Although the effectiveness of machine learning (ML) for machine diagnosis has been widely
established, the interpretation of the diagnosis outcomes is still an open issue. Machine …

The continued spread of COVID-19 seriously endangers the physical and mental health of
people in all countries. It is an important method to establish inter agency COVID-19 …

By applying AI techniques to a variety of pandemic-relevant data, artificial intelligence (AI)
has substantially supported the control of the spread of the SARS-CoV-2 virus. Along with …

As the world emerges from the COVID-19 pandemic, there is an urgent need to understand
patient factors that may be used to predict the occurrence of severe cases and patient …

Visualization is integral to uncovering hidden information in data and providing users with
intuitive feedback for decision-making. Data visualization is crucial for transforming complex …

COVID-19 pandemic has raised concerns for a number of strategical social interactions.
From quarantines and social distancing to vaccination and geopolitics, the cooperation or …

The design parameters are the most momentous factors in carrying out performance
matching. For complex electromechanical products with a large number of design …

Аннотация Введение. В рамках теории о саморегуляции паразитарных систем
природно-социальные факторы рассматриваются не только как необходимое условие …

Introduction. Within the theory on self-regulation of parasitic systems, natural and social
factors are considered not only the necessary condition for interaction between an infectious …

Coronaviruses cause infections in various species, including mammals, birds, and humans.
Their zoonotic potential has surfaced with the occurrences of severe acute respiratory …