Social physics
Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …
phenomena. This development has been due to physicists venturing outside of their …
Map** the landscape of artificial intelligence applications against COVID-19
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by
the World Health Organization, which has reported over 18 million confirmed cases as of …
the World Health Organization, which has reported over 18 million confirmed cases as of …
Deep transformer models for time series forecasting: The influenza prevalence case
In this paper, we present a new approach to time series forecasting. Time series data are
prevalent in many scientific and engineering disciplines. Time series forecasting is a crucial …
prevalent in many scientific and engineering disciplines. Time series forecasting is a crucial …
[HTML][HTML] Predicting COVID-19 incidence through analysis of google trends data in Iran: data mining and deep learning pilot study
Background: The recent global outbreak of coronavirus disease (COVID-19) is affecting
many countries worldwide. Iran is one of the top 10 most affected countries. Search engines …
many countries worldwide. Iran is one of the top 10 most affected countries. Search engines …
Smartphone apps in the COVID-19 pandemic
At the beginning of the COVID-19 pandemic, analog tools such as nasopharyngeal swabs
for PCR tests were center stage and the major prevention tactics of masking and physical …
for PCR tests were center stage and the major prevention tactics of masking and physical …
The impacts of ocean acidification on marine ecosystems and reliant human communities
Racism. Sexism. Heterosexism. Gender binarism. Together, they comprise intimately
harmful, distinct, and entangled societal systems of self-serving domination and privilege …
harmful, distinct, and entangled societal systems of self-serving domination and privilege …
[HTML][HTML] Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study
Background Acute infections can cause an individual to have an elevated resting heart rate
(RHR) and change their routine daily activities due to the physiological response to the …
(RHR) and change their routine daily activities due to the physiological response to the …
[HTML][HTML] Social media-and internet-based disease surveillance for public health
Disease surveillance systems are a cornerstone of public health tracking and prevention.
This review addresses the use, promise, perils, and ethics of social media and internet …
This review addresses the use, promise, perils, and ethics of social media and internet …
[HTML][HTML] Assessing the methods, tools, and statistical approaches in Google Trends research: systematic review
Background In the era of information overload, are big data analytics the answer to access
and better manage available knowledge? Over the last decade, the use of Web-based data …
and better manage available knowledge? Over the last decade, the use of Web-based data …
Advances and opportunities in machine learning for process data analytics
In this paper we introduce the current thrust of development in machine learning and
artificial intelligence, fueled by advances in statistical learning theory over the last 20 years …
artificial intelligence, fueled by advances in statistical learning theory over the last 20 years …