[HTML][HTML] Machine learning applications for COVID-19 outbreak management
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …
practically every area of human life. Several machine learning (ML) approaches are …
[HTML][HTML] What Drives People's Willingness to Adopt Autonomous Vehicles? A Review of Internal and External Factors
This article presents a state-of-the-art literature review to understand people's perceptions
and opinions of Autonomous Vehicles and the factors that influence their adoption. A …
and opinions of Autonomous Vehicles and the factors that influence their adoption. A …
Artificial neural network-based estimation of COVID-19 case numbers and effective reproduction rate using wastewater-based epidemiology
As a cost-effective and objective population-wide surveillance tool, wastewater-based
epidemiology (WBE) has been widely implemented worldwide to monitor the severe acute …
epidemiology (WBE) has been widely implemented worldwide to monitor the severe acute …
COVID-19 health data analysis and personal data preserving: A homomorphic privacy enforcement approach
COVID-19 data analysis and prediction from patient data repository collected from hospitals
and health organizations. Users' credentials and personal information are at risk; it could be …
and health organizations. Users' credentials and personal information are at risk; it could be …
[HTML][HTML] Spatio-temporal prediction of the COVID-19 pandemic in US counties: modeling with a deep LSTM neural network
Prediction of complex epidemiological systems such as COVID-19 is challenging on many
grounds. Commonly used compartmental models struggle to handle an epidemiological …
grounds. Commonly used compartmental models struggle to handle an epidemiological …
[HTML][HTML] Machine learning and lean six sigma to assess how COVID-19 has changed the patient management of the complex operative unit of neurology and stroke …
G Improta, A Borrelli, M Triassi - International Journal of Environmental …, 2022 - mdpi.com
Background: In health, it is important to promote the effectiveness, efficiency and adequacy
of the services provided; these concepts become even more important in the era of the …
of the services provided; these concepts become even more important in the era of the …
[HTML][HTML] Associations between COVID-19 pandemic, lockdown measures and human mobility: longitudinal evidence from 86 countries
Recognizing an urgent need to understand the dynamics of the pandemic's severity, this
longitudinal study is conducted to explore the evolution of complex relationships between …
longitudinal study is conducted to explore the evolution of complex relationships between …
Non-linear associations between the urban built environment and commuting modal split: A random forest approach and SHAP evaluation
The study of commuting mode choice is crucial since driving, with all its associated
environmental and economic consequences, is the United States' most popular mode of …
environmental and economic consequences, is the United States' most popular mode of …
[HTML][HTML] Public perceptions of COVID-19 vaccines: Policy implications from US spatiotemporal sentiment analytics
There is a compelling and pressing need to better understand the temporal dynamics of
public sentiment towards COVID-19 vaccines in the US on a national and state-wise level for …
public sentiment towards COVID-19 vaccines in the US on a national and state-wise level for …
[HTML][HTML] A sustainable trend in COVID-19 research: An environmental perspective
Coronavirus disease 2019 (COVID-19) has spread across the globe producing hundreds of
thousands of deaths, shutting down economies, closing borders and causing havoc on an …
thousands of deaths, shutting down economies, closing borders and causing havoc on an …