Wireless Communications and Mobile Computing

Mobile Intelligence Assisted by Data Analytics and Cognitive Computing


Status
Published

Lead Editor
Guest Editors

1Zhongnan University of Economics and Law, Wuhan, China

2Kyushu Institute of Technology, Kitakyushu, Japan

3National University of Sciences and Technology, Islamabad, Pakistan


Mobile Intelligence Assisted by Data Analytics and Cognitive Computing

Description

We are entering an era of big data analysis and cognitive computing. This trendy movement is observed by the pervasive use of mobile phones, storage and cloud computing, revival of artificial intelligence in practice, extended supercomputer applications, and widespread deployment of mobile devices. Although mobile devices have emerged with a great potential to change our life especially with wireless communications and mobile computing, data analytics and cognitive computing will make it possible to understand what is happening in the world more deeply.

Therefore, data analytics and cognitive computing are significant for mobile intelligence to meet many technical challenges and problems that need to be addressed to realize this potential, such as big mobile data generation and integration of multiple data sources and types. Furthermore, the mobile ecosystems have to be upgraded with new capabilities such as machine learning, data analytics, and cognitive power for providing human intelligence.

This special issue aims to explore recent advances and disseminate state-of-the-art research related to mobile intelligence on designing, building, and deploying novel technologies, to enable intelligent mobile services and applications. Submissions are encouraged to cover a broad range of topics.

Potential topics include but are not limited to the following:

  • Mobile intelligence architecture, infrastructure, and applications
  • Multimodal data fusion for mobile computing
  • Contextual mobile data management and mining platforms
  • Data analytics for mobile systems
  • Cognitive computing, affective computing, and machine learning for mobile systems
  • Intelligent and interactive interface for mobile systems
  • Privacy protected discovery and adaptation in mobile intelligence
Wireless Communications and Mobile Computing
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 Journal metrics
Acceptance rate33%
Submission to final decision81 days
Acceptance to publication37 days
CiteScore2.900
Impact Factor1.819
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