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Automatic detection of volcano-seismic events by modeling state and event duration in hidden Markov models
(Elsevier, 2016)
In this paper we propose an automatic volcano event detection system based on Hidden Markov Model (HMM) with state and event duration models. Since different volcanic events have different durations, therefore the state ...
Evaluating crusher system location in an open pit mine using Markov chains
(Taylor and Francis, 2017)
A methodology is presented for deciding the location of a third ore crusher to be installed at Chile’s Chuquicamata copper mine. The proposed approach determines which location alternative exhibits the minimum capital and ...
Critical Analysis of Markov Models Used for the Economic Evaluation of Colorectal Cancer Screening: A Systematic Review
(Elsevier Ltd, 2018)
Background: The economic evaluation of colorectal cancer screening is challenging because of the need to model the underlying
unobservable natural history of the disease. Objectives: To describe
the available Markov ...
Consumption modeling based on Markov chains and Bayesian networks for a demand side management design of isolated microgrids
(Wiley, 2017)
This paper proposes a novel simulator of energy consumption patterns that allows designing demand side management(DSM) strategies without economic incentives. The simulator emulates consumers’patterns with and without ...
Long time behavior of telegraph processes under convex potentials
(2016)
We study the long-time behavior of variants of the telegraph process with position-dependent jump rates, which result in a monotone gradient-like drift towards the origin. We compute their invariant laws and obtain, via ...
Estimation of expected number of accidents and workforce unavailability through Bayesian population variability analysis and Markov-based model
(Elsevier, 2016)
Occupational accidents pose several negative consequences to employees, employers, environment and people surrounding the locale where the accident takes place. Some types of accidents correspond to low frequency-high ...
A Markov chain approach to model reconstruction
(Wit Press, 2020)
Modelling the management of fragmented forests: Is it possible to recover the original tree composition?. The case of the Maulino forest in Central Chile
(2008)
In the fragmented Maulino forest (in Central Chile), differences in the relative frequencies of species between seedlings and mature trees are strong indicators of a changing replacement dynamics in the community. Stationary ...
Energy-Efficiency Oriented Traffic Offloading in Wireless Networks: A Brief Survey and a Learning Approach for Heterogeneous Cellular Networks
(IEEE, 2015)
This paper first provides a brief survey on existing traffic offloading techniques in wireless networks. Particularly as a case study, we put forward an online reinforcement learning framework for the problem of traffic ...