Integrating scientific knowledge with machine learning for engineering and environmental systems
There is a growing consensus that solutions to complex science and engineering problems
require novel methodologies that are able to integrate traditional physics-based modeling …
require novel methodologies that are able to integrate traditional physics-based modeling …
Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
[PDF][PDF] Integrating physics-based modeling with machine learning: A survey
There is a growing consensus that solutions to complex science and engineering problems
require novel methodologies that are able to integrate traditional physics-based modeling …
require novel methodologies that are able to integrate traditional physics-based modeling …
ARIMA-based forecasting of the dynamics of confirmed Covid-19 cases for selected European countries
T Kufel - Equilibrium. Quarterly Journal of Economics and …, 2020 - ceeol.com
Research background: On 11 March 2020, the Covid-19 epidemic was identified by the
World Health Organization (WHO) as a global pandemic. The rapid increase in the scale of …
World Health Organization (WHO) as a global pandemic. The rapid increase in the scale of …
Scenario analysis of COVID-19 transmission dynamics in Malaysia with the possibility of reinfection and limited medical resources scenarios
COVID-19 is a major health threat across the globe, which causes severe acute respiratory
syndrome (SARS), and it is highly contagious with significant mortality. In this study, we …
syndrome (SARS), and it is highly contagious with significant mortality. In this study, we …
Building resilience against COVID-19 pandemic using artificial intelligence, machine learning, and IoT: A survey of recent progress
Coronavirus disease 2019 (COVID-19) has significantly impacted the entire world today and
stalled off regular human activities in such an unprecedented way that it will have an …
stalled off regular human activities in such an unprecedented way that it will have an …
Machine learning and physics: A survey of integrated models
A Seyyedi, M Bohlouli, SN Oskoee - ACM Computing Surveys, 2023 - dl.acm.org
Predictive modeling of various systems around the world is extremely essential from the
physics and engineering perspectives. The recognition of different systems and the capacity …
physics and engineering perspectives. The recognition of different systems and the capacity …
Identification and prediction of time-varying parameters of COVID-19 model: a data-driven deep learning approach
Data-driven deep learning provides efficient algorithms for parameter identification of
epidemiology models. Unlike the constant parameters, the complexity of identifying time …
epidemiology models. Unlike the constant parameters, the complexity of identifying time …
[HTML][HTML] Projecting the criticality of COVID-19 transmission in India using GIS and machine learning methods
There is a new public health catastrophe forbidding the world. With the advent and spread of
2019 novel coronavirus (2019-nCoV). Learning from the experiences of various countries …
2019 novel coronavirus (2019-nCoV). Learning from the experiences of various countries …
Local mortality estimates during the COVID-19 pandemic in Italy
Estimates of the real death toll of the COVID-19 pandemic have proven to be problematic in
many countries, Italy being no exception. Mortality estimates at the local level are even more …
many countries, Italy being no exception. Mortality estimates at the local level are even more …