Aspens and standing dead trees, which are important to forest biodiversity, can be reliably identified from openly available ...
From machine learning to voting, the workings of the world demand randomisation, but true sources of randomness are ...
Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.
AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...
Abstract: Research and development of highly accurate falling detection systems (FDSs) for individuals with medical conditions or the elderly are crucial for mitigating the risks associated with falls ...
Abstract: Random Forest is an efficient machine learning classification algorithm known for its high accuracy and interpretability. However, the traditional voting mechanism in the standard Random ...
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