2014 IEEE电气,电子与计算机科学学生会议 _时代人物智库_http://www.ems86.com/index.php
 
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2014 IEEE电气,电子与计算机科学学生会议
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2014 IEEE电气,电子与计算机科学学生会议
 
[ 会议基本信息 ] 会议名称(中文):  2014 IEEE电气,电子与计算机科学学生会议 
会议名称(英文):  2014 IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS) 
所属学科:  计算机科学理论,计算机应用技术,电子工程,电力电子 
开始日期:  2014-03-01 
结束日期:  2014-03-02 
所在国家:  印度 
所在城市:      印度 
具体地点:  Bhopal, India 
主办单位:  Maulana Azad National Institute of Technology Bhopal 
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议题:  

[ 组织结构 ] 会议主席:  
组织委员会主席:  
程序委员会主席:  
会议嘉宾:  姓名 职务 简介 演讲题目
 

[ 重要日期 ] 全文截稿日期:  2013-12-20 

[ 会务组联系方式 ] 联系人:  Rajat Shrivastav 
联系电话:  +91-94-07-240333 
传真:  
E-MAIL:  rajat_nitb@ieee.org 
通讯地址:  
邮政编码:  
会议注册费:  
会议网站:  http://sceecs.ieeenitb.org/ 
会议背景介绍:  IEEE Students' Conference on Electrical, Electronics and Computer Sciences 2014 is being organized in the City of Lakes-Bhopal during 1-2 March 2014. It will provide a general platform to students for exchanging and sharing ideas, discussing recent developments and motivation from eminent researchers & academicians. SCEECS 2014 is a multi-disciplinary conference covering range of Tracks and Topics from Electrical, Electronics & Computer Sciences. The Technical program includes workshops, tutorials and expert lectures. The objective of conference is to promote research and innovation at undergraduate and postgraduate level. Early research works from Doctoral students are also invited to be presented in the conference. High quality papers are invited for presentation in the conference and selected papers will be published in the proceedings of the conference. 
征文范围及要求:  SCEECS 2014 invites unpublished and original research papers from undergraduate, postgraduate and doctoral students in following tracks and topics : Power Electronics, Electrical Machines & Drives, Green Technologies, Embedded Technologies, Factory Automation & Industrial Informatics, Digital Signal, Image, Video and Speech Processing, Human Computer Interaction, Communication Systems, Mechatronics & Robotics, Artificial Intelligence, Cryptography, Machine Learning, Parallel Processing, Data Mining, Software Engineering, Simulation & Modeling.

 

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