Application of Machine Learning to Predict COVID-19 Spread via an Optimized BPSO Model
EH Alkhammash, SA Assiri, DM Nemenqani… - Biomimetics, 2023 - mdpi.com
During the pandemic of the coronavirus disease (COVID-19), statistics showed that the
number of affected cases differed from one country to another and also from one city to …
number of affected cases differed from one country to another and also from one city to …
An AI healthcare ecosystem framework for Covid-19 detection and forecasting using CronaSona
SAZ Hassan - Medical & Biological Engineering & Computing, 2024 - Springer
The primary purpose of this paper is to establish a healthcare ecosystem framework for
COVID-19, CronaSona. Unlike some studies that focus solely on detection or forecasting …
COVID-19, CronaSona. Unlike some studies that focus solely on detection or forecasting …
Optimizing HCV Disease Prediction in Egypt: The hyOPTGB Framework
The paper focuses on the hepatitis C virus (HCV) infection in Egypt, which has one of the
highest rates of HCV in the world. The high prevalence is linked to several factors, including …
highest rates of HCV in the world. The high prevalence is linked to several factors, including …
An Optimized Architecture for COVID‑19 Prediction Using Chest X‑Ray Images
In modern times, a disease known as COVID-19 that is highly contagious is continuing to
have a profoundly negative influence on the people of the entire world. The fundamental …
have a profoundly negative influence on the people of the entire world. The fundamental …
A Deep Features-Based Approach Using Modified ResNet50 and Gradient Boosting for Visual Sentiments Classification
The versatile nature of Visual Sentiment Analysis (VSA) is one reason for its rising profile. It
isn't easy to efficiently manage social media data with visual information since previous …
isn't easy to efficiently manage social media data with visual information since previous …