会议信息

CICET 2019: International Conference on Recent Advancements in Computing, IoT and Computer Engineering Technology

请登录查看会议网址
免费注册：查看官网链接、跟踪截稿日期，并接收邮件提醒。
注册 登录
嵌入截止倒计时徽章
CICET
用 API 获取这条数据
搜索与榜单列表完全无需凭证；本页的完整详情需要一把免费 API 密钥。详见开发者接入页。
截稿日期:
2019-08-24 Extended
通知日期:
2019-09-05
会议日期:
2019-10-21
会议地点:
Taipei, Taiwan
浏览: 16042   关注: 4   参加: 0

会伴指数 (CP-I)

43.6 / 100
全站第 3,405 名 / 共 5,682 个会议 · 前 60%

网络与通信 第 530 / 864

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
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%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
24
资料公开度 (15%)
25

用到的输入: 在会伴关注它的研究者：4 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 25% —— 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 2026-09-18

征稿

CICET 2019 (International Conference on Recent Advancements in Computing, IoT and Computer Engineering Technology) is an academic conference held in Taipei, Taiwan on 2019-10-21. The paper submission deadline is 2019-08-24 (extended). Acceptance notifications are sent on 2019-09-05.

The CICET 2019 seeks original contributions in all relevant areas, including but not limited to the following topics: Distributed Systems, Grid Computing and Services Computing Scientific Computing and Applications Cyber-Physical Systems and Autonomous Systems Intelligent Systems Computational Intelligence Internet of Things Computer and Information Science Computer Networks and Data Communications Wireless Sensor Networks Design, Analysis and Tools for Integrated Circuits and Systems Computer-Aided Design and Manufacturing Computer Architecture Computer Control and Robotics Computer Graphics, Animation, and Virtual Reality Computers in Education and Learning Technologies Computer Modeling and Simulations Computer Security and Privacy Computer Vision and Pattern Recognition Relevant Methodologies and Tools for Modeling and Data Analysis/Processing Approaches Optimization, Advanced Statistics and Machine Learning Methods Deep Learning and Application of Artificial Intelligence Methods Big Data Modelling and Data Analytics Big Data for Industries (government, banking, healthcare, etc.) Data Mining and Machine Learning Business Intelligence and Business Analytics
由 Dou Sun 最后更新于

相关会议

相关期刊

CCF全称影响因子出版商ISSN
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
IEEE Access3.6IEEE2169-3536

评论 0

暂无评论。

请登录后发表评论