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Titlebook: Big Data, Cloud Computing, Data Science & Engineering; Roger Lee Book 2019 Springer Nature Switzerland AG 2019 Computational Intelligence.

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發(fā)表于 2025-3-21 17:18:34 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Big Data, Cloud Computing, Data Science & Engineering
影響因子2023Roger Lee
視頻videohttp://file.papertrans.cn/186/185726/185726.mp4
發(fā)行地址Presents recent research on Computational Science & Computational Intelligence.Includes the revised outcomes of the 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science &
學(xué)科分類(lèi)Studies in Computational Intelligence
圖書(shū)封面Titlebook: Big Data, Cloud Computing, Data Science & Engineering;  Roger Lee Book 2019 Springer Nature Switzerland AG 2019 Computational Intelligence.
影響因子.This book presents the outcomes of the 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2018), which was held on July 10–12, 2018 in Kanazawa. The aim of the conference was to bring together researchers and scientists, businesspeople and entrepreneurs, teachers, engineers, computer users, and students to discuss the various fields of computer science, to share their experiences, and to exchange new ideas and information in a meaningful way. All aspects (theory, applications and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them are all explored here..The conference organizers selected the best papers from among those accepted for presentation. The papers were chosen on the basis of review scores submitted by members of the program committee and subsequently underwent further rigorous review. Following this second round of review, 13 of the conference’s most promising papers were selected for this Springer (SCI) book. We eagerly await the important contributions that we know these authors will make to the field of computer and information science.
Pindex Book 2019
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發(fā)表于 2025-3-21 20:57:29 | 只看該作者
https://doi.org/10.1007/978-3-031-01586-1g for large scale space. The system tested in this study kept positioning errors to within 2.2?m in real environment, and is applicable as an indoor navigation system for very large spaces such as airports and arenas.
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發(fā)表于 2025-3-22 01:59:32 | 只看該作者
Definition, Nature, and Scope of Logicled at both testing levels of domain and application testing. As a result, the MM-path-based integration testing method can be applied to the integration of common parts during domain testing without stub or driver implementation.
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Bluetooth Low Energy Plate and PDR Hybrid for Indoor Navigation,g for large scale space. The system tested in this study kept positioning errors to within 2.2?m in real environment, and is applicable as an indoor navigation system for very large spaces such as airports and arenas.
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https://doi.org/10.1007/978-981-16-2689-0 by sending sensing data messages from IoT devices. The comparison helps users to choose easily IoT service based on Cloud. Hence, it is necessary to collect the context data easily and extract useful part for information analysis and usage in Cloud based on IoT.
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Performance Analysis of IoT Services Based on Clouds for Context Data Acquisition, by sending sensing data messages from IoT devices. The comparison helps users to choose easily IoT service based on Cloud. Hence, it is necessary to collect the context data easily and extract useful part for information analysis and usage in Cloud based on IoT.
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