会议信息

AIoT 2025: IEEE Annual Congress on Artificial Intelligence of Things

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AIoT
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截稿日期:
2025-08-20 Extended
通知日期:
2025-10-03
会议日期:
2025-12-03
会议地点:
Osaka, Japan
届数:
3
浏览: 14553   关注: 1   参加: 0

会伴指数 (CP-I)

42.1 / 100
全站第 4,124 名 / 共 5,682 个会议 · 前 73%

人工智能与机器学习 第 531 / 739

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%)
37
社区关注 (10%)
19
资料公开度 (15%)
35

用到的输入: 有据可查的届次：3 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：4 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 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 2026-09-17

征稿

AIoT 2025 (IEEE Annual Congress on Artificial Intelligence of Things) is an academic conference held in Osaka, Japan on 2025-12-03. The paper submission deadline is 2025-08-20 (extended). Acceptance notifications are sent on 2025-10-03.

IEEE AIoT 2025 aims at bringing together interested parties (universities, research centers, industries and stakeholders) from around the world working in the fields of AI and Internet of Things to exchange opinions, discuss brand-new ideas, developing innovative and emerging solutions, and establishing new collaborations. Scope and Objectives Artificial Intelligence (AI) and the Internet of Things (IoT) are two of the most rapidly evolving and interdependent fields of technology. The convergence of these two fields is leading to the creation of an emerging interdiscipline field, dubbed the Artificial Intelligence of Things (AIoT). The AIoT represents the integration of AI technologies into IoT systems and devices, enabling them to interact with their environment in more sophisticated and intelligent ways. By combining IoT with AI, the data collected by distributed nodes can be utilized by applying AI techniques such as machine learning and deep learning. As a result, machine learning capabilities are moved closer to the data source. The IEEE AIoT Conference aims to explore the integration of artificial intelligence (AI) technologies into the Internet of Things (IoT) systems and devices, enabling them to interact with their environment in more sophisticated and intelligent ways. The conference will focus on the following areas: AIoT Architectures, Frameworks, and Algorithms: Developing novel AIoT architectures, frameworks, and algorithms for deploying state-of-the-art machine learning and deep learning algorithms on IoT and edge devices, realising the so-called Edge AI or Edge Intelligence; AIoT Applications: Identifying and exploring new AIoT applications, including healthcare, smart homes, industrial automation, transportation, and digital agriculture; Standards and Interoperability: Developing standards and protocols for AIoT systems and ensuring interoperability between different platforms and devices; and Ethics and Security: Addressing ethical and security concerns related to AIoT, such as privacy, transparency, and accountability. Authors are cordially invited to submit their original papers within the artificial intelligence of things area. The topics include but are not limited to: Edge Computing and Intelligence in AI and IoT Machine Learning for IoT Applications Mobile deployment of Large Language Models (LLMs) LLMs for AIoT applications Smart Cities: AI and IoT Solutions Security and Privacy in AI-driven IoT Systems 5G and its Impact on AI and IoT Blockchain Technology for Securing IoT Devices Human-Machine Interaction in IoT Environments IoT Sensors and Actuators: Innovations and Advances AI-driven Predictive Maintenance in IoT Energy-Efficient AI Algorithms for IoT Devices IoT in Healthcare: Applications and Challenges Industrial IoT (IIoT) and AI for Manufacturing Smart Agriculture: AI and IoT in Precision Farming Ethical Considerations in AI-powered IoT Systems IoT Standards and Interoperability Robotic Process Automation (RPA) in IoT AI-driven Automation in Supply Chain Management IoT Analytics and Big Data Processing AI in Edge Devices: Challenges and Solutions Wireless Sensor Networks in AI and IoT IoT for Environmental Monitoring and Sustainability AI and IoT in Transportation and Logistics Cross-domain Integration of AI and IoT Technologies
由 Dou Sun 最后更新于

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相关期刊

CCF全称影响因子出版商ISSN
AIEEE Transactions on Multimedia9.7IEEE1520-9210
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BSoftware & Systems Modeling3.2Springer1619-1366
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CFuture Generation Computer Systems5.9Elsevier0167-739X
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