dearkaren |
2019-04-02 17:25 |
第十二届计算智能与软件工程国际研讨会(CiSE-BT 2019)
The 12th Int'l Conference on Computational Intelligence and Software Engineering (CiSE-BT 2019)
大会官网:http://www.janconf.org/conference/CISE-BT2019/
大会时间:2019年12月13-15日
大会地点:泰国曼谷
在线投稿:http://www.janconf.org/RegistrationSubmission/default.aspx?ConferenceID=1176
邮箱投稿:vickykongwy@126.com
录用通知:论文投稿后1周左右
△. 会议简介
第十二届计算智能与软件工程国际研讨会(CiSE-BT 2019)将于2019年12月13-15日在泰国曼谷举行。本届大会将继续遵循学术性、国际性的原则,特邀国内外计算智能与软件工程领域内的学者专家前来参会,并做出精彩的报告。本次大会旨在为行业内专家和学者分享技术进步和业务经验,提供一个交流的平台。
△.文章出版
所有被会议录用的稿件将会发表在开源期刊, 被知网学术、谷歌学术等收录。
△.投稿须知:
论文应具有学术或实用价值,未在国内外学术期刊或会议发表过。
论文排版格式以及投稿方式详见网站说明。
审稿流程:本次会议采用先投稿,先送专家评审的方式进行,审稿周期约1周。
△.参会方式(注:会议有Oral Presentation以及Poster环节)
1. 全文参会:提交全文,申请参与15分钟的口头报告
2. 摘要参会:提交摘要,申请参与15分钟的口头报告
3. 听众参会:只参会听讲,不参与演讲及展示
△. 大会咨询
联系人:杨老师
邮箱: vickykongwy@126.com
QQ: 3025797047
电话: 15071343477
△. 大会议题
Artificial Intelligence Artificial Immune Systems Autonomy-Oriented Computing Artificial Neural Systems Bayesian Learning Biological Computing DNA Computing Evolutionary Programming Evolutionary Algorithms Image Understanding Intelligent Systems Knowledge Discovery Learning Algorithms Machine Learning Multi-Agent Systems Multi-Objective Evolutionary Algorithms Neural Networks Particle Swarm Optimization Probabilistic Reasoning Reinforcement Learning Supervised Learning Swarm Intelligence Probabilistic Learning
Data Mining Discovering Patterns in Continuous Data Uncertainty Management for Data Mining Clustering Algorithms and Applications Classification Trees Mining Time Series Mining in a Mobile Environment Statistical Considerations in Learning XML Mining Text Mining Distributed Data Mining Database Querying Database Querying and Static Routing Algorithms Cryptography Security and Reliabilities Issues
Software Engineering Agile Software Development Autonomic and Self-Managed Software Computer-Supported Collaborative Work Component-based Software Engineering Configuration Management and Deployment Dependendability, Safety and Reliability Distributed, Web-Based and Internet-Scale SE Empirical Software Engineering End-User Software Engineering Engineering Secure Software Feature Interaction and Generative Programming Human and Social Aspects Knowledge-Based Software Engineering Mobile, Embedded and Real-Time Systems Model-driven Software Engineering Patterns and Frameworks Processes and Workflow Program Comprehension and Visualization Requirements Engineering Reengineering and Reverse Engineering Quality and Performance Software Architecture and Design Software Economics and Metrics Software Evolution Software Maintenance Software Policy and Ethics Software Reuse Software Specifications Testing and ysis Theory and Formal Methods Tools and Environments Validation and Verification Cloud, P2P and Mobile Computing Other |
|