Non-destructive testing of CIPP defects using a machine learning approach
Neporušno testiranje CIPP napak z uporabo pristopa strojnega učenja

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Contibutor(s)

Dvořák, Richard (author)
Pazdera, Luboš (author)
Topolář, Libor (author)
Jakubka, Luboš (author)
Puchýř, Jan (author)

Language

english

Source

Materiali in tehnologije

Year

2024

Numbering

volume 58, issue 5

Content

acoustic parameters classification cured-in-place pipes impact-echo method machine learning non-destructive testing pipe defects retrofitting

Publisher

Inštitut za kovinske materiale in tehnologije

Provider

Inštitut za kovinske materiale in tehnologije
(Obvezni izvod spletne publikacije)

Rights

URN

URN:NBN:SI:DOC-O9K6EDJU

COBISSID

218538499

DOI

10.17222/mit.2023.1000

Added

11.02.2025

Metadata

Citation

APA:

Dvořák, Richard, Pazdera, Luboš, Topolář, Libor, Jakubka, Luboš, Puchýř, Jan (2024). Non-destructive testing of CIPP defects using a machine learning approach. Materiali in tehnologije, volume 58, issue 5, str. 561–565. URN:NBN:SI:DOC-O9K6EDJU from http://www.dlib.si

MLA:

Dvořák, Richard, Pazdera, Luboš, Topolář, Libor, Jakubka, Luboš, Puchýř, Jan. "Non-destructive testing of CIPP defects using a machine learning approach." Materiali in tehnologije volume 58. issue 5 (2024) str. 561–565.
<http://www.dlib.si/?URN=URN:NBN:SI:DOC-O9K6EDJU>

Materiali in tehnologije
2000-
(Assembly record)

Non-destructive testing of CIPP defects using a machine learning approachNeporušno testiranje CIPP napak z uporabo pristopa strojnega učenja

Non-destructive testing of CIPP defects using a machine learning approach
Neporušno testiranje CIPP napak z uporabo pristopa strojnega učenja