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Found 6 papers, 1 papers with code
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition
In comparison with statistical, machine learning, and deep learning methods, our proposed XEWNet performs better in 75% of the cases for short-term and long-term forecasting of dengue incidence.
Traffic event description based on Twitter data using Unsupervised Learning Methods for Indian road conditions
Non-recurrent and unpredictable traffic events directly influence road traffic conditions.
A mechanistic model for airborne and direct human-to-human transmission of COVID-19: Effect of mitigation strategies and immigration of infectious persons
The COVID-19 pandemic is the most significant global crisis since World War II that affected almost all the countries of our planet.
Metapopulation dynamics of a respiratory disease with infection during travel
Further numerical simulations reveal that infection during travel has the potential to change the stability of disease-free equilibrium from stable to unstable.
Statistical optimality and stability of tangent transform algorithms in logit models
We demonstrate that these assumptions can be completely relaxed if one considers a slight variation of the algorithm by raising the likelihood to a fractional power.
Within host dynamics of SARS-CoV-2 in humans: Modeling immune responses and antiviral treatments
Vaccination is also found useful but during the vaccine development phase, blocking virus production from infected cells can be targeted for antiviral drug development.
