METAL 2021 Conference Proeedings 2021
DOI: 10.37904/metal.2021.4210
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APPLICATION OF MACHINE LEARNING in the analysis of surface quality – the detection The Surface Layer DAMAGE of the VEHICLE BODY

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Cited by 6 publications
(6 citation statements)
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“…The presented analysis may inspiring in many branches of the industry interested in high quality e.g. service [15], automotive [16][17][18][19], BIM [20], biotechnology [21,22] and quality general management [23]. Such approach leads to desirable sustainable production [24][25][26], increases the trend for automation [27,28] and gives new ideas for analysis methods [29,30], both parametric [31,32] and non-parametric [33][34][35].…”
Section: Discussionmentioning
confidence: 99%
“…The presented analysis may inspiring in many branches of the industry interested in high quality e.g. service [15], automotive [16][17][18][19], BIM [20], biotechnology [21,22] and quality general management [23]. Such approach leads to desirable sustainable production [24][25][26], increases the trend for automation [27,28] and gives new ideas for analysis methods [29,30], both parametric [31,32] and non-parametric [33][34][35].…”
Section: Discussionmentioning
confidence: 99%
“…This approach has broader implications beyond the specific case studied, as it can be applied to other laser processing scenarios where surface morphology plays a critical role [7][8][9]. Altering the characteristics of the surface layer is a commonly employed solution in various fields [10][11][12], and image analysis serves as a valuable diagnostic tool in this process [13][14][15]. These modifications are not only relevant to the energy sector [16], but also to hydraulic power systems [17,18] and the broader field of material engineering [19][20][21] and corrosion protection [22,23].…”
Section: Introductionmentioning
confidence: 99%
“…The technique presented here, which utilizes lasers to modify the surface morphology affecting heat transfer, can also find application in other laser processing cases where surface morphology is a crucial process or technological factor [8][9][10]. Changing the characteristics of the surface layer is a frequently employed solution [11][12][13], with image analysis serving as a vital diagnostic tool [14][15][16]. Such modifications are of interest not only in the energy sector [17] but also in hydraulic power systems [18,19] and the broader field of material engineering [20][21][22].…”
Section: Introductionmentioning
confidence: 99%