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Titlebook: Machine Learning in Industry; Shubhabrata Datta,J. Paulo Davim Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive

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31#
發(fā)表于 2025-3-26 21:36:21 | 只看該作者
32#
發(fā)表于 2025-3-27 01:53:07 | 只看該作者
R. Senthilnathanainable Development Goal to protect terrestrial ecosystems a.The problems related to the process of industrialisation such as biodiversity depletion, climate change and a worsening of health and living conditions, especially but not only in developing countries, intensify. Therefore, there is an inc
33#
發(fā)表于 2025-3-27 05:24:55 | 只看該作者
Srinivas Soumitri Miriyala,Itishree Mohanty,Kishalay Mitrans, especially but not only in developing countries, intensify. Therefore, there is an increasing need to search for integrated solutions to make development more sustainable.?The United Nations has acknowledged the problem?and approved the “2030 Agenda for Sustainable Development”. On 1st January 2
34#
發(fā)表于 2025-3-27 11:06:08 | 只看該作者
Shubhabrata Datta,J. Paulo DavimGuides on adopting data science and machine learning.Covers several machine learning techniques.Includes case studies on solving practical industrial problems
35#
發(fā)表于 2025-3-27 16:27:38 | 只看該作者
Management and Industrial Engineeringhttp://image.papertrans.cn/m/image/620673.jpg
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發(fā)表于 2025-3-27 21:09:01 | 只看該作者
https://doi.org/10.1007/978-3-030-75847-9Industrial Engineering; Industrial Informatics; Applications of Machine Learning; Industrial Applicatio
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發(fā)表于 2025-3-28 01:53:41 | 只看該作者
38#
發(fā)表于 2025-3-28 04:19:33 | 只看該作者
Machine Learning in Industry978-3-030-75847-9Series ISSN 2365-0532 Series E-ISSN 2365-0540
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發(fā)表于 2025-3-28 07:43:56 | 只看該作者
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發(fā)表于 2025-3-28 14:16:05 | 只看該作者
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