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ITNG 2027: International Conference on Information Technology - New Generations

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截稿日期:
2026-10-30 已截稿
通知日期:
2026-12-11
会议日期:
2027-04-11
会议地点:
Las Vegas, Nevada, USA
届数:
浏览: 25852   关注: 5   参加: 0
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会伴指数 (CP-I)

55.8 / 100
全站第 827 名 / 共 5,764 个会议 · 前 15%
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%)
87
社区关注 (10%)
28
资料公开度 (15%)
55

用到的输入: 有据可查的届次：24 · 在会伴关注它的研究者：5 人 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 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 1.2 · 算于 2026-11-03

征稿

ITNG 2027 (International Conference on Information Technology - New Generations) is an academic conference held in Las Vegas, Nevada, USA on 2027-04-11. The paper submission deadline is 2026-10-30. Acceptance notifications are sent on 2026-12-11.

Symposia and Tracks The following tracks have been organized: AI and Robotics Multimodal Artificial Intelligence and Intelligent Agents Machine Learning: Theory and Applications Generative Artificial Intelligence and Its Applications Cybersecurity, Ping Wang, Robert Morris University Applications, Challenges and Opportunities in Blockchain Technology, Kashif Saleem, Center of Excellence in Information Assurance(CoEIA), King Saud University, KSA Amjad Gawanmeh, University of Dubai, UAE Ridha Ouni, King Saud University, KSA Farrukh Aslam Khan, King Saud University, KSA Data Science, Wilson Cristoni NetoLuiz Alberto Vieira Dias, ITA, Brazil Data Mining and Data Quality, Ray Tyler-Hashemi, Armstrong State University, USA John R. Talburt, University of Arkansas at Little Rock Azita Bahrami, IT Consultation, USA Human-Computer Interaction (HCI) and Video Game Experience, Farjana Eishita, Idaho State University, USA E-Learning Virtual Healthcare Education, Mohammad Khan, Midwestern State University, USA Track on AI-Enhanced Computing Architectures and Secure Systems, Fangyang Shen, New York City College of Technology (CUNY) Brooklyn, NY, USA Mei Yang, University of Nevada Las Vegas, NV, USA Large Language Models (LLMs) Applications Pattern Recognition and Classification Natural Language Processing Social Computing Wireless Communications Unconventional Computing General Track
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