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Titlebook: Intelligent Industrial Internet Systems; Architecture, Deploy Wanchun Dou,Xiaolong Xu,Shui Yu Book 2023 The Editor(s) (if applicable) and T

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發(fā)表于 2025-3-25 05:38:09 | 只看該作者
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發(fā)表于 2025-3-25 10:47:17 | 只看該作者
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發(fā)表于 2025-3-25 13:50:43 | 只看該作者
Introduction,tomation technologies within industrial settings. IIoT represents a significant shift in how humans approach manufacturing, logistics, and supply chain management by leveraging real-time monitoring, automation, and data analytics..One of the main advantages of IIoT is predictive maintenance, which i
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發(fā)表于 2025-3-25 15:52:53 | 只看該作者
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發(fā)表于 2025-3-25 21:43:28 | 只看該作者
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發(fā)表于 2025-3-26 01:30:40 | 只看該作者
Intelligent Cooperation Technology for Multi-Access Device,ber of interruptions and resolution reductions seriously affect the user experience. Through direct transmission between devices, device-to-device (D2D) can effectively improve the cooperation quality of service. Accurate decision for helper device selection is the key to optimize services based on
27#
發(fā)表于 2025-3-26 05:16:09 | 只看該作者
Deep Optimization for Storage and Computation Over Industrial Internet, the Industrial Internet, the integration of data and automation has become possible, creating new opportunities for businesses to optimize their operations and improve their efficiency. Intelligent technologies, including deep learning, attentive model compression, computation sharing, and deep opt
28#
發(fā)表于 2025-3-26 10:11:24 | 只看該作者
User Data Privacy Protection in Industrial Application,nnected, resulting in a substantial volume of data, especially the location data. Common components of a location-based service (LBS) include “l(fā)ocation,” “content,” “timestamp,” and “range.” When it comes to safeguarding personal information, the location attribute and the content property are cruci
29#
發(fā)表于 2025-3-26 13:34:01 | 只看該作者
30#
發(fā)表于 2025-3-26 18:33:47 | 只看該作者
Attribute-Based Intelligent Data Management for Industrial Application,such as design engineers, process engineers, manufacturing engineers, maintenance engineers, product users, etc. As a result, the dataset of a product is often generated and shared in a cross-platform way. It is a typical distributed product evolutionary process associated with various data versions
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