After being introduced by Shannon as a measure of disorder and unavailable information,
the notion of entropy has found its applications in a broad range of scientific disciplines. In …

Estimating mutual information from independent identically distributed samples drawn from
an unknown joint density function is a basic statistical problem of broad interest with …

In this article, we propose a method for emotion classification based on multilayer
convolutional neural network (MCNN) and combining differential entropy (DE) and brain …

A novel statistical model based on the higher-order statistics projection to the latent structure
(HPLS) is proposed, which uses a combination of higher-order statistics (mutual information …

In most developing countries, it has become a severe challenge for the limited medical
resources and outdated healthcare technology to meet the high demand of large population …

In this paper, we first present the symmetric property of the extropy of record values and
some characterisations of exponential distributions. Then a new test for symmetry of the …

Despite being a widely adopted development framework for unmanned aerial vehicle (UAV),
deep reinforcement learning is often considered sample inefficient. Particularly, UAV …

Abstract Takagi–Sugeno–Kang (TSK) fuzzy systems are well known for their good balance
between approximation accuracy and interpretability. Nowadays, multi-view TSK fuzzy …

We introduce a new nonlinear system identification technique, leveraging the benefits of the
Type-2 Evolutionary Takagi-Sugeno (T2-ETS) fuzzy system. The major advantage of our …

The huge amounts of network traffic generated by the ultra-high-definition video playback of
super-large-scale video users results in tremendous pressure for front-haul and back-haul in …