Titlebook: Natural Hazards and Risk Research in Russia; Valentina Svalova Book 2019 Springer International Publishing AG, part of Springer Nature 201

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Stochastic Modeling of Human-Induced Thermokarst and Natural Risk Assessment for Existing and Planny thermokarst basing on the mathematical morphology of landscape approaches. Two versions of the models of the initiated thermokarst for linear structures are considered: the model of the initiated thermokarst 1.0 (linear variant) and the model of the initiated thermokarst 1.1 (zone variant). The re

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Stochastic Modeling of Natural Lacustrine Thermokarst Under Stable and Unstable Climate,mokarst plains’ pattern and development, primarily the morphological pattern of their landscapes. The bases of model creation are the approaches of mathematical morphology of landscape with wide use of random process theory. Studying territory type represents a slightly wavy subhorizontal surface wi

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remission

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Innocence

G. I. Batrak,I. A. Kostikova,I. A. Pozdnyakova,E. A. Karfidova,L. S. Tomsability to model, mine, and leverage massive security intelligence data. To construct a comprehensive and explicit CKG with low redundancy, coreference resolution (CR) plays a crucial role as the core step in knowledge fusion. Although the research on coreference resolution techniques in Natural Lan

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Alexander Ginzburg,Valentina Svalova,Alexey Nikolaev,German Postoev,Andrey Kazeevn proposed. However, current SDN-based security solutions can hardly provide sufficient protections in a real SDN network, due to several reasons: (1) they are implemented at either the centralized SDN controllers or the decentralized network devices, which are subject to a performance limitation; (

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etiquette