コメント: Development of an Autograding System for Weld Bead Surface Quality using Feature Extraction and Mahalanobis-Taguchi System

Development of an Autograding System for Weld Bead Surface Quality using Feature Extraction and Mahalanobis-Taguchi System

Autograding systems are becoming more prevalent to address the challenges inherent in teaching and learning assessment. Over the past few decades, technological advancements have increased image processing techniques, including pattern recognition research. The Mahalanobis-Taguchi System (MTS) is a...

詳細記述

保存先:

書誌詳細
主要な著者:	Harudin N., Norizhar M.A.H., Marlan Z.M., Selamat F.E.B.
その他の著者:	56319654100
フォーマット:	Conference Paper
出版事項:	Institute of Electrical and Electronics Engineers Inc. 2024
主題:	Autograding Feature extraction Image Processing technique Mahalanobis Distance Mahalanobis-Taguchi System Weld Bead Surface Quality Extraction Image processing Surface properties Welds Bead surface quality Classifieds Features extraction Image processing technique Mahalanobis distances Mahalanobis-taguchi systems Teaching and learning Weld bead Weld bead surface quality Grading
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

このレコードへの初めてのコメントを付けませんか!

Development of an Autograding System for Weld Bead Surface Quality using Feature Extraction and Mahalanobis-Taguchi System

類似資料