Journal of Reliable Intelligent Environments

Journal of Reliable Intelligent Environments
ISSN:
print: 2199-4668
on-line: 2199-4676
研究领域:
Computer Science-Computer Networks and Communications
Gold OA文章占比:
0.00%
原创研究文献占比:
0.00%
SCI收录类型:
Scopus (CiteScore)
期刊介绍英文:
“Intelligent Environments (IEs)” is growing fast as a multi-disciplinary field allowing many areas of research to have a real beneficial influence in our society. The basic idea behind these systems is that by enriching an environment with technology (sensors, processors, actuators, information terminals, and other devices interconnected through a network), a system can be built such that based on the real-time information gathered and the historical data accumulated, decisions can be taken to benefit the users of that environment. Expected benefits of this technology can be: (a) increasing safety (e.g., by monitoring lifestyle patterns or the latest activities and providing assistance when a possibly harmful situation is developing), (b) comfort (e.g., by adjusting temperature automatically), and (c) economy (e.g., controlling the use of lights). The Journal on Reliable Intelligent Environments focuses on theoretical developments and lessons learnt on the deployment of IEs.  The broad areas represented in the journal reflect the fact that reliability of software systems is the result of a number of approaches combined so an overarching principle of our publication will be to be open and flexible to embrace all type of techniques which can increase confidence in Intelligent Environments systems: selection, installation and calibration of equipmentdeployment and maintenance problemsrequirementsmodelingsimulationtestingvalidationformal verificationpeople-centred computingtoolspilots designsoftware development processsecurityprivacyusabilitysafetyperformancequality of servicelarge-scale integrationscalabilityadaptiveness and autonomicity
CiteScore:
CiteScoreSJRSNIPCiteScore排名
9.00.8741.328
学科
排名
百分位
大类:Computer Science
小类:Computer Networks and Communications
61 / 395
84%
大类:Computer Science
小类:Computer Science Applications
128 / 817
84%
大类:Computer Science
小类:Artificial Intelligence
75 / 350
78%
大类:Energy
小类:Renewable Energy, Sustainability and the Environment
65 / 270
76%
发文信息
历年影响因子
历年发表
2012年0
2015年17
2016年17
2017年20
2018年19
2019年22
2020年23
2021年43
2022年29
投稿信息
出版周期:
4 issues per year
初审时长:
10 days
出版商:
Springer Nature

Journal of Reliable Intelligent Environments - 最新文献

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Pub Date : 2024-07-26 DOI: 10.1007/s40860-024-00231-1 Zhen Lu, Imran Afridi, Hong Jin Kang, Ivan Ruchkin, Xi Zheng
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