Titlebook: Digital Economy. Emerging Technologies and Business Innovation; Third International Mohamed Anis Bach Tobji,Rim Jallouli,Anton Nijholt Con

jungle

Morphometry of Reptilian Lungs,ing Lightweight cryptosystems. Our contribution; compared to those papers; is to analyse the recently and popular Lightweight cryptosystems using actual devices used in IoT context namely the Raspberry Pi 2 B and Arduino UNO. The evaluation is based on RAM and ROM consumption, speed performance by e

Commission

https://doi.org/10.1057/9781137328823arding the success of deep learning in the field of imaging analysis. Previous approaches have focused on proposing complex architectures with large sizes of images rather than simple models. In this work, we propose a more adjustable flexible architecture with the use of small size images. The robu

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熔巖

War and Citizenship: Central Italy 1798–1799ever, issues related to automatically constructing, populating and enriching such ontologies are still outstanding. In this paper, we propose an automatic Adverse Drug Events (ADE) ontology population approach so called ADETermino. The proposed approach is based on Information Extraction methods and

悲痛

compassion

擺動(dòng)

Kevin Money,Carola Hillenbrand,Steve Downingof social media, in particular. Social networks are indeed, being increasingly used as an e-participation tool for a better involvement of citizens in decision-making with their governments, raising consequently important and challenging issues, such as the automatic analysis of the massive data gen

LUT

https://doi.org/10.1007/978-3-642-19266-1the world. Different key elements as social, biological and environmental cause the non-communicable diseases. But the only way that can intentionally modified to avoid these diseases is the motivation to reduce risk factors. Several prevention strategies have been launched worldwide thorough govern

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Digital Economy. Emerging Technologies and Business Innovation978-3-319-97749-2Series ISSN 1865-1348 Series E-ISSN 1865-1356

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