This paper presents an end-to-end deep learning framework using passive WiFi sensing to
classify and estimate human respiration activity. A passive radar test-bed is used with two …

This paper makes the first attempt to utilize convolutional neural network (CNN) for
classification of solar radio spectrums. The solar radio spectrum is a two-dimensional gray …

Artificial intelligence is unfamiliar to us. We often use artificial intelligence many times in our
daily life without knowing it: for example, we have recently scrolled through a website page …

Solar radio bursts can be used to study the properties of solar activities and the underlying
coronal conditions on the basis of the present understanding of their emission mechanisms …

This paper makes the first attempt to utilize long short-term memory (LSTM) for classification
of solar radio spectrum. A solar radio spectrum is a gray-scale image representing solar …

Solar radio bursts are an important part of the study of solar activity, and automatic
classification of solar radio spectrum can greatly improve the efficiency of solar activity …

Solar radio bursts are intense radio radiation sources that occur during the energy-release
process and represent a hot topic in solar-physics and space-weather research. In this …

Solar radio bursts are a kind of instantaneously enhanced radio waves from the Sun. The
high-intensity signals can seriously interfere with radio communication and navigation …

Recently, more and more high resolution, high precision telescopes have been developing
in the world, such as SKA [1], Arecibo [2], ALMA [2], Muser [4][5]. By aid of these modern …

The damage to communication facilities and navigation equipments may be caused by the
violent solar radio explosion. With the emergence of high-performance observation …