Covidx-net: A framework of deep learning classifiers to diagnose covid-19 in x-ray images

EED Hemdan, MA Shouman, ME Karar - arXiv preprint arXiv:2003.11055, 2020 - arxiv.org
Background and Purpose: Coronaviruses (CoV) are perilous viruses that may cause Severe
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

H Nasiri, S Hasani - Radiography, 2022 - Elsevier
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 …

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 …

A simple and accurate method for computer-aided transapical aortic valve replacement

ME Karar, DR Merk, V Falk, O Burgert - Computerized Medical Imaging and …, 2016 - Elsevier
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 …

Image-guidance for transcatheter aortic valve implantation (TAVI) and cerebral embolic protection

I Vernikouskaya, W Rottbauer, B Gonska… - International journal of …, 2017 - Elsevier
The study was aimed at evaluation of the feasibility and potential benefit of image fusion (IF)
of pre-procedural CT angiography (CTA) and x-ray (XR) fluoroscopy for image-guided …

Image-guided transapical aortic valve implantation sensorless tracking of stenotic valve landmarks in live fluoroscopic images

DR Merk, ME Karar, C Chalopin, D Holzhey… - …, 2011 - journals.sagepub.com
Objective Aortic valve stenosis is one of the most frequently acquired valvular heart
diseases, accounting for almost 70% of valvular cardiac surgery. Transapical transcatheter …

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 …

A novel model for detection and classification coronavirus (COVID-19) based on Chest X-Ray images using CNN-CapsNet

D Yousra, AB Abdelhakim, BA Mohamed - Sustainable Smart Cities and …, 2022 - Springer
Abstract The coronavirus disease 2019 (COVID-19) first emerged in Wuhan China, and
spread across the globe with unprecedented effect. It has became a major healthcare …

Deep learning-based feature extraction coupled with multi class SVM for COVID-19 detection in the IoT era

MA Saleh, S Serte, F Al-Turjman… - International …, 2023 - inderscienceonline.com
The deadly coronavirus virus (COVID-19) was confirmed as a pandemic by the World Health
Organisation (WHO) in December 2019. Prompt and early identification of suspected …

A new intelligent system for performance enhancement of dual-sensor cardiac pacemakers using iterative learning control

ME Karar, O Reyad, HI Shehata… - 2020 6th Conference …, 2020 - ieeexplore.ieee.org
Iterative Learning Control (ILC) is a recent technique for systems with iterative or repetitive
tasks, which are programmed to learn from the observed error to control the input signal at …