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Smart Grid and Internet of Things: 5th EAI International Conference, SGIoT 2021, Virtual Event, December 18-19, 2021, Proceedings 1st ed. 2022 [Minkštas viršelis]

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Smart Grid and Internet of Things: 5th EAI International Conference, SGIoT 2021, Virtual Event, December 18-19, 2021, Proceedings 1st ed. 2022Didesnis paveikslėlis
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Pastovi nuoroda: https://www.kriso.lt/db/9783031203978.html
Raktažodžiai:
This book constitutes the refereed proceedings of the 5th EAI International Conference on Smart Grid and Internet of Things, SGIoT 2021, held in TaiChung, Taiwan, in December 2021.

The 9 regular papers and 4 short papers presented were carefully reviewed and selected from 57 submissions. The papers cover a broad range of topics in wireless sensor, vehicular ad hoc networks, security, deep learning and big data. The papers are organized in two subject areas: applications on internet of things, and communication security, big data, neural networks and machine learning.

Applications on Internet of Things.- Intellectual Property Protection of
Zhuang Nationality Funeral Culture on Internet of Things.- China IoT UBI Car
Insurance Regulatory Development Trend.- Constructing a violence recognition
technique for elderly patients with lower limb disability.- Aquaculture
Monitoring Systems based on Lightweight Kubernetes and Rancher.- Design and
Implementation of Water Monitoring Using LoRa and NB-IoT.-  InterWorking
Function for Mission Critical Push To Talk Services.- Communication Security,
Big Data, Neural Networks and Machine Learning.- Lightweight
Privacy-Preserving Data Aggregation Scheme Based on Elliptic Curve
Cryptography for Smart Grid Communications.- Design and Implementation of
Distributed Image Recognition App with Federal Learning
Techniques.- Improving Vision Clarity and Object Detection Accuracy in Heavy
Rain Base on Neural Network.- An Enhanced Location-data Differential Privacy
Protection Method Based on Filter.- Big data grave register information
management system outside cemeteries under Internet of Things.- Machine
Learning-based Models for Monofacial and Bifacial PV Module and Critical
Model Feature Selection.- Study on the discovery of personal information on
the network of people diagnosed with COVID-19.