Special Issue on "hybrid intelligence for growing internet and its applications"

Neil Y. Yen, Qun Jin, Ching Hsien Hsu, Qiangfu Zhao

    Research output: Contribution to journalArticle

    Abstract

    The 2014 Special Issue of Future Generation Computer Systems is based on 'Hybrid intelligence for growing Internet and its applications'. The first paper highlights the growing needs of healthcare service provision for the elderly under a matured cloud-based environment. It particularly considers the issue in geriatric healthcare in non-adherence to medication regimens especially among those elderly patients who live alone. Another paper discusses the issues of scalable computing and storage capability in a cloud-empowered Internet environment. Integrating QoS awareness towards better requirement of user application development and interference reduction of virtual machine in a cloud-based system is particularly concentrated. Another paper places the emphasis on mining and annotating a semantic relation between data entities on the Internet with temporal, concise, and structured information.

    Original languageEnglish
    Pages (from-to)401-403
    Number of pages3
    JournalFuture Generation Computer Systems
    Volume37
    DOIs
    Publication statusPublished - 2014

    Fingerprint

    Internet
    Geriatrics
    Quality of service
    Computer systems
    Semantics
    Virtual machine

    ASJC Scopus subject areas

    • Hardware and Architecture
    • Software
    • Computer Networks and Communications

    Cite this

    Special Issue on "hybrid intelligence for growing internet and its applications". / Yen, Neil Y.; Jin, Qun; Hsu, Ching Hsien; Zhao, Qiangfu.

    In: Future Generation Computer Systems, Vol. 37, 2014, p. 401-403.

    Research output: Contribution to journalArticle

    Yen, Neil Y. ; Jin, Qun ; Hsu, Ching Hsien ; Zhao, Qiangfu. / Special Issue on "hybrid intelligence for growing internet and its applications". In: Future Generation Computer Systems. 2014 ; Vol. 37. pp. 401-403.
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