Results 11 to 20 of about 6,062,729 (295)
Prognostic Modelling with Dynamic Bayesian Networks [PDF]
, 2009 In this paper, we review the application of dynamic Bayesian networks to prognostic modelling. An example is provided for illustration. With this example, we show how the equipment’s reliability decays over time in the situation where repair is not ...
McNaught, Ken R., Zagorecki, A.
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Dynamic network prediction [PDF]
Network Science, 2020 AbstractWe present a statistical framework for generating predicted dynamic networks based on the observed evolution of social relationships in a population. The framework includes a novel and flexible procedure to sample dynamic networks given a probability distribution on evolving network properties; it permits the use of a broad class of approaches ...
Ravi Goyal, Victor De Gruttola
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Identification in dynamic networks [PDF]
Computers & Chemical Engineering, 2018 System identification is a common tool for estimating (linear) plant models as a basis for model-based predictive control and optimization. The current challenges in process industry, however, ask for data-driven modelling techniques that go beyond the single unit/plant models.
Paul M. J. Van den Hof +2 more
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Dynamics of information networks
Journal of Applied Probability, 2023 AbstractWe explore a simple model of network dynamics which has previously been applied to the study of information flow in the context of epidemic spreading. A random rooted network is constructed that evolves according to the following rule: at a constant rate, pairs of nodes (i, j) are randomly chosen to interact, with an edge drawn from i to j (and
Andrei Sontag +2 more
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Dynamical networks in function dynamics [PDF]
Physica D: Nonlinear Phenomena, 2003 29 pages, 10 ...
Kataoka, Naoto, Kaneko, Kunihiko
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Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019 Network data that changes over time can be very useful for studying a wide range of important phenomena, from how social network connections change to epidemiology. However, it is challenging to analyze, especially if it has many actors, connections or if the covered timespan is large with rapidly changing links (e.g., months of changes with changes at
Alexandra Lee +2 more
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Stability in flux: Community structure in dynamic networks [PDF]
, 2010 The structure of many biological, social and technological systems can usefully be described in terms of complex networks. Although often portrayed as fixed in time, such networks are inherently dynamic, as the edges that join nodes are cut and rewired ...
Funk, Sebastian +4 more
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A dynamic spectrum access scheme for cognitive radio networks [PDF]
, 2009 —In this paper, the dynamic spectrum access problem for cognitive radio (CR) networks is formulated as maximizing the sum channel capacity while satisfying the power budgets of individual secondary user radios as well as the SINR constraints on both the ...
Du, KL, Ni, Q, Swamy, MNS
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Northeast Journal of Complex Systems, 2021 Here we present the entropic dynamics formalism for networks. That is, a framework for the dynamics of graphs meant to represent a network derived from the principle of maximum entropy and the rate of transition is obtained taking into account the natural information geometry of probability distributions.
Felipe Xavier Costa, Pedro Pessoa
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CONTROLLING NETWORK DYNAMICS [PDF]
Advances in Complex Systems, 2019 Network science has experienced unprecedented rapid development in the past two decades. The network perspective has also been widely applied to explore various complex systems in great depth. In the first decade, fundamental characteristics of complex network structure, such as the small-worldness, scale-freeness, and modularity, of various complex ...
Aming Li, Yang-Yu Liu
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