convolutional neural networks (CNNs) ai...
The recently proposed network model, Operational Neural Networks (ONNs),...
Echocardiogram (echo) is the earliest and the primary tool for identifyi...
In this study, our first aim is to evaluate the ability of recent
state-...
Operational Neural Networks (ONNs) have recently been proposed as a spec...
Novel Coronavirus disease (COVID-19) is an extremely contagious and quic...
Coronavirus disease (Covid-19) has been the main agenda of the whole wor...
In the 34 developed and 156 developing countries, there are about 132 mi...
Operational Neural Networks (ONNs) have recently been proposed to addres...
Monitoring structural damage is extremely important for sustaining and
p...