We propose a coarse-grained theoretical model to capture the aging of microfluidic devices under different conditions including constant applied flow rate and pressure gradient. Microfluidic that sort cells by their deformability hold significant promise for medical applications. However, clogging in these systems causes properties change over time potentially limits reliability. compare result...

Time series is a huge quantity of data related to time sequence in real life and its forecast remains challenging. In this study, we propose deep learning model enhance the precision forecast, called MSRN-Informer (Multi-scale Residual Network Improved Informer) model. This can reduce waste significant resources overfitting caused by increasing depth network traditional improvement methods. A m...

Accurate detection of sea-surface objects is vital for the safe navigation autonomous ships. With continuous development artificial intelligence, electro-optical (EO) sensors such as video cameras are used to supplement marine radar improve that produce weak signals and small sizes. In this study, we propose an enhanced convolutional neural network (CNN) named VarifocalNet * improves object in ...