会议信息

ATC 2026: IEEE International Conference on Autonomous and Trusted Computing

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ATC
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截稿日期:
2026-05-31 Extended
通知日期:
2026-07-01
会议日期:
2026-09-07
会议地点:
Rende, Italy
届数:
23
ICORE: C   浏览: 47475   关注: 12   参加: 4

会伴指数 (CP-I)

56.9 / 100
全站第 741 名 / 共 5,693 个会议 · 前 13%

机器人与控制 第 22 / 470

学术认可 (35%)
58
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
86
社区关注 (10%)
42
资料公开度 (15%)
35

用到的输入: 收录等级：ICORE C · 有据可查的届次：23 · 在会伴关注它的研究者：12 人 · 过去 24 个月打开过本页的研究者：9 人

公开资料里还缺: 历年录用率 (+4.5) · 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 80% —— 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 2026-10-02

征稿

ATC 2026 (IEEE International Conference on Autonomous and Trusted Computing) is a ICORE C conference held in Rende, Italy on 2026-09-07. The paper submission deadline is 2026-05-31 (extended). Acceptance notifications are sent on 2026-07-01.

The rapid expansion of intelligent technologies, large-scale AI models, and interconnected cyber-physical-social systems is transforming the way people, devices, and environments interact. As autonomy becomes deeply embedded in critical infrastructure, transportation, industry, healthcare, and smart cities, ensuring that these systems remain reliable, secure, transparent, and resilient becomes a central challenge. The 23rd IEEE International Conference on Autonomous and Trusted Computing (ATC 2026) continues its tradition as a leading international forum on autonomous and trustworthy systems. With ongoing advances in sensing technologies, intelligent computing, AI-driven decision-making, and human-machine cooperation, ATC 2026 will provide a premier venue to present and discuss progress in autonomous computing, trustworthy AI, dependable systems, and cyber-physical-social environments. ATC 2026 will feature a highly selective technical program, complemented by workshops, panels, demonstrations, and keynote speeches. We welcome high-quality submissions reporting original and unpublished research that advances the state of the art in autonomous and trusted computing and identifies emerging challenges and future research directions. Topics of Interest The topics include (but are not limited to): Trustworthy, Explainable, Secure and Responsible AI Systems Privacy-Preserving Learning, Distributed AI, and Machine Unlearning Resilient and Fault-Tolerant Autonomous Systems Data Fusion, Uncertainty Modeling, and Environmental Modeling Conceptual and Computational Aspects of Situational Awarenes Multimodal Reasoning and Decision-Making for Autonomous Systems Intelligent Control and Reinforcement Learning Real-Time, Edge, and Self-Aware Computing Autonomous and Cyber-Physical-Social Systems Human-Centered and Collaborative AI Systems Multi-Agent, Collective, and Swarm Autonomous Systems Safe, Cooperative, and Multi-Domain Autonomous Mobility Systems
由 Dou Sun 最后更新于

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