HEIR
发表于 2025-3-21 17:44:19
书目名称Internet of Things影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0472451<br><br> <br><br>书目名称Internet of Things影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0472451<br><br> <br><br>书目名称Internet of Things网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0472451<br><br> <br><br>书目名称Internet of Things网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0472451<br><br> <br><br>书目名称Internet of Things被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0472451<br><br> <br><br>书目名称Internet of Things被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0472451<br><br> <br><br>书目名称Internet of Things年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0472451<br><br> <br><br>书目名称Internet of Things年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0472451<br><br> <br><br>书目名称Internet of Things读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0472451<br><br> <br><br>书目名称Internet of Things读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0472451<br><br> <br><br>
HARP
发表于 2025-3-21 23:20:19
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TIA742
发表于 2025-3-22 02:13:08
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从容
发表于 2025-3-22 07:20:59
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原始
发表于 2025-3-22 08:47:21
IntellIoT: Intelligent IoT Environmentses of next generation IoT applications and highlight associated challenges for future research. We further present the IntellIoT framework that comprises the required components to address the identified challenges.
CLIFF
发表于 2025-3-22 14:38:37
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Constituent
发表于 2025-3-22 19:40:02
An Interoperable Framework for Heterogeneous IoT infrastructure to Unlock Data Value semantics that create closed ecosystems. To address above mentioned interoperability issue, we proposed an IoT interoperability framework to support different layers of heterogeneous sensors, edge devices, on-premise platform and even cloud platforms, so as to unlock data value.
折磨
发表于 2025-3-22 22:46:46
Sleep Stage Detection on a Wearable Headband Using Deep Neural Networksral network. We then apply transfer learning to the sleep classifier with data extracted from our device. Overall, we were able to successfully create a model with data from the medical device and obtain a 81.19% sleep stage classification accuracy.
guzzle
发表于 2025-3-23 04:11:25
Assessing Efficiency Benefits of Edge Intelligencesally compare deep learning based on energy consumption measurements for inference and deep learning, on recognition gradients, and on number of classes. Sustainability is assessed with deep learning lifecycle efficiency and life cycle recognition efficiency metrics that include the number of times models are used.
Fulsome
发表于 2025-3-23 08:47:23
Conference proceedings 2022in topical sections as follows: ioT enabling technologies; ioT applications, services and real implementations; ioT security, privacy and data protection; and ioT pilots, testbeds and experimentation results..