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Titlebook: Internet of Things – ICIOT 2023; 8th International Co Kejiang Ye,Liang-Jie Zhang Conference proceedings 2024 The Editor(s) (if applicable)

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樓主: Wilder
21#
發(fā)表于 2025-3-25 05:42:36 | 只看該作者
https://doi.org/10.1007/978-3-031-51734-1metaverse; 5G; edge; wearable devices; smart home; smart city; robots; AI; auto driving; security; AIoT
22#
發(fā)表于 2025-3-25 11:27:09 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/472512.jpg
23#
發(fā)表于 2025-3-25 13:51:18 | 只看該作者
Conference proceedings 2024enzhen, China, during December 17–18, 2023..The 8 full papers presented in this volume were carefully reviewed and selected from 28 submissions. The papers cover topics in the field of?sensors and other types of sensing devices, wired and wireless networks, platforms and tools, data processing/visualization/analysis and integration engines..
24#
發(fā)表于 2025-3-25 18:18:29 | 只看該作者
25#
發(fā)表于 2025-3-25 22:07:44 | 只看該作者
Internet of Things – ICIOT 2023978-3-031-51734-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
26#
發(fā)表于 2025-3-26 00:30:30 | 只看該作者
,A Survey on?Security in?Data Transmission in?IoT: Layered Architecture, avoid existing risks and problems. In this survey, an in-depth look at the security of data transmission by layer and their solutions is presented. After discussing the security issues, advantages and disadvantages of the proposed solutions are also discussed. Finally, the limitations of IoT device
27#
發(fā)表于 2025-3-26 05:56:56 | 只看該作者
A Location Recommendation Model Based on User Behavior and Sequence Influence, filtering, and .th-order additive Markov chain. First, UBSI collects users’ check-in sequence and interaction behavior data, generates interest weight using a weight model, integrates personalized data using collaborative filtering method, and finally applies the weighted .th-order additive Markov
28#
發(fā)表于 2025-3-26 10:11:42 | 只看該作者
29#
發(fā)表于 2025-3-26 14:58:43 | 只看該作者
30#
發(fā)表于 2025-3-26 18:09:25 | 只看該作者
,DigitalPlantMan: A Multi Process Manufacturing Task Management System for?Digital Plant,nal design, database design, and implementation of each system module. Finally, testing results indicate that the system facilitates efficient business collaboration on a unified platform, thereby assisting enterprises in enhancing their digital and intelligent manufacturing capabilities to achieve
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