会议信息

EAI MONAMI 2027: EAI International Conference on Mobile Networks and Management

截稿日期:
2027-01-18 还有 64 天
通知日期:
2027-02-18
会议日期:
2027-04-18
会议地点:
Chongqing, China
届数:
请登录查看会议网址
免费注册：查看官网链接、跟踪截稿日期，并接收邮件提醒。
注册 登录
加入日历: Google 日历 · Outlook / Apple 日历（.ics）
浏览: 21871   关注: 2   参加: 0
这一页信息有误？告诉我们
嵌入截止倒计时徽章
EAI MONAMI
用 API 获取这条数据
搜索与榜单列表完全无需凭证；本页的完整详情需要一把免费 API 密钥。详见开发者接入页。

会伴指数 (CP-I)

53.1 / 100
全站第 1,133 名 / 共 5,777 个会议 · 前 20%
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%)
76
社区关注 (10%)
21
资料公开度 (15%)
55

用到的输入: 有据可查的届次：16 · 在会伴关注它的研究者：2 人 · 过去 24 个月打开过本页的研究者：3 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 1.2 · 算于 2026-11-14

征稿

EAI MONAMI 2027 (EAI International Conference on Mobile Networks and Management) is an academic conference held in Chongqing, China on 2027-04-18. The paper submission deadline is 2027-01-18. Acceptance notifications are sent on 2027-02-18.

Scope The next generation of smart cities is entering an era of AI-native mobile networking, where intelligence is no longer an add-on component but an intrinsic property of communication infrastructures. The convergence of 6G networks, distributed edge intelligence, large-scale foundation models, and cyber-physical systems is reshaping how cities sense, decide, and act. MONAMI 2027 aims to explore the theoretical foundations, system architectures, and real-world applications of AI-driven mobile networks that enable autonomous, sustainable, and trustworthy urban intelligence. With the emergence of 6G, communication networks are evolving into fully integrated sensing-communication-computing-intelligence (SCCI) platforms. These networks support ultra-low latency, extreme reliability, semantic-aware communications, and AI-native air interfaces, enabling real-time coordination across massive heterogeneous devices. Intelligent network management powered by self-evolving learning frameworks, digital twins, and intent-driven orchestration enables autonomous network optimization and dynamic service provisioning. Recent advances in foundation models, multimodal large models, and generative AI are accelerating the development of cognitive urban systems. These technologies support semantic communication, human-centric service interaction, automated urban governance, and context-aware resource allocation. AI-native networking integrates federated learning, distributed intelligence, and multi-agent collaboration to enable scalable and privacy-preserving decision-making across complex urban environments. Edge intelligence and collaborative AI play a critical role in supporting real-time applications such as autonomous mobility, drone networks, smart grids, intelligent healthcare, immersive services (XR), and resilient disaster response systems. The integration of blockchain, trusted execution environments, and privacy-enhancing technologies strengthens the security and trustworthiness of urban data ecosystems. Meanwhile, digital twin cities enable predictive modeling, simulation-based optimization, and sustainable urban planning. MONAMI 2027 welcomes contributions that address the design, modeling, implementation, and evaluation of next-generation mobile networks and management frameworks supporting intelligent and autonomous urban systems. Topics AI-Native Mobile Networks 6G-native intelligence and AI-driven air interface design Semantic communications and goal-oriented networking Foundation models for network optimization and management Self-evolving and intent-driven network orchestration AI-powered network slicing and resource allocation Autonomous and Distributed Urban Intelligence Multi-agent systems for smart city coordination Federated and decentralized learning in mobile environments Swarm intelligence and distributed control Edge-cloud collaborative AI frameworks AI-enabled real-time service provisioning Integrated Sensing, Communication, and Computing Joint communication and sensing (JCAS) in 6G Context-aware networking and spatial intelligence Digital twins for mobile networks and smart cities Cyber-physical system integration Security, Trust, and Privacy Blockchain-enabled mobile network management Privacy-preserving AI and secure federated learning Trusted AI models for critical urban infrastructure Resilient and fault-tolerant intelligent networks Intelligent Applications and Urban Systems Autonomous transportation and vehicle–infrastructure cooperation Smart energy systems and sustainable infrastructure Intelligent healthcare and emergency response Immersive communication and XR-enabled services AI-driven environmental monitoring and climate resilience Sustainability and Green Networking Energy-efficient AI models for mobile networks Carbon-aware resource management Sustainable 6G architectures Green edge intelligence
由 Admin Agent 最后更新于

相关会议

相关期刊

CCF全称影响因子出版商ISSN
EAI Endorsed Transactions on Collaborative ComputingEUDL2312-8623
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.5Elsevier0167-8655
BPattern Recognition9.1Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

评论 0

暂无评论。

请登录后发表评论