… In this paper, an analytical model of the ZigBee standard wireless network for remote
monitoring systems is based on the Markov chain apparatus and network loads and possible …

… A Markov chain–based IoT system is developed in this study to monitor, analyze, and … are
compared with those predicted using discrete time Markov chain (DTMC) models. Average …

… To predict the future land use changes, the CA-Markov model was used. The results of
the prediction accuracy investigation using the Markov chain model are presented in Table 4, …

… Retrospective analysis in a Markov chain model of … the time-homogeneous Markov chain,
and methodically provided … hence the position of the monitoring period in the complete course …

… Medical applications involve monitoring a large number of patients … a Markov Chain model
in WBSN (MC-WBSN) for improving the efficiency and reliability of patients’ remote monitoring …

… In this paper, two monitoring mechanisms have been developed: the first is based on a …
Time Markov Chain (CTMC) model and the second is based on a Discrete Time Markov Chain (…

… , combined with smart monitoring sensor systems and … -Markov Chain approach that is based
on smart monitoring … to demonstrate the Semi-Markov Chain approach on an offshore wind …

… a Markov chain consisting of samples with the target distribution, ð Þ, through a user-dened
proposal function, qð Þ. In the parameter space , the starting vector of the Markov chain is …

… We present a method based on a hidden Markov model for monitoring such time series.
The … on the state of an underlying Markov chain. The parameter vector includes distribution …

… We start by reviewing the basics of Markov chains, which are the primary motion models for
… the treatment are the hitting times of Markov chains, their distributions, and their expectations…