Conference Information

Smart X 2017: International Conference on Smart X

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Submission Date:
2017-04-30 Extended
Notification Date:
2017-05-20
Conference Date:
2017-07-21
Location:
Guangzhou, China
Viewed: 16722   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.1 / 100
Ranked #4,154 of 5,687 conferences · Top 74%
Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-29

Call For Papers

Smart X 2017 (International Conference on Smart X) is an academic conference held in Guangzhou, China on 2017-07-21. The paper submission deadline is 2017-04-30 (extended). Acceptance notifications are sent on 2017-05-20.

With the rapid development of information technology and computer science, the human society is becoming smarter. In the intelligent society, anything that can assist to solve the current challenges in business, industry, science, daily life etc., can refer to ‘Smart X’. Smart X includes smart city, smart home, smart grids, smart building, smart forest, smart geosciences, and smart computing, etc. Smart X can help human in various dimensions, e.g., better living with better resources, faster and better decision making, more precise future predicting, and quicker response making to challenges in surrounding environments and so on. However, how to implement Smart X? Today, smart techniques, together with the advances in big data and high-performance computing power, offer us big opportunities and transformative potential for intelligent decisions and predictive services. The major challenges we are facing involves extracting valuable knowledge from big data i.e. smart data for smart X, seeking artificial-intelligencetechnologies for smart X, devising virtual-realitytechnologies forsmart X, studying creative computing theories and techniques for Smart X, and designing dynamic and globally cooperative infrastructure built upon Smart X. Smart X also leads to a dramatic paradigm shift in our scientific research towards smart-driven computing. The 2017 IEEE International Conference on Smart X (Smart X 2017) is an international forum for scientists, engineers, and practitionersto present their latest research and development results in all areas of Smart X, Big Data, Artificial Intelligence and Virtual Reality. We solicit submissions which invent new techniques, introduce new methodologies, propose new research directions and discuss approaches for unsolved issues. Topics of interest include, but are not limited to: Track I Smart Systems Smart information processing Smart transportation Data-driven smart city Health informatics in smart cities Internet of things in smart environments Social networking in smart environments Technologies and applications in smart forest Technologies and applications in smart grids Smart geosciences Smart multimedia services Smart spaces Big data and smart data applications Smart data mining Computing medicine Security, privacy and trust in smart systems Track II Artificial Intelligence Technologies Predictive analytic High performance computing Deep learning Deep reasoning Reinforcement learning Multimodal, multi-instance learning Brain-inspired computing Semantic technologies Knowledge graphs Handling uncertainty and incompleteness in big data Data intelligence Security, privacy and trust in big data Track III Virtual Reality Technologies Tracking and sensing Input devices for VR/AR/MR Advanced display technology Immersive projection technology Haptics, audio, and other non-visual interfaces Modeling and simulation Computer graphics techniques for VR/AR/MR Virtual humans and avatars Multi‐user and distributed VR/AR/MR VR systems and toolkits 3D interaction for VR/AR/MR 3D selection and 3D manipulation Locomotion and navigation in virtual environments User studies and evaluation Perception, presence, virtual embodiment, and cognition Teleoperation and telepresence Applications of VR/AR/MR
Last updated by Dou Sun on

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