Impact of COVID-19 on IoT adoption in healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT
COVID-19 has disrupted normal life and has enforced a substantial change in the policies,
priorities and activities of individuals, organisations and governments. These changes are …
priorities and activities of individuals, organisations and governments. These changes are …
The role of artificial intelligence in fighting the COVID-19 pandemic
The first few months of 2020 have profoundly changed the way we live our lives and carry
out our daily activities. Although the widespread use of futuristic robotaxis and self-driving …
out our daily activities. Although the widespread use of futuristic robotaxis and self-driving …
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 …
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients
In this article, we discuss the development of prognostic machine learning (ML) models for
COVID-19 progression, by focusing on the task of predicting ICU admission within (any of) …
COVID-19 progression, by focusing on the task of predicting ICU admission within (any of) …
Applications of dynamic feature selection and clustering methods to medical diagnosis
MM Ershadi, A Seifi - Applied Soft Computing, 2022 - Elsevier
Abstract Machine learning methods are commonly used for disease and cancer diagnosis.
The model performance can be improved via feature selection, feature reduction, and …
The model performance can be improved via feature selection, feature reduction, and …
Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: a case study in the …
In 2020, Brazil was the leading country in COVID-19 cases in Latin America, and capital
cities were the most severely affected by the outbreak. Climates vary in Brazil due to the …
cities were the most severely affected by the outbreak. Climates vary in Brazil due to the …
An evolutionary-based sentiment analysis approach for enhancing government decisions during COVID-19 pandemic: The case of jordan
The world has witnessed recently a global outbreak of coronavirus disease (COVID-19).
This pandemic has affected many countries and has resulted in worldwide health concerns …
This pandemic has affected many countries and has resulted in worldwide health concerns …
Using alignment-free and pattern mining methods for SARS-CoV-2 genome analysis
Examining the genome sequences of the SARS-CoV-2 virus, that causes the respiratory
disease known as coronavirus disease 2019 (COVID-19), play important role in the proper …
disease known as coronavirus disease 2019 (COVID-19), play important role in the proper …
Prediction of ICU admission for COVID-19 patients: a machine learning approach based on complete blood count data
In this article we discuss the development of prognostic Machine Learning (ML) models for
COVID-19 progression: specifically, we address the task of predicting intensive care unit …
COVID-19 progression: specifically, we address the task of predicting intensive care unit …
Emerging technologies for COVID (ET-CoV) detection and diagnosis: Recent advancements, applications, challenges, and future perspectives
In light of the constantly changing terrain of the COVID outbreak, medical specialists have
implemented proactive schemes for vaccine production. Despite the remarkable COVID-19 …
implemented proactive schemes for vaccine production. Despite the remarkable COVID-19 …