会议信息

UEMCON 2026: IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference

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UEMCON
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截稿日期:
2026-08-09
通知日期:
2026-08-26
会议日期:
2026-10-07
会议地点:
New York City, USA
届数:
浏览: 24034   关注: 5   参加: 0

会伴指数 (CP-I)

54.5 / 100
全站第 888 名 / 共 5,687 个会议 · 前 16%

电气与电子工程 第 30 / 510 人机交互 第 41 / 154 网络与通信 第 120 / 864

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
78
社区关注 (10%)
32
资料公开度 (15%)
55

用到的输入: 有据可查的届次：17 · 在会伴关注它的研究者：5 人 · 过去 24 个月打开过本页的研究者：6 人

公开资料里还缺: 历年录用率 (+4.5) · 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 45% —— 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 2026-09-25

征稿

UEMCON 2026 (IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference) is an academic conference held in New York City, USA on 2026-10-07. The paper submission deadline is 2026-08-09. Acceptance notifications are sent on 2026-08-26.

Topics and technical areas of interest include but are not limited to the following: Part I: Artificial Intelligence & ML 1. Core AI Algorithms & Deep Learning Foundations Algorithmic Frameworks: Applied Machine Learning, fundamental AI algorithms, and optimization modeling. Neural Architectures: Deep AI Learning, neural networks, and embedded neural networks for real-time analytics. 2. Next-Gen Foundation Models & Multimodal AI Advanced Modeling: Next-gen foundation models and multimodal AI architectures, Natural Language & Interaction. Next-generation AI paradigms and emerging intelligent technologies. 3. Edge AI & Distributed Intelligence Decentralized Learning: Federated learning in ubiquitous networks. Behavioral AI: AI for human behavior prediction, context-aware adaptation, and real-time analytics. Distributed Systems: Intelligent edge nodes and distributed learning architectures. 4. Applied AI, Governance, and Responsible Deployment (Integrated Track) Healthcare & Life Sciences: AI in Biomedicine, clinical healthcare systems, and Bioinformatics. Physical & Environmental Sciences: AI for photonics/optical computing, and AI in Climate Change mitigation. Socio-Educational Systems: Smart scheduling/optimization, and AI in Education. Safety & Alignment: AI alignment, safety protocols, and model interpretability. Part II: Advanced Computing, IoT, & Systems 1. IoT Architecture, Protocols, & Security System : IoT System Architecture, IoT enabling technologies, and basic IoT Architectures & Protocols. Networking & Transport: IoT Protocols and Transports. System Integrity: Hardware-level and network-level Security for IoT. 2. Ubiquitous & Pervasive Computing Ambient Environments: Ubiquitous and Pervasive Computing Systems, context-aware systems. Infrastructure: Middleware for pervasive systems and ubiquitous sensor networks. 3. Embedded Systems & Edge Infrastructure Hardware Engineering: Real-time embedded systems in daily life and software engineering for IoT/IoE (Internet of Everything). Edge Computing: Edge computing frameworks for latency-sensitive applications. Hardware Efficiency: Ultra-low power electronics for always-on, constrained devices. 4. Energy-Aware & Sustainable Computing Green Hardware: Energy harvesting for ubiquitous devices and sustainable materials in consumer electronics. Green Infrastructure: Green cloud and fog computing for mobile ecosystems. Efficient Networking: Low-power wireless communication protocols. 5. Next-Gen Infrastructure, Consumer Devices & UX Enterprise Systems: Cloud Computing and Data Center Systems. Smart Spaces: IoT-based smart homes/cities and cross-device orchestration. Human-Computer Interaction (HCI): Next-Gen consumer devices, ambient displays, seamless interfaces, context-aware UX/UI design, and AR integration.
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