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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
A Prediction Modeling Framework For Noisy Welding Quality Data, Junheung Park
A Prediction Modeling Framework For Noisy Welding Quality Data, Junheung Park
Wayne State University Dissertations
Numerous and various research projects have been conducted to utilize historical manufacturing process data in product design. These manufacturing process data often contain data inconsistencies, and it causes challenges in extracting useful information from the data. In resistance spot welding (RSW), data inconsistency is a well-known issue. In general, such inconsistent data are treated as noise data and removed from the original dataset before conducting analyses or constructing prediction models. This may not be desirable for every design and manufacturing applications since every data can contain important information to further explain the process. In this research, we propose a prediction …
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Journal of International Technology and Information Management
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From The Desk Of The Editor
Journal of International Technology and Information Management
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Journal of International Technology and Information Management
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From The Desk Of The Editor
Journal of International Technology and Information Management
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Table Of Contents
Journal of International Technology and Information Management
No abstract provided.
From The Desk Of The Editor
Journal of International Technology and Information Management
No abstract provided.
Table Of Contents
Journal of International Technology and Information Management
No abstract provided.
Table Of Contents
Journal of International Technology and Information Management
No abstract provided.