£107.37

Physica-Verlag Soft Computing in Textile Sciences: 108 Book

Name: Physica-Verlag Soft Computing in Textile Sciences: 108 Book
Brand: Physica-Verlag
Price: 107.37 GBP
Availability: InStock

Managers' Guides to Computing

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Description

Explore the intersection of advanced technology and the textile industry with Soft Computing in Textile Sciences: 108. As textile manufacturing deals with high volumes and low profit margins, the need for sophisticated data interpretation and analysis has become essential. This volume from the Studies in Fuzziness and Soft Computing series addresses how soft computing provides solutions for these modern industrial challenges. This book offers a deep look into how computing techniques can improve efficiency in textile and apparel sectors. It is a valuable resource for professionals and students looking to understand the integration of high technology within traditional manufacturing frameworks. By focusing on data-driven analysis, the text helps bridge the gap between textile production and digital intelligence. The content is structured to provide clear insights into the practical applications of soft computing in current industry practices.

Key Features

Covers essential aspects of soft computing specifically applied to the textile and apparel industries.

Provides detailed analysis of data interpretation and analysis techniques for textile production.

Part of the Studies in Fuzziness and Soft Computing series, volume 108.

Includes six specialized chapters discussing various technological applications in the field.

Addresses industry needs for high technology solutions to manage high volume manufacturing.

Product Specifications

Brand: Physica-Verlag
Format: paperback
ASIN: 3790825166
Category: Books > Subjects > Business, Finance & Law > E-Commerce > Managers' Guides to Computing
Domain: Amazon UK
Publication Date: 21 October 2010
Listed Since: 20 September 2010

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Physica-Verlag Soft Computing in Textile Sciences: 108 Book

New to our records — first sighting 25 days ago. We'll learn its rhythm.

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