Conventional microwave imagers usually require either time-consuming data acquisition, or
complicated reconstruction algorithms for data post-processing, making them largely …

There is an increasing need to remotely monitor people in daily life using radio-frequency
probe signals. However, conventional systems can hardly be deployed in real-world settings …

Controlling electromagnetic waves and information simultaneously by information metasurfaces
is of central importance in modern society. Intelligent metasurfaces are smart platforms …

Data assimilation (DA) and uncertainty quantification (UQ) are extensively used in analysing
and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical …

This meta-analysis examined the efficacy of different dosing regimens containing rituximab (RTX)
in treating pemphigus. The analysis included 578 patients with pemphigus from 30 …

The development of artificial intelligence is typically focused on computer algorithms and
integrated circuits. Recently, all-optical diffractive deep neural networks have been created that …

S-TaLiRo is a Matlab (TM) toolbox that searches for trajectories of minimal robustness in
Simulink/Stateflow diagrams. It can analyze arbitrary Simulink models or user defined functions …

Vision based fire detection is potentially a useful technique. With the increase in the number
of surveillance cameras being installed, a vision based fire detection capability can be …

Nonlinear electromagnetic (EM) inverse scattering is a quantitative and super-resolution
imaging technique, in which more realistic interactions between the internal structure of scene …

While metal is the most common conducting constituent element in the fabrication of
metamaterials, graphene provides another useful building block, that is, a truly two-dimensional …