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Titlebook: Ubiquitous Computing and Ambient Intelligence; 10th International C Carmelo R. García,Pino Caballero-Gil,Alexis Quesad Conference proceedin

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書目名稱Ubiquitous Computing and Ambient Intelligence
副標(biāo)題10th International C
編輯Carmelo R. García,Pino Caballero-Gil,Alexis Quesad
視頻videohttp://file.papertrans.cn/941/940227/940227.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Ubiquitous Computing and Ambient Intelligence; 10th International C Carmelo R. García,Pino Caballero-Gil,Alexis Quesad Conference proceedin
描述This LNCS double volume LNCS 10069-10070 constitutes the refereed proceedings of the 10th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2016, which includes the International Work Conference on Ambient Assisted Living (IWAAL), and the International Conference on Am-bient Intelligence for Health (AmIHEALTH), held in Las Palmas de Gran Canaria, Spain, in November/December 2016.?.The 69 full papers presented together with 40 short papers ?and 5 doctoral consortium papers were carefully reviewed and selected from 145 submissions..?.UCAmI 2016 is focused on research topics related to ambient assisted living, internet of things, smart cities, ambient intelligence for health, human-computer interaction, ad-hoc and sensor networks, and security..
出版日期Conference proceedings 2016
關(guān)鍵詞cloud computing; data mining; genetic algorithms; human computer interaction; machine learning
版次1
doihttps://doi.org/10.1007/978-3-319-48799-1
isbn_softcover978-3-319-48798-4
isbn_ebook978-3-319-48799-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2016
The information of publication is updating

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Francisco-Angel Moreno,Cipriano Galindo,Javier Gonzalez-Jimenezcience in general, our knowledge of human behavior in fire is growing, but is still characterized by uncertainties that are traceable to both limitation in the science and unfamiliarity by the user communities.978-3-319-94697-9
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The Intelligent Environment Experiment Assistance Tool to Facilitate Partial Environment Simulation es an insight into the prevalence, type and impact of limitations in physical IE usage. Additionally, 84.3?% of the researchers stated that the real-time annotation would be very useful or quite useful, and 52.6?% stated that the partial simulation component would be very useful or quite useful.
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e insights to facilitate our understanding for their roles in tumorigenesis (Table 3.4). As stated in previous chapters, given the fact that physiological evidence (mouse modeling results) is considered as the strongest supportive data to implicate any given F-box protein in tumorigenesis (Tables 3.
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