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AIoT 2025: IEEE Annual Congress on Artificial Intelligence of Things

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投稿締切日:
2025-08-20 締切済み
通知日:
2025-10-03
開催日:
2025-12-03
開催地:
Osaka, Japan
開催回数:
3
閲覧: 14869   フォロー: 1   参加: 0
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AIoT
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会伴インデックス (CP-I)

42.1 / 100
全 5,764 件中 第 4,236 位 · 上位 74%

人工知能・機械学習 分野 752 件中 第 551 位

学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
37
コミュニティの注目度 (10%)
19
公開情報の充実度 (15%)
35

使用した入力: 確認できる開催回数:3 · 会伴でフォローしている研究者:1 人 · 過去 24 か月にこのページを開いた研究者:4 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
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信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.2 · 算出日 2026-11-01

論文募集

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
最終更新:Dou Sun()

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
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 Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

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