article·1998-08-01

Selection of suitable sewing needle using machine learning techniques

Zoran Stjepanović, Helena Strah

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Abstract

Selection of suitable sewing needle is one of the most important parameters for ensuring an effective and fault‐free sewing process. This task requires good knowledge of basic characteristics of a sewing needle, i.e. needle type, point shape and needle fineness. Also good knowledge of sewing materials is required. The contribution presents an analysis of important parameters that influence the sewing needle selection in women’s underwear production. The importance of those parameters in ensuring the appropriate seam quality is described. The selection of a suitable sewing needle was carried out on the basis of analysis of influential sewing parameters with application of machine learning from examples.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Textile materials and evaluations

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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