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Titlebook: Digital Twins: Basics and Applications; Zhihan Lv,Elena Fersman Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive

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樓主: Philanthropist
11#
發(fā)表于 2025-3-23 11:10:13 | 只看該作者
Digital Twins and Additive Manufacturing,representation of the hardware. They have the potential to model the physical world in real time. This chapter summarizes the state-of-the-art status, current problems and prospects of digital twins for additive manufacturing.
12#
發(fā)表于 2025-3-23 15:50:53 | 只看該作者
Agricultural Digital Twins,icultural field, this chapter synthesizes the existing technologies of Digital Twins, discusses the development prospects of it in the agricultural field, and puts forward the problems that still exist in the application of Digital Twins in the agricultural field.
13#
發(fā)表于 2025-3-23 20:13:04 | 只看該作者
14#
發(fā)表于 2025-3-23 22:11:22 | 只看該作者
15#
發(fā)表于 2025-3-24 03:51:20 | 只看該作者
16#
發(fā)表于 2025-3-24 08:29:52 | 只看該作者
17#
發(fā)表于 2025-3-24 14:27:59 | 只看該作者
18#
發(fā)表于 2025-3-24 18:21:33 | 只看該作者
Andrea Resca,Miria Grisot,Marco Velicognamposed of four main components: (i) Physical system, (ii) virtual system, (iii) systems data, and (iv) communication interface. The physical system is composed of people, machines, and processes and represents the main focus of DT. On the other hand, the virtual system is composed of one or more hig
19#
發(fā)表于 2025-3-24 20:25:26 | 只看該作者
Krassimira Paskaleva,Ian Coopertal twins and data-driven digital twins are explored, and their complementary nature in informative decision-making highlighted. Physics-based digital twins allow for causal inference to support decisions proposed by agile data-driven deep digital twins through unsupervised learning. Deep digital tw
20#
發(fā)表于 2025-3-25 01:09:16 | 只看該作者
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