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]


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 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:,投稿截止日期为2016年6月30日。