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A novel generative AI framework can predict the need for red blood cell transfusion and mortality risk in ICU patients with ...
Moreover, due to the irregular and sequential characteristics, the SInfo algorithm is challenging to parallelize. In this article, we propose a hybrid sparse data structure and design a low-memory ...
we propose an improved genetic algorithm-based test-case generation approach for smart contract data flow testing. Our approach introduces the theory of particle swarm optimization into the genetic ...
Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...