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Titlebook: Lecture Notes in Real-Time Intelligent Systems; Jolanta Mizera-Pietraszko,Pit Pichappan,Lahby Moha Conference proceedings 2019 Springer In

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书目名称Lecture Notes in Real-Time Intelligent Systems
编辑Jolanta Mizera-Pietraszko,Pit Pichappan,Lahby Moha
视频video
概述Presents recent research advances in Real Time Intelligent Systems.Includes the Proceedings of the Second International Conference on Real Time Intelligent Systems (RTIS 2017) held in Casablanca, Moro
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Lecture Notes in Real-Time Intelligent Systems; Jolanta Mizera-Pietraszko,Pit Pichappan,Lahby Moha Conference proceedings 2019 Springer In
描述.The second volume of the book series highlights works presented at the 2nd International Conference on Real Time Intelligent Systems, held in Casablanca on October 18-20, 2017​. The book offers a comprehensive, practical review of the state-of-the-art in designing and implementing real-time intelligent computing for the areas within the conference’s scope such as robotics, intelligent alert systems, IoT, remote access control, multi-agent systems, networking, mobile smart systems, crowdsourcing, broadband systems, cloud computing, streaming data and many other applications. ..Research in real-time computing supports decision making in dynamic environments. Some examples include ABS, FBW flight control, automatic air-conditioning, etc. Intelligent computing relies heavily on artificial intelligence (AI) to make computers act for humans.  The authors are confident that the solutions discussed in this book will provide a unique source of information and inspiration for researchers working in AI, distributed coding algorithms or smart services and platforms, and for IT professionals, who can integrate the proposed methods into their practice..
出版日期Conference proceedings 2019
关键词Intelligent Systems; Real-Time Intelligent Systems; RTIS; RTIS 2017; Iot; Remote Access Control; Multi-Age
版次1
doihttps://doi.org/10.1007/978-3-319-91337-7
isbn_softcover978-3-319-91336-0
isbn_ebook978-3-319-91337-7Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing AG, part of Springer Nature 2019
The information of publication is updating

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Storing RDF Data into Big Data NoSQL Databasesb resources and their metadata. Today a large amount of RDF data is created and is becoming available. The attention of database and semantic Web communities has been shifted to ensure effective and scalable management of RDF data. Several research and solutions have been proposed and realized to ef
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A Review of Scalable Algorithms for Frequent Itemset Mining for Big Data Using Hadoop and Sparkarch space explodes if we feed them with large datasets. This problem is even more obvious when we try to use them on Big Data. Even if a lot of experiences of trying to apply this kind of techniques to Big Data have been done, some of the implementations proved to efficiently scale to large informa
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