Indoor localization has broad application prospects, but accurately obtaining the location of
test points (TPs) in narrow indoor spaces is a challenge. The weighted K-nearest neighbor …

This paper presents an improved fish migration optimization (FMO), which adopts novel
update equations of individuals and energy. A chieftain concept is introduced and it can attract …

Wireless sensor network (WSN) can effectively help us monitor the surrounding environment
and prevent the occurrence of some natural disasters earlier, but we can only get the …

The development of 5G brings convenience to people, but it also brings threats. It is particularly
important to analyze attack–defense confrontation from a macro perspective. Network …

Two new hybrid algorithms are proposed to improve the performances of the meta-heuristic
optimization algorithms, namely the Grey Wolf Optimizer (GWO) and Shuffled Frog Leaping …

In deployed wireless sensor networks (WSNs), how to efficiently transmit information collected
by sensor nodes with limited energy is a challenging problem. An appropriate cluster …

In this paper, a new intelligent computing algorithm named Enhanced Black Hole (EBH) is
proposed to which the mutation operation and weight factor are applied. In EBH, several elites …

The parameters of muscle ultrasound images reflect the function and state of muscles. They
are of great significance to the diagnosis of muscle diseases. Because manual labeling is …

Sensor technology is developing rapidly and up to date. The lifetime of the Wireless Sensor
Network (WSN) has also attracted many researchers, and the location of the Base Station (…

To aid in diagnosis and analysis, deep learning has been applied to medical image analysis
by many researchers. Most existing methods train models using many images with precise …