Special Section on Mobile Intelligence for Sustainable Enterprise Management
摘要截稿:
全文截稿: 2020-01-25
影响因子: 2.663
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:硬件 - 3区
• 小类 : 计算机:跨学科应用 - 3区
• 小类 : 工程:电子与电气 - 3区
Overview
Mobile Intelligence Research focuses on applications of elements of intelligence to different areas, including automatic control, pattern recognition, electronic and mobile commerce, e-finance, e-payment, telecommunications, vision, forecasting, learning, data communication, and wireless optimization. Future e-commerce industry as a whole is experiencing a huge increase in the use of data driven intelligent computing that goes way beyond what we imagined ten years ago. Mobile intelligence is manifested in many different ways, including our abilities to modeling, analysis, integration, monitoring, and management interact with business environment. Mobile data is being collected in different formats, at unprecedented speeds, and from many different sources. There are increasingly complex challenges, with a need to leverage large amounts of heterogeneous data to develop computational intelligence solutions for process optimizations, monitoring, and control applications. Design of the tools imitating human abilities is important task of Mobile Intelligence. such as healthcare and neuroscience, design and art, Internet of Things, computer vision and speech processing, imaging and 3D data, education and learning, climate, economy and finance.
This special section focuses on high quality research papers that address significant and Future Mobile Intelligence application and related system development issues in the emerging sustainable wireless applications. It invites high quality research contributions from a wide range of professions, including scholars, researchers, academicians and industry people. Original research papers and state of the art reviews will be accepted. We anticipate that the special section will open new entrance for further research and technology improvements in this important area.
Suggested topics include:
Mobile enterprise modeling: supervised, unsupervised and reinforcement learning
Evolutionary computation, wireless modeling and simulation
Development of new technologies for mobile intelligence and large-scale wireless analysis.
Uncertainty modeling in big data analytics for mobile intelligence
Providing solutions to pressing problems across areas including connected and autonomous vehicles, automation, healthcare, and enterprise security.
Bridge developments in Artificial Intelligence to real mobile applications in collaboration with industry partners.
New generation of scientists to address the skills shortage in these areas and increase competitiveness
Complex systems, multi-agent systems, game theory and statistics