针叶样品的核磁共振波谱和基于学习的分类

Q3 Business, Management and Accounting

International Journal of Product Lifecycle Management Pub Date : 2022-01-01 DOI:10.1007/978-3-031-25182-5_32

Louis Combis, A. Bourafai-Aziez, Baudouin Dafflon, Maxime Guériau, Philippe Bonal, Emmanuel Cassin, Y. Ouzrout

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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NMR Spectroscopy and Learning-Based Classification of Acerola Samples

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来源期刊

International Journal of Product Lifecycle Management Business, Management and Accounting-Business and International Management

CiteScore

2.00

自引率

0.00%

发文量

期刊介绍： Product Lifecycle Management (PLM) is generally defined as a strategic business approach for the effective management and use of corporate intellectual capital. Today, challenges faced by product development teams include globalisation, outsourcing, mass customisation, fast innovation and product traceability. These challenges enhance the need for collaborating environments and knowledge management along the product lifecycle stages. PLM systems are gaining acceptance for managing all information about the corporation’s products throughout their full lifecycle, from conceptualisation to operations and disposal. The PLM philosophy and systems aim at providing support to an even broader range of engineering and business activities.