Results 281 to 290 of about 23,984,619 (356)
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Mechanical systems and signal processing, 2021
This work investigates the asynchronous fault detection filtering issue for discrete-time piecewise homogeneous Markov jump systems. By resorting to a dual hidden Markov model, an asynchronous fault detection filter is presented which can follow up the ...
P. Cheng +3 more
semanticscholar +1 more source
This work investigates the asynchronous fault detection filtering issue for discrete-time piecewise homogeneous Markov jump systems. By resorting to a dual hidden Markov model, an asynchronous fault detection filter is presented which can follow up the ...
P. Cheng +3 more
semanticscholar +1 more source
, 2020
We present in this paper a combined technique of long short-term memory and hidden Markov model to prediction problems of crack propagation in engineering.
D. H. Nguyen-Le +4 more
semanticscholar +1 more source
We present in this paper a combined technique of long short-term memory and hidden Markov model to prediction problems of crack propagation in engineering.
D. H. Nguyen-Le +4 more
semanticscholar +1 more source
Markov models — hidden Markov models
Nature Methods, 2019“Everything we see hides another thing, we always want to see what is hidden by what we see” — Rene ...
Jasleen K. Grewal +2 more
openaire +1 more source
IEEE Transactions on Cybernetics, 2019
This paper addresses the dissipative asynchronous filtering problem for a class of Takagi–Sugeno fuzzy Markov jump systems in the continuous-time domain.
Shanling Dong +4 more
semanticscholar +1 more source
This paper addresses the dissipative asynchronous filtering problem for a class of Takagi–Sugeno fuzzy Markov jump systems in the continuous-time domain.
Shanling Dong +4 more
semanticscholar +1 more source
Nature Methods, 2019
You can look back there to explain things, but the explanation disappears. You’ll never find it there. Things are not explained by the past. They’re explained by what happens now.
Jasleen K. Grewal +2 more
openaire +1 more source
You can look back there to explain things, but the explanation disappears. You’ll never find it there. Things are not explained by the past. They’re explained by what happens now.
Jasleen K. Grewal +2 more
openaire +1 more source
Reliability assessment of wind turbine bearing based on the degradation-Hidden-Markov model
Renewable Energy, 2019Wind power develops very quickly in last decade to overcome the energy crisis and environment crisis. Mechanical components of wind turbines usually have characteristic with performance degradation that results in the declining reliability over time ...
Jianlan Li +3 more
semanticscholar +1 more source
A Hierarchical Hidden Markov Model Framework for Home Appliance Modeling
IEEE Transactions on Smart Grid, 2018Correctly anticipating load characteristics of low voltage level is getting increased interest by distribution network operators. Energy disaggregation could be one of the potential approaches to exploit the massive amount of smart meter data to fulfill ...
Weicong Kong +5 more
semanticscholar +1 more source
2014
This section reviews the relation between the continuous dynamics of a molecular system in thermal equilibrium and the kinetics given by a Markov State Model (MSM). We will introduce the dynamical propagator, an error-less, alternative description of the continuous dynamics, and show how MSMs result from its discretization.
Marco, Sarich +2 more
openaire +2 more sources
This section reviews the relation between the continuous dynamics of a molecular system in thermal equilibrium and the kinetics given by a Markov State Model (MSM). We will introduce the dynamical propagator, an error-less, alternative description of the continuous dynamics, and show how MSMs result from its discretization.
Marco, Sarich +2 more
openaire +2 more sources