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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 ...
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 ...
A Markov chain approach to model reconstruction
(Wit Press, 2020)
Inverse M-matrix, a new characterization
(Elsevier, 2020)
In this article we present a new characterization of inverse M-matrices, inverse row diagonally dominant M-matrices and inverse row and column diagonally dominant M-matrices, based on the positivity of certain inner products.
On exponential convergence of generic quantum Markov semigroups in a Wasserstein-type distance
(Publicaciones académicas Ltd., 2016)
We investigate about exponential convergence for generic quantum Markov semigroups using an generalization of the Lipschitz seminorm and a noncommutative analogue of Wasserstein distance. We show turns out to be closely ...
Proyección de cifras de producción de café colombiano utilizando cadenas de MarkovFinancial projections of Colombian coffee production using markov chain
(Corporación Universidad de la Costa, 2018)
Particle-filtering-based prognostics for the state of maximum power available in lithium-ion batteries at electromobility applications
((IEEE) Institute of Electrical and Electronics Engineers, 2020)
Nowadays, electric vehicles such as cars and bicycles are increasing their popularity due to the rising environmental consciousness. The autonomy required by these means of transport has marked a significant and steady ...
Particle-Filtering-Based Discharge Time Prognosis for Lithium-Ion Batteries With a Statistical Characterization of Use Profiles
(IEEE, 2015)
We present the implementation of a particle-filteringbased
prognostic framework that utilizes statistical characterization
of use profiles to (i) estimate the state-of-charge (SOC), and (ii)
predict the discharge time ...
Markov processes in modeling land use and land cover changes in sintra-cascais, portugal
(Universidad Nacional de Colombia Sede Medellín, 2009)
In this article the process of land use and land cover change (LUCC) is investigated using remote sensing and Markov chains for the municipalities of Sintra and Cascais (Portugal) between years 1989 and 2000. The role of ...