会议信息

AIBThings 2026: International Conference on Artificial Intelligence, Blockchain, and Internet of Things

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AIBThings
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截稿日期:
2026-06-30
通知日期:
2026-07-30
会议日期:
2026-09-05
会议地点:
Mount Pleasant, Michigan, USA
届数:
4
浏览: 1036   关注: 0   参加: 0

会伴指数 (CP-I)

42.8 / 100
全站第 3,718 名 / 共 5,645 个会议 · 前 66%

安全与隐私 第 230 / 357 人工智能与机器学习 第 463 / 734 网络与通信 第 580 / 861

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%)
43
社区关注 (10%)
13
资料公开度 (15%)
35

用到的输入: 有据可查的届次:4 · 过去 24 个月打开过本页的研究者:5 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 2026-09-01

征稿

AIBThings 2026 (International Conference on Artificial Intelligence, Blockchain, and Internet of Things) is an academic conference held in Mount Pleasant, Michigan, USA on 2026-09-05. The paper submission deadline is 2026-06-30. Acceptance notifications are sent on 2026-07-30.

Topics of Interest Topics of interest include but not limited to the following: Track - 1: Blockchain Technologies Blockchain for Internet of Things Blockchain for Cyber Physical Services Blockchain for Social Media Platforms Blockchain and Artificial Intelligence Smart Contracts and Verification Security, Privacy, Attacks, and Forensics Decentralized Internet Infrastructure Blockchain-based Digital Twins For Parallel Governance Blockchain-based Digital Twins For Cyber Resilient Auto Industry Open-Source Platforms For Implementing Blockchain Sustainable Blockchain-Based Digital Twins Manufacturing Key Technologies of Blockchain Architectures and Platforms For Blockchain Blockchain Standardization Issues Platforms for Smart Contracts Anonymity and Privacy In Blockchain 4th and 5th Generation Blockchain Track - 2: Artificial Intelligence Deep Learning, Machine Learning, and AI Algorithms Machine Learning and Data Mining Natural Language Processing Deep/ Reinforcement Learning Decision Support Systems Genetic Algorithms and Swarm Optimization Application of AI in Big Data Explainable Artificial Intelligence and Intelligent Systems Intelligent Transportation Systems Human-Machine Interaction Business Intelligence and Data Analytics AI in Robotics Image processing and Computer Vision Circuits and Systems for AI Medical Image Processing Supervised and Unsupervised Techniques AI for Remote Sensing and related Applications Track – 3: Internet of Things Energy Harvesting and Wireless Power Transfer Green Communication and Networking IoT Services and Applications Digital Twins in IoT Applications Security and Privacy for IoT IoT Architecture and Middleware Context-Awareness and Location-Awareness Networking and Communication Protocols Machine to Machine Communications Energy Efficiency in IoT Internet of Medical Things Smart Sensor Networks and Embedded System Circuits and Systems for IoT Track – 4: Generative AI and Application Unsupervised Learning with VAEs Diffusion Models for Image Synthesis Next-Gen Text Generation with Transformers Generative Models in Drug Discovery Reinforcement Learning and Generative Models Retrieval Augmented Generation Synthetic Data for Privacy Enhancement Scalability and Efficiency in Generative Models Multi-Modal Generative Models 3D Modeling and Animation with Generative AI Generative Models for Anomaly Detection Generative AI in Fashion and Design Ethical Issues in Gen AI Cross-Domain Generative Models
Dou Sun 最后更新于

相关期刊

CCF全称影响因子出版商ISSN
BlockchainELSP2959-1260
CIEEE Internet of Things Journal8.9IEEE2327-4662
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

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