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Symmetry Evolution of La<sub>2</sub>O<sub>3</sub> from P<b>3-</b>m1 to P6<sub>3</sub>/mmc for Enhanced Electrocatalytic H<sub>2</sub>O<sub>2</sub> Production. [PDF]
Yuan H +6 more
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Study on the synergistic control effect of composite reagent water spray on gas and coal dust. [PDF]
Zhao B +6 more
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Numerical Analysis and Strain Monitoring of the Curing Process in Ring-Shaped CFRP Components. [PDF]
Tian Y, Ding B, Du J, Zhang M.
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Foundations of compositional models: inference
International Journal of General Systems, 2021Compositional models, as an alternative to Bayesian networks, are assembled from a system of low-dimensional distributions. Thus the respective apparatus falls fully into probability theory.
Vladislav Bína +2 more
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Web Services: Foundation and Composition
Electronic Markets, 2003Today both business analysts and information systems engineers attribute a great potential to Web services as a vehicle to simplify the interoperability of services offered by different organizations in electronic business scenarios. In this paper, the Service Oriented Architecture is explained as the foundation of this new technology.
Jens Hündling, Mathias Weske
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Foundations for Circular Compositional Reasoning
2001Compositional proofs about systems of many components require circular reasoning principles in which properties of other components need to be assumed in proving the properties of each individual component. A number of such circular assume-guarantee rules have been proposed for different concurrency models and different forms of property specifications.
Mahesh Viswanathan 0001 +1 more
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Dagstuhl Seminar on the Foundations of Composite Event Recognition
ACM SIGMOD Record, 2021Composite event recognition (CER) is concerned with continuously matching patterns in streams of 'event' data over (geographically) distributed sources. This paper reports the results of the Dagstuhl Seminar "Foundations of Composite Event Recognition" held in 2020.
Artikis, A +3 more
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Foundations of compositional models: structural properties
International Journal of General Systems, 2014The paper is a follow-up of [R.J.: Foundations of compositional model theory. IJGS, 40(2011): 623–678], where basic properties of compositional models, as one of the approaches to multidimensional probability distributions representation and processing, were introduced.
Radim Jirousek, Václav Kratochvíl
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Foundations of compositional model theory
International Journal of General Systems, 2011Graphical Markov models, most of all Bayesian networks, have become a very popular way for multidimensional probability distribution representation and processing. What makes representation of a very-high-dimensional probability distribution possible is its independence structure, i.e.
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