Review on the evaluation and development of artificial intelligence for COVID-19 containment
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …
substantiated promise of continuous applicability in the real world domain. Artificial …
A survey of machine learning-based methods for COVID-19 medical image analysis
K Sailunaz, T Özyer, J Rokne, R Alhajj - Medical & Biological Engineering …, 2023 - Springer
The ongoing COVID-19 pandemic caused by the SARS-CoV-2 virus has already resulted in
6.6 million deaths with more than 637 million people infected after only 30 months since the …
6.6 million deaths with more than 637 million people infected after only 30 months since the …
Forecasting major impacts of COVID-19 pandemic on country-driven sectors: challenges, lessons, and future roadmap
The pandemic caused by the coronavirus disease 2019 (COVID-19) has produced a global
health calamity that has a profound impact on the way of perceiving the world and everyday …
health calamity that has a profound impact on the way of perceiving the world and everyday …
A hybrid deep learning model to predict the impact of COVID-19 on mental health from social media big data
The novel coronavirus disease (COVID-19) pandemic is provoking a prevalent
consequence on mental health because of less interaction among people, economic …
consequence on mental health because of less interaction among people, economic …
Hybrid learning-oriented approaches for predicting Covid-19 time series data: A comparative analytical study
Using medical science alongside time series data analysis can be given a strong tool to
develop efficient decision support systems in Corona pandemic. In this regard, many hybrid …
develop efficient decision support systems in Corona pandemic. In this regard, many hybrid …
Understanding the intent behind sharing misinformation on social media
Several studies have been conducted in annotating and collecting the misinformation
spread on various social media sites. The misinformation spread during COVID-19 …
spread on various social media sites. The misinformation spread during COVID-19 …
COVID-19 classification using CNN-BiLSTM based on chest X-ray images
Cases of the COVID-19 virus continue to spread still needs to be considered even though
we have entered the post-pandemic era. Rapid identification of COVID-19 cases is …
we have entered the post-pandemic era. Rapid identification of COVID-19 cases is …
[图书][B] Computational statistical methodologies and modeling for artificial intelligence
This book covers computational statistics-based approaches for Artificial Intelligence. The
aim of this book is to provide comprehensive coverage of the fundamentals through the …
aim of this book is to provide comprehensive coverage of the fundamentals through the …
[PDF][PDF] Self-aware COVID-19 AI approach (SIntL-CoV19) by integrating infected scans with internal behavioral analysis
V Kakulapati, A Jayanthiladevi - International Journal on Recent …, 2023 - researchgate.net
In the Artificial intelligence (AI) field, intelligent social awareness is a quantifiable analysis
that interacts with humans socially with other infected or non-infected COVID-19 (CoV19) …
that interacts with humans socially with other infected or non-infected COVID-19 (CoV19) …
Automatic detection of coronavirus disease (COVID-19) in X-ray images using transfer learning
H Huang, L Ma - Journal of Intelligent & Fuzzy Systems, 2023 - content.iospress.com
In late 2019, coronavirus disease (COVID-19) began to spread globally and is highly
contagious. Due to its exceptionally rapid spread and high mortality rate, it is not yet possible …
contagious. Due to its exceptionally rapid spread and high mortality rate, it is not yet possible …