Szczegóły

Tytuł artykułu

Detection of Wood Boring Insects’ Larvae Based on the Acoustic Signal Analysis and the Artificial Intelligence Algorithm

Tytuł czasopisma

Archives of Acoustics

Rocznik

2017

Wolumin

vol. 42

Numer

No 1

Autorzy publikacji

Wydział PAN

Nauki Techniczne

Wydawca

Committee on Acoustics PAS, PAS Institute of Fundamental Technological Research, Polish Acoustical Society

Data

2017

Identyfikator

ISSN 0137-5075 ; eISSN 2300-262X

Referencje

Pence (1954), Detecting wood - boring insects electronic device devel - oped as aid in locating insects destructive to timber and wood products, California Agriculture, 5. ; Zorović (2015), Laser vibrometry as a diagnostic tool for detecting wood - boring beetle larvae of, Journal Pest Science, 88, 107, doi.org/10.1007/s10340-014-0567-5 ; Stirr (1999), Use of CT in De - tection of Internal Damage and Repair and Determi - nation of Authenticity in High - Quality Bowed Stringed Instruments, RadioGraphics, 19, 639, doi.org/10.1148/radiographics.19.3.g99ma09639 ; Mikołajska (2012), X - ray techniques in the investigation of a Gothic sculp - ture : The risen Christ, Nukleonika, 57, 627. ; Mankin (2004), Lar - son Acoustic system for in - sect detection in plant stems : comparisons of Cephus cinctus in wheat and Metamasius callizona in bromeli - ads of Agricultural and Urban, Journal Entomology, 21, 239. ; Kurek (2010), Support vector machine for fault diagnosis of the broken rotor bars of squirrel - cage induction motor, Neural Comput, 19, 557, doi.org/10.1007/s00521-009-0316-5 ; Fleming (2005), Noncontact ultra - sound detection of exotic insects in wood packing ma - terials Forest Products, Journal, 55, 33.

DOI

10.1515/aoa-2017-0007

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