Titlebook: Synchronization and Triggering: from Fracture to Earthquake Processes; Laboratory, Field An Valerio Rubeis,Zbigniew Czechowski,Roman Teisse

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Synchronizations of Microseismic Oscillations as the Indicators of the Instability of a Seismically urcation vicinity indicates that the system tends to be self-consistent throughout its volume, thereby preparing for the collective transition to a new state. In the statistical physics of fluids, such a behavior is known as “critical opalescence” or abnormal dispersion, and is considered as a unive

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Book 2010er understanding and interpretation of dynamical interactive processes of physical ?elds, both found in the laboratory experiments as well as in ?eld observations. One of the leading problems – related to synchronization and interaction of different physical ?elds in fracture processes concerns trig

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2190-5193 both found in the laboratory experiments as well as in ?eld observations. One of the leading problems – related to synchronization and interaction of different physical ?elds in fracture processes concerns trig978-3-642-26540-2978-3-642-12300-9Series ISSN 2190-5193 Series E-ISSN 2190-5207

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t collection. By selecting only relevant text clusters for language model training, we addressed the problem of generating task-specific language models. Different key term selection methods are investigated using perplexity as the evaluation measure. Automatically computed clusters are compared wit

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G. A. Sobolev,A. A. Lyubushin,N. A. Zakrzhevskayat collection. By selecting only relevant text clusters for language model training, we addressed the problem of generating task-specific language models. Different key term selection methods are investigated using perplexity as the evaluation measure. Automatically computed clusters are compared wit

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t collection. By selecting only relevant text clusters for language model training, we addressed the problem of generating task-specific language models. Different key term selection methods are investigated using perplexity as the evaluation measure. Automatically computed clusters are compared wit

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