2021
DOI: 10.1016/j.jmsy.2021.07.022
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Cross-evaluation of a parallel operating SVM – CNN classifier for reliable internal decision-making processes in composite inspection

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Cited by 20 publications
(3 citation statements)
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“…The use of the confusion matrix is justifiable as it has been extensively employed in artificial intelligence research, including the evaluation of CNN models, to assess the reliability of model performance. [58], [59], [60], [61].…”
Section: E Reliability Of Classification Accuracy Results Estimated B...mentioning
confidence: 99%
“…The use of the confusion matrix is justifiable as it has been extensively employed in artificial intelligence research, including the evaluation of CNN models, to assess the reliability of model performance. [58], [59], [60], [61].…”
Section: E Reliability Of Classification Accuracy Results Estimated B...mentioning
confidence: 99%
“…These tasks may include detection of resin race-tracking in molds 135 , flow disturbances 136 , and unfilled zones formation 137 during the filling stage of an LCM process as well as inspection of broken-filaments during fiber production 138 . Novel AI-based methods for the inspection of the Automated Fiber Placement (AFP) process have also been presented by several researchers [139][140][141][142][143] . As part of health monitoring of structures, machine/deep learning models have been used for defect/damage detection [144][145][146][147][148][149][150] , characterization of cracks/delamination [151][152][153] and classification of impact levels 154 .…”
Section: The Meta-verse Of Composites Manufacturingmentioning
confidence: 99%
“…The objectivity of the sustainability review process and the outcomes of PV projects cannot be entirely guaranteed by these methodologies, which are mostly impacted by subjective variables [12]. The objective evaluation methods do not assign different weights to various assessment items; rather, they only take into account how much the various indicators vary from one another in the total index and how much they influence other indicators [13]. Defined as the use of artificial intelligence algorithms in evaluation, the intelligent evaluation approach is thus introduced in this study [14].…”
Section: Introductionmentioning
confidence: 99%