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Titlebook: Smart Grid and Internet of Things; 4th EAI Internationa Yi-Bing Lin,Der-Jiunn Deng Conference proceedings 2021 ICST Institute for Computer

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发表于 2025-3-21 17:14:07 | 显示全部楼层 |阅读模式
书目名称Smart Grid and Internet of Things
副标题4th EAI Internationa
编辑Yi-Bing Lin,Der-Jiunn Deng
视频video
丛书名称Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
图书封面Titlebook: Smart Grid and Internet of Things; 4th EAI Internationa Yi-Bing Lin,Der-Jiunn Deng Conference proceedings 2021 ICST Institute for Computer
描述This volume, SGIoT 2020, constitutes the refereed proceedings of the 4th EAI International Conference on Smart Grid and Internet of Things, SGIoT 2020, held in TaiChung, Taiwan, in December 2020..The IoT-driven smart grid is currently a hot area of research boosted by the global need to improve electricity access, economic growth of emerging countries, and the worldwide power plant capacity additions. . The 40 papers presented were reviewed and selected from 159 submissions and present broad range of topics in wireless sensor, vehicular ad hoc networks, security, blockchain, and deep learning..
出版日期Conference proceedings 2021
关键词artificial intelligence; bandwidth; communication channels (information theory); communication systems;
版次1
doihttps://doi.org/10.1007/978-3-030-69514-9
isbn_softcover978-3-030-69513-2
isbn_ebook978-3-030-69514-9Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2021
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Conference proceedings 2021, held in TaiChung, Taiwan, in December 2020..The IoT-driven smart grid is currently a hot area of research boosted by the global need to improve electricity access, economic growth of emerging countries, and the worldwide power plant capacity additions. . The 40 papers presented were reviewed and s
发表于 2025-3-22 03:34:37 | 显示全部楼层
Research of Offloading Decision and Resource Scheduling in Edge Computing Based on Deep Reinforcemen data centers. The cloud computing data centers is moving from the center of the network to edge nodes with lower latency, namely, edge computing. Meanwhile, it can meet the needs of users for real-time services. In the field of edge computing, offloading decision and resource scheduling are the hot
发表于 2025-3-22 05:41:32 | 显示全部楼层
Using Machine Learning and Internet of Things Framework to Analyze Eggs Hatchingllent egg breeding and good incubation technology. In Taiwan, the control of important parameters for waterfowl hatchery is still based on the inheritance of experience. The manual intervention of the cold egg operation during the hatching process will also affect the stability of the hatching envir
发表于 2025-3-22 12:41:24 | 显示全部楼层
An Intelligent Tea Farm Management Platform Based on AgriTalk Technologyg knowledge. Applying intelligent agricultural planting technology will effectively reduce the burden of farm operations, reduce labor demand, and enable tea farmers to operate more efficiently. The research introduces the most popular artificial intelligence (AI) technology, Internet of Things (IoT
发表于 2025-3-22 13:42:07 | 显示全部楼层
Deep Learning at the Edge for Operation and Maintenance of Large-Scale Solar Farmsility to observe sensors on solar panels using Internet of Things (IoT) technologies makes it possible to study the behavior of solar panels under various conditions and to detect anomalous behaviors in real-time. Such technologies make it possible for grid administrators to make informed decisions
发表于 2025-3-22 20:02:20 | 显示全部楼层
Fair Resource Reusing for D2D Communication Based on Reinforcement Learninghe fifth generation (5G) wireless networks. The system capability can even be improved by reusing resource between D2D user equipment (DUE) and cellular user equipment (CUE) without bring harmful interference to the CUEs. A D2D resource allocation method is expected to have the characteristic that o
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