Advanced meta-heuristics, convolutional neural networks, and feature selectors for efficient COVID-19 X-ray chest image classification

ESM El-Kenawy, S Mirjalili, A Ibrahim… - Ieee …, 2021 - ieeexplore.ieee.org
The chest X-ray is considered a significant clinical utility for basic examination and
diagnosis. The human lung area can be affected by various infections, such as bacteria and …

[HTML][HTML] Predictive models for COVID-19 detection using routine blood tests and machine learning

YV Kistenev, DA Vrazhnov, EE Shnaider, H Zuhayri - Heliyon, 2022 - cell.com
The problem of accurate, fast, and inexpensive COVID-19 tests has been urgent till now.
Standard COVID-19 tests need high-cost reagents and specialized laboratories with high …

[PDF][PDF] Dynamic voting classifier for risk identification in supply chain 4.0.

AA Salamai, ESM El-kenawy… - Computers, Materials & …, 2021 - cdn.techscience.cn
Supply chain 4.0 refers to the fourth industrial revolution's supply chain management
systems, which integrate the supply chain's manufacturing operations, information …

[PDF][PDF] Watermarking System for Medical Images Using Optimization Algorithm

M Saber, ESM El-Kenawy, A Ibrahim… - Fusion: Practice & …, 2023 - researchgate.net
One of the main methods used to provide security for medical records when exchanging
these records through open networks is digital watermarking. In order to preserve the …

A binary sine cosine-modified whale optimization algorithm for feature selection

MM Eid, ESM El-kenawy… - 2021 National Computing …, 2021 - ieeexplore.ieee.org
The increase of many pillars within the dataset makes it needed to pick the best part of
features. The feature selection approach directly influences the performance of the style in …

[PDF][PDF] Ensemble of Machine Learning Fusion Models for Breast Cancer Detection Based on the Regression Model.

HA Alsayadi, AA Abdelhamid… - Fusion: Practice & …, 2022 - researchgate.net
Breast cancer is one of the deadliest cancers among women worldwide and one of the main
causes of mortality for women in the United States. Breast cancer can be detected earlier …

[PDF][PDF] Forecasting e-commerce adoption based on bidirectional recurrent neural networks

AA Salamai, AA Ageeli… - Computers, Materials & …, 2022 - cdn.techscience.cn
E-commerce refers to a system that allows individuals to purchase and sell things online.
The primary goal of e-commerce is to offer customers the convenience of not going to a …

[PDF][PDF] Metaheuristic Optimization Through Deep Learning Classification of COVID-19 in Chest X-Ray Images.

NA Samee, ESM El-Kenawy, G Atteia… - … , Materials & Continua, 2022 - researchgate.net
As corona virus disease (COVID-19) is still an ongoing global outbreak, countries around
the world continue to take precautions and measures to control the spread of the pandemic …

[PDF][PDF] Optimize machine learning programming algorithms for sentiment analysis in social media

MS Alharbi, ESM El-Kenawy - International Journal of Computer …, 2021 - researchgate.net
Sentiment analysis (SA) is used to evaluate the polarity of reviews. In SA, the feature
selection phase is essential, as the best way to solve all optimization problems not happen …

[PDF][PDF] Design and Implementation of Demodulator and Carrier Phase Compensation System for Satellite Communication

PK Dutta, D Winters, N Behdad… - International Journal of …, 2022 - researchgate.net
A proposed design and FPGA implementation of a demodulator and phase compensation
system is presented. The system is simple, accurate, dissipate low power. Simulations …