USLab Coorperates with International Colleagues Organizing a SS for IEEE Access (USLab与国际同行合作为IEEE期刊IEEE Access组织一期专刊) [2016-04-02]

发布日期:2016-04-02

USLab is now coorperating with colleagues from Beijing University of Posts and Telecommunications, China, The University of Electro-Communications, Japan, University of Notre Dame, USA, and University of Ljubljana, Slovenia, to organize a special section (SS) on Big Data Analytics for Smart And Connected Health for IEEE Access journal (SCI indexed). Interested colleagues may refer to
https://www.ieee.org/publications_standards/publications/ieee_access/SSA_big_data_analytics_smart_and_connected_health.pdf for the CFP details. Manuscript submission deadline is June 30, 2016.

Topics of interest include but not limited to:
• New protocols and interfaces for integration/distribution of newly arrived data
• Outlier detection algorithms for big data mining
• New approach to tackle large-scale bioinformatics classification problems
• Energy efficient data analytics scheme for high dimensional data
• Cloud computing and infrastructure for eHealth
• Machine learning frameworks designed on top of big data technologies
• Predictive models gaining valuable knowledge from big data
• Information diffusion models and methods
• Large stream data mining techniques on users’ historical data
• Optimize resource usage and energy consumption when executing the analytics application
• Typical mobile database management tools
• Novel applications and case studies for healthcare based on smart and mobile devices
• Big data privacy preservation in cloud environment
• Health management models for big data


     USLab与来自北京邮电大学 、日本The University of Electro-Communications大学、美国University of Notre Dame和斯洛文尼亚University of Ljubljana的同行合作,正在为IEEE的IEEE Access期刊(SCI刊源)组织一期专刊:面向智能与连接医疗的大数据处理。感兴趣的同行可以参阅具体的征文通知:
https://www.ieee.org/publications_standards/publications/ieee_access/SSA_big_data_analytics_smart_and_connected_health.pdf ,投稿截止日期为2016年6月30日。