Covidx-net: A framework of deep learning classifiers to diagnose covid-19 in x-ray images
Background and Purpose: Coronaviruses (CoV) are perilous viruses that may cause Severe
Acute Respiratory Syndrome (SARS-CoV), Middle East Respiratory Syndrome (MERS-CoV) …
Acute Respiratory Syndrome (SARS-CoV), Middle East Respiratory Syndrome (MERS-CoV) …
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost
Introduction In late 2019 and after the COVID-19 pandemic in the world, many researchers
and scholars tried to provide methods for detecting COVID-19 cases. Accordingly, this study …
and scholars tried to provide methods for detecting COVID-19 cases. Accordingly, this study …
Cascaded deep learning classifiers for computer-aided diagnosis of COVID-19 and pneumonia diseases in X-ray scans
Computer-aided diagnosis (CAD) systems are considered a powerful tool for physicians to
support identification of the novel Coronavirus Disease 2019 (COVID-19) using medical …
support identification of the novel Coronavirus Disease 2019 (COVID-19) using medical …
Deep learning-based approach for detecting COVID-19 in chest X-rays
ME Sahin - Biomedical Signal Processing and Control, 2022 - Elsevier
Abstract Today, 2019 Coronavirus (COVID-19) infections are a major health concern
worldwide. Therefore, detecting COVID-19 in X-ray images is crucial for diagnosis …
worldwide. Therefore, detecting COVID-19 in X-ray images is crucial for diagnosis …
[HTML][HTML] FCOD: Fast COVID-19 Detector based on deep learning techniques
The sudden COVID-19 pandemic has caused a serious global concern due to infections and
mortality rates. It is a hazardous disease that has recently become the biggest crisis in the …
mortality rates. It is a hazardous disease that has recently become the biggest crisis in the …
IoT and neural network-based water pumping control system for smart irrigation
ME Karar, MF Al-Rasheed, AF Al-Rasheed… - arXiv preprint arXiv …, 2020 - arxiv.org
This article aims at saving the wasted water in the process of irrigation using the Internet of
Things (IoT) based on a set of sensors and Multi-Layer Perceptron (MLP) neural network …
Things (IoT) based on a set of sensors and Multi-Layer Perceptron (MLP) neural network …
Semiautonomous robotic manipulator for minimally invasive aortic valve replacement
I Tamadon, SMH Sadati, V Mamone… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Aortic valve surgery is the preferred procedure for replacing a damaged valve with an
artificial one. The ValveTech robotic platform comprises a flexible articulated manipulator …
artificial one. The ValveTech robotic platform comprises a flexible articulated manipulator …
A simple and accurate method for computer-aided transapical aortic valve replacement
Background and purpose Transapical aortic valve replacement (TAVR) is a recent minimally
invasive surgical treatment technique for elderly and high-risk patients with severe aortic …
invasive surgical treatment technique for elderly and high-risk patients with severe aortic …
Augmented reality image guidance improves navigation for beating heart mitral valve repair
MWA Chu, J Moore, T Peters, D Bainbridge… - …, 2012 - journals.sagepub.com
Objective Emerging off-pump beating heart valve repair techniques offer patients less
invasive alternatives for mitral valve (MV) repair. However, most of these techniques rely on …
invasive alternatives for mitral valve (MV) repair. However, most of these techniques rely on …
Automatic data-driven agriculture system for hydroponic farming
KT Mya, M Myint Sein, THI Thi Soe Nyunt… - Proceedings of the …, 2021 - dl.acm.org
Until 2050, global urbanization will increase to 2.4 billion cities and towns. As the population
grows, so does the consumption of fruits and vegetables. There will be a need for …
grows, so does the consumption of fruits and vegetables. There will be a need for …