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Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Matematika / Mathematics (N001);Miškotyra / Forestry (A004)
Author(s): Visalga, Gintaras;Rupšys, Petras;Petrauskas, Edmundas
Title: Influence of noise on decay predictions in standing trees
Is part of: AIP Conference Proceedings : 9th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences, AMiTaNS 2017, Bulgaria, 21-26 June 2017. , 2017, Vol. 1895
Extent: p.[1-9]
Date: 2017
Note: ISBN 9780735415799
Abstract: In the present study, the stochastic process, termed the Vasicek, have been implemented to analyze propagation velocity data of stress wave that diffuses through the wood of decayed and sound stems in standing trees. Stochastic processes offer the possibility of capturing important distributional differences between stress wave velocity datasets of decayed and sound trees and make the detecting rule flexible to internal decay in standing trees. It is shown that the Vasicek type stochastic process is a possible candidate for statistical classification of waveforms. Rigorous quantile regression analysis is based on the conditional probability density functions whose are fitted for stress wave velocity datasets of sound and decayed trees. New developed detector rules derived from stochastic differential equations may be used as an initial tool for detecting internal decay in standing trees
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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