会议信息

Mobiquitous 2026: International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

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Mobiquitous
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截稿日期:
2026-05-31
通知日期:
2026-07-31
会议日期:
2026-11-16
会议地点:
Beppu, Japan
届数:
23
CCF: C   ICORE: C   QUALIS: B1   浏览: 45455   关注: 62   参加: 14

会伴指数 (CP-I)

77.8 / 100
全站第 221 名 / 共 5,682 个会议 · 前 4%

人机交互 第 9 / 154 网络与通信 第 34 / 864

学术认可 (35%)
78
投稿选择性 (20%)
85
会议传承 (20%)
86
社区关注 (10%)
65
资料公开度 (15%)
65

用到的输入: 收录等级：CCF C, ICORE C, QUALIS B1 · 录用率：24.1%（有记录的 3 届的均值） · 有据可查的届次：23 · 在会伴关注它的研究者：62 人 · 过去 24 个月打开过本页的研究者：28 人

公开资料里还缺: 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-15

征稿

Mobiquitous 2026 (International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services) is a CCF C / ICORE C / QUALIS B1 conference held in Beppu, Japan on 2026-11-16. The paper submission deadline is 2026-05-31. Acceptance notifications are sent on 2026-07-31.

Scope The goal of the 23rd EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (EAI MobiQuitous 2026) is to serve as a premier forum for cutting-edge research and forward-looking discussions in the field of Mobile and Ubiquitous Computing. As computing continues to diffuse into every aspect of human environments – through intelligent devices, ambient sensing, context-aware systems, and AI-driven services -new challenges and opportunities emerge that demand fresh perspectives and interdisciplinary approaches. EAI MobiQuitous 2026 brings together a diverse and global community of researchers, practitioners, and visionaries to explore the latest innovations and foundational questions shaping the future of mobile, ubiquitous and pervasive computing. Topics Mobile User Experience Security and Privacy User Behaviour Analysis and Modelling Crowdsourcing – Platforms and Applications Internet of Things – Systems, Platforms, Data Analytics, and Applications Context-awareness middleware Mobile edge and fog computing Urban/mobile Crowd-sensing Participatory Sensing Wireless Access Technologies Performance Analysis, Modelling and Measurement of Mobile Networks Wearable Computing Body Area Networks Cellular IoT 5G and 6G mobility Mobile Data Analysis and Mobile Platforms Mobile Multimedia Mobile User Interfaces and Interaction Technologies Toolkit and Languages for Mobile Computing Networked Sensing and Applications Mobile Device Architectures Mobile Systems and Applications Mobile Data Management and Analytics Energy Aware Mobile Computing Pervasive Sensing Localization and Tracking Activity Recognition Social Network Applications to Mobile Computing Context and Location-based Applications and Services AI and Machine Learning Algorithms and Application for Mobile Computing Mobile Augmented Reality/Mixed Reality Mobile Cloud Computing Digital Twins Edge Intelligence Internet of Vehicles Formal Verification for Mobile and Ubiquitous System Federated Learning Blockchain Applications to Mobile and Ubiquitous Computing
由 Dou Sun 最后更新于

录用率

平均录用率: 24.1% 3 年间 (2006–2011).

年份提交数录用数录用率(%)
2011852731.8%
20071192722.7%
20061071917.8%

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