Abstract Human Activity Recognition (HAR), based on sensor devices and the Internet of
Things (IoT), attracted many researchers since it has diversified applications in health …

Nowadays, the stock market has attracted more and more people's attention with its high risk
and high returns, and forecasting method of stock price also emerge in an endless stream …

In this paper we investigate and characterize user activity in WiFi networks by analyzing and
comparing the behavior of users that connect to two public WiFi networks, one of them …

Efficient energy and temperature management techniques are essential elements for
operators of cloud data centers. Dynamic virtual machine (VM) consolidation using live …

The ubiquitous deployment of Fourth-generation (4G) and Fifth-generation (5G) networks,
while expanding user connectivity over a larger geographic area, presents significant …

Wireless sensor based routing is a challenging issue in the context of convergecast routing.
In order to counter these issues the relay nodes share the burden of forwarding in multi-hop …

For the problems of the low usability of the lexicon constructed by traditional new word
discovery methods and the erroneous new word segmentation results that only consider the …

In the traditional Markov chain model (MCM), aleatory uncertainty because of inherent
randomness and epistemic uncertainty due to the lack of knowledge are not differentiated …

Stochastic processes are approved presentation of real systems which its development in
space or time can be supposed as random. A semi-hidden Markov model as a type of …

Human activity recognition is a technology that offers automatic recognition of what a person
is doing with respect to body motion and function. The main goal is to recognize a person's …