Current state-of-the-art Brain-Machine Interfaces (BMIs) rely on invasive “passive” microelectrode technologies, which are prohibitively challenging to scale beyond several hundred channels due to ...

In this work, we present material screening and machine learning modeling to accelerate the discovery of promising photocatalytic and photovoltaic candidates in Janus III–VI vdW heterostructures. A ...

For improve classification accuracy, this paper discusses the problem of feature selection for high-dimensional data and SVM parameter optimization. An SVM classification system based on simulated ...