PREDICTING EFFECTIVENESS OF COUNTERMEASURES DURING THE COVID-19 OUTBREAK IN SOUTH AFRICA USING AGENT-BASED SIMULATION

Predicting effectiveness of countermeasures during the COVID-19 outbreak in South Africa using agent-based simulation

Abstract COVID-19 has spread rapidly around the globe.While there has been a slow down of the spread in some countries, e.g., in China, the African continent is still at the beginning of a potentially wide spread of the virus.Owing to its economic strength and imbalances, South Africa is of particular relevance with regard to the drastic measures t

read more

Hierarchically Structured Network With Attention Convolution and Embedding Propagation for Imbalanced Few-Shot Learning

Generally, a here few-shot distribution shift will lead to a poor generalization.Furthermore, while the number of instances of each class in the real world may significantly different, the existing few-shot classification methods are based on the assumption that the number of samples in each class is equal, which causes the trained classifier inval

read more