2023 International Conference on Big Data, Information and Intelligent Engineering (BDIIE 2023) 

Added by 18696123847 on 2023-06-19

Conference Dates:

Start Date Start Date: 2023-09-17
Last Date Last Day: 2023-09-18
Deadline for abstracts/proposals Deadline for abstracts/proposals: 2023-09-09

Conference Contact Info:

Contact Person Contact Person: Teacher Sun
Email Email: [email protected]
Address Address: Hubei, Wuhan, China

Conference Description:

2023 International Conference on Big Data, Information and Intelligent Engineering (BDIIE 2023) will be held in Wuhan, China, from September 17 to 18, 2023. Looking forward to your participation!

? Important information
Meeting Date: September 17-18, 2023
Conference address: Wuhan, Hubei, China
Deadline: September 9, 2023
Acceptance/rejection notice: 1-2 weeks after submission
Conference search: Ei, Scopus
Sponsored by: Hubei Provincial Geological and Environmental Technology Service Center, American Association for Science and Technology
Online submission: https://www.easyaca.com.cn/science/login .html?tg=sjhy
? Speaker
Professor Huiyu Zhou?School of Computing and Mathematical Sciences, University of Leicester
Professor Pascal Lorenz?University of Upper Alsace, France
Associate Professor Hamed Taherdost?Associate Professor of Western Canada University, Adjunct Professor of Westcliff University and Canadian College

? Theme of solicitation
1. Big data
2. Information Engineering
3. Intelligent Engineering
? Publication Information
All submissions must be reviewed by 2-3 experts in the relevant field. After rigorous review, all accepted papers will be published as conference papers and indexed by EI Compendex and Scopus. The length of all conference papers should not be less than 5 pages!
Excellent papers will be directly recommended to suitable SCI journals as follows:
Journal 1: Computer Modeling in Engineering&Sciences (ISSN: 1526-1492, IF=1.593)
Journal 2: Scientific Planning (ISSN: 1058-9244, IF=1.025)
Journal 3: Applied science (ISSN: 2076-3417, IF=2.679)
Journal 4: Sensors (ISSN: 1424-8220, IF=3.576)
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