会议信息

BDAI' 2021: International Conference on Industrial Applications of Big Data and Artificial Intelligence

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截稿日期:
2021-03-20
通知日期:
2021-04-25
会议日期:
2021-09-23
会议地点:
Wuhan, China
届数:
3
浏览: 16458   关注: 7   参加: 0
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BDAI'
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会伴指数 (CP-I)

41.5 / 100
全站第 4,749 名 / 共 5,695 个会议 · 前 84%

数据挖掘与数据库 第 278 / 336 人工智能与机器学习 第 601 / 741

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%)
28
资料公开度 (15%)
25

用到的输入: 有据可查的届次：3 · 在会伴关注它的研究者：7 人 · 过去 24 个月打开过本页的研究者：2 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 2026-10-10

征稿

BDAI' 2021 (International Conference on Industrial Applications of Big Data and Artificial Intelligence) is an academic conference held in Wuhan, China on 2021-09-23. The paper submission deadline is 2021-03-20. Acceptance notifications are sent on 2021-04-25.

BDAI 2021 is the premier interdisciplinary forum for the presentation of new advances and research results in the fields of Big Data and Artificial Intelligence. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. AI, Machine Learning and Big Data AI Algorithms, Artificial Intelligence tools & Applications, Bioinformatics, Natural Language Processing, CAD Design & Testing, Computer Vision and Speech Understanding, Data Mining and Machine Learning Tools, Fuzzy Logic, Heuristic and AI Planning Strategies and Tools, Computational Theories of Learning, Hybrid Intelligent Systems, Information Retrieval, Intelligent System Architectures, Performance optimization of machine learning algorithms, Programming models and tools for machine learning, Machine learning model compression algorithms, Hardware-aware machine learning model synthesis, Power-efficient algorithms for machine learning, Specialized hardware architecture for machine learning, Machine learning based performance tuning, Machine learning based compiler techniques, Machine learning based power efficient algorithms. Data Science for Bio-based Production Knowledge management, Big data governance, Data- and prosperity-driven innovation, Smart tourism, Productivity 4.0, Industry 4.0, Manufacturing 4.0, Semantic mapping, Exponential leadership, Software robots, Wearable technology, Wisdom governance, Management revolution, Science as evidence, Organisational agility, Folksonomy, Next generation enterprise, Floppy drones, Smart education, Solving the climate change, Smart agriculture, Ethics in artificial intelligence, Cyber attacks and cyber neutrality, Industrial Internet of Things. Blockchain technology Industry 4.0 & Robotics Additive Manufacturing, The Digital Twin of Production, Industrial Biotechnology.
由 Dou Sun 最后更新于

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