Confusion matrices for classification performance under different materials and noise conditions: noisy cotton blend.

Confusion matrices for classification performance under different materials and noise conditions: noisy cotton blend.

<p>The diagram presents the classification results for different types of fabrics using the HDAN-PF model.This is the confusion matrix for noisy cotton blend fabric.</p>

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Bibliographic Details
Main Author:	Qingchun Jiao (18388097) (author)
Other Authors:	Zifan Qian (22177556) (author), Yue Dong (428521) (author), Bo He (367100) (author)
Published:	2025
Subjects:	Biotechnology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified total parameter count space domain features showcasing robust generalization machine vision approach experimental results demonstrate diverse fabric images capture subtle features proposed method offers proposed method achieves model &# 8217 maintaining high accuracy improving evaluation speed textile product quality achieve objective assessment fuzzing </ p objective evaluation method incorporates model size classification accuracy textile fabrics achieving objective xlink "> transformative solution subjective judgments study proposes rating errors practical utility pf ), hybrid feature fuzzing grades fuses frequency efficient assessments effectively extracts crucial indicator approximately 327 37 mb
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