Titlebook: Ambient Intelligence and Future Trends -; International Sympos Juan Carlos Augusto,Juan M. Corchado,Cesar Analide Conference proceedings 20

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书目名称Ambient Intelligence and Future Trends -影响因子(影响力)




书目名称Ambient Intelligence and Future Trends -影响因子(影响力)学科排名




书目名称Ambient Intelligence and Future Trends -网络公开度




书目名称Ambient Intelligence and Future Trends -网络公开度学科排名




书目名称Ambient Intelligence and Future Trends -被引频次




书目名称Ambient Intelligence and Future Trends -被引频次学科排名




书目名称Ambient Intelligence and Future Trends -年度引用




书目名称Ambient Intelligence and Future Trends -年度引用学科排名




书目名称Ambient Intelligence and Future Trends -读者反馈




书目名称Ambient Intelligence and Future Trends -读者反馈学科排名

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Advances in Intelligent and Soft Computinghttp://image.papertrans.cn/a/image/154361.jpg

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IST

https://doi.org/10.1007/978-3-531-90206-7earning users’ frequent behaviours is essential to provide such personalized services. In that sense, we have developed a system, which learns those frequent behaviours. Due to the complexity of the entire learning system, this paper will focus on discovering accurate temporal relationships to define the relationships between actions of the user.

ETCH

https://doi.org/10.1007/978-3-531-90206-7rent depending on the individual characteristics. In this paper we present an architecture that intends to combine agent technology with computational models of personality and emotion, within an ubiquitous learning system that is able to support the learning process among a group of students coordinated by an instructor.

Encapsulate

https://doi.org/10.1007/978-3-531-90206-7ce includes autonomic operations in order to define the status of industry facilities. Furthermore, information analysis based on IT used to frequently data mining for detecting the meaningful information and deriving new pattern. This paper suggests decision method by analyzing automatically the st

令人作呕

https://doi.org/10.1007/978-3-531-90206-7e facility. The use of RFID and NFC technologies allows remote monitoring and identification of patients, and makes it possible for them to receive treatment according to preventative medical protocol. The proposed multi-agent system manages the infrastructure of services within the environment both

invade

https://doi.org/10.1007/978-3-531-90206-7earning users’ frequent behaviours is essential to provide such personalized services. In that sense, we have developed a system, which learns those frequent behaviours. Due to the complexity of the entire learning system, this paper will focus on discovering accurate temporal relationships to defin

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