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Titlebook: Smittestopp − A Case Study on Digital Contact Tracing; Ahmed Elmokashfi,Olav Lysne,Valeriya Naumova Book‘‘‘‘‘‘‘‘ 2022 The Editor(s) (if ap

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发表于 2025-3-21 18:42:41 | 显示全部楼层 |阅读模式
书目名称Smittestopp − A Case Study on Digital Contact Tracing
编辑Ahmed Elmokashfi,Olav Lysne,Valeriya Naumova
视频video
概述This book is open access, which means that you have free and unlimited access
丛书名称Simula SpringerBriefs on Computing
图书封面Titlebook: Smittestopp − A Case Study on Digital Contact Tracing;  Ahmed Elmokashfi,Olav Lysne,Valeriya Naumova Book‘‘‘‘‘‘‘‘ 2022 The Editor(s) (if ap
描述.This open access book describes Smittestopp, the first Norwegian system for digital contact tracing of Covid-19 infections, which was developed in March and early April 2020. The system was deployed after five weeks of development and was active for a little more than two months, when a drop in infection levels in Norway and privacy concerns led to shutting it down.  The intention of this book is twofold.  First, it reports on the design choices made in the development phase.  Second, as one of the only systems in the world that collected population data into a central database and which was used for an entire population, we can share experience on how the design choices impacted the system‘s operation. By sharing lessons learned and the challenges faced during the development and deployment of the technology, we hope that this book can be a valuable guide for experts from different domains, such as big data collection and analysis, application development, and deployment in a national population, as well as digital tracing..
出版日期Book‘‘‘‘‘‘‘‘ 2022
关键词Open Access; digital contract tracing; Covid-19; public health; pandemic; BLE; GPS
版次1
doihttps://doi.org/10.1007/978-3-031-05466-2
isbn_softcover978-3-031-05465-5
isbn_ebook978-3-031-05466-2Series ISSN 2512-1677 Series E-ISSN 2512-1685
issn_series 2512-1677
copyrightThe Editor(s) (if applicable) and The Author(s) 2022
The information of publication is updating

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发表于 2025-3-21 22:36:04 | 显示全部楼层
2512-1677 chnology, we hope that this book can be a valuable guide for experts from different domains, such as big data collection and analysis, application development, and deployment in a national population, as well as digital tracing..978-3-031-05465-5978-3-031-05466-2Series ISSN 2512-1677 Series E-ISSN 2512-1685
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Ahmed Elmokashfi,Amund Kvalbeinraining transformers and LSTMs for NLP, and VGG and ResNet for image classification over CIAF10 and CIFAR100 while matching the best performance of the eight adaptive methods when training WGAN-GP models for image generation tasks. Furthermore, SET-Adam produces higher validation accuracies than Ada
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