会议信息

RACS 2026: International Conference on Resilient, AI and Cyber-Systems

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截稿日期:
2026-06-12
通知日期:
2026-08-14
会议日期:
2026-11-17
会议地点:
Fukuoka, Japan
浏览: 39985   关注: 3   参加: 0

会伴指数 (CP-I)

49.2 / 100
全站第 1,691 名 / 共 5,650 个会议 · 前 30%

安全与隐私 第 110 / 357

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%)
56
社区关注 (10%)
30
资料公开度 (15%)
50

用到的输入: 有据可查的届次：7 · 在会伴关注它的研究者：3 人 · 过去 24 个月打开过本页的研究者：8 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0)
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 2026-09-04

征稿

RACS 2026 (International Conference on Resilient, AI and Cyber-Systems) is an academic conference held in Fukuoka, Japan on 2026-11-17. The paper submission deadline is 2026-06-12. Acceptance notifications are sent on 2026-08-14.

Aim & Scope RACS 2026 will provide an excellent forum for addressing emerging research challenges in resilient, AI-driven, and cyber-enabled systems. The conference focuses on innovative solutions that enhance the reliability, robustness, intelligence, and security of modern computing infrastructures across industry and scientific domains. It covers research in artificial intelligence, cyber-physical systems, distributed and autonomous systems, security and trusted computing, resilient architectures, edge and cloud computing, data-driven systems, operating systems, networking, and other related areas. Authors are invited to submit original papers in all areas related to the applied computing. Topics include, but are not be limited to, the following areas: - Trustworthy and Reliable AI - Autonomous and Intelligent Systems - Cyber-Physical Systems (CPS) - AI for Cybersecurity - Secure and Privacy-Preserving Computing - Distributed, Edge, and Cloud Computing - Large-Scale and High-Performance Systems - AI-Driven Networking and 5G+ Systems - Internet of Things (IoT) and Smart Systems - Resilient and Fault-Tolerant Systems - Embedded and Real-Time Systems - Digital Twins and Smart Infrastructure - Data-Centric AI and Machine Learning Systems - Explainable and Responsible AI - Blockchain and Decentralized Systems - Mission-Critical and Safety-Critical Systems - Operating Systems and System Software for AI - AI Applications in Industry, Healthcare, and Smart Cities
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