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represent the extreme upper end of a continuum, varying in scale and intensity down to the mere risk of tripping posed by minor undulations on the ground surface In between are a wide range of potentially destructive phenomena such as avalanches, landslides, and collapses in the ground surface (cf Koch 1994) Where groundwater is the principal agent of destruction we may legitimately talk of hydro-geohazards 812 Hydro-geohazards: introductory summary Groundwater is the principal causative agent of a wide range of geohazards, which are experienced across a very broad range of scales (physical and temporal) At the largest of scales, sudden groundwater ingress to magma chambers is responsible for the most destructive form of volcanic eruptions, so-called phreatic i eruptions (eg Mastin 1997) Phreatic eruptions are extremely explosive, due to the violence with which cool groundwater is instantaneously vaporized. asp.net ean 13 EAN - 13 ASP . NET Control - EAN - 13 barcode generator with free ...
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NET Core Barcode is a cross-platform Portable Class Library that generates barcodes using barcode fonts. It supports Windows, macOS and Linux, and can be ... In related work on nonlinear growth models, Richards (1959) criticized and expanded the original von Bertalanffy model by demonstrating how all prior models can be seen as speci c solutions of a family of deterministic differential equations (ie, speci c restrictions led to the exponential, logistic, Gompertz, and von Bertalanffy equations) This work was extended by Nelder (1961) and Sandland and McGhilcrest (1978; for reviews, see Sieber & Wild, 1989; Zeger & Harlow, 1987) Attempts to t a single growth model to observations over a wide range of ages with a minimal set of parameters led researchers to combine aspects of other models A more recent expansion based on the logistic model was developed by Preece and Baines (1978), who suggested that all previous models could be written as a derivative based on some prede ned function of time and some asymptotic value. This chapter presents one approach to the challenging problem of discovering structures of streaming data in real time. The proposed evolving Gustafson-Kessellike (eGKL) clustering algorithm is a step toward the problem of online evolving clustering of streams of data. Although inspired by the generic cluster shape and orientation of the Gustafson-Kessel algorithm, the new algorithm is closer to the spirit of the k-NN and LVQ clustering methods. It provides a methodology for adaptive, stepby-step identi cation of clusters that are similar to the GK clusters. The algorithm is based on a new approach to the problem of estimation of the number of clusters and their boundaries that is motivated by the identi ed similarities between the concept of evolving clustering and the well-established multivariate SPC techniques. The proposed algorithm addresses some of the basic problems of the new eld of evolving systems, for example, recursive estimation of the cluster centers, inverse covariance matrixes, covariance determinants, Mahalanobis distance-type similarity relations that are enablers for computationally ef cient implementation in real-time identi cation, classi cation, prognostics, process modeling, and anomaly detection, and other embedded-system types of applications. asp.net ean 13 EAN - 13 Barcode Generator for ASP . NET Web Application
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