About The Conference

ICCDA is the first international conference organized by the College of Computing and Information Sciences of University of Technology and Applied Sciences (UTAS), Sultanate of Oman. It is scheduled to be held in person on December 10-12, 2023, at UTAS-Ibri, in Al Dhahirah Governorate. ICCDA 2023 is dedicated to emerging trends in computing and data analytics, bringing together experts, scholars, and industry professionals from around the world. It is the expedient platform that allows national and international researchers to exchange the latest technical information, dissemination of high-quality research results, presentation of new developments, and debate and shape future Technologies.

The International Conference on Computing and Data Analytics (ICCDA) is organized into six (6) tracks:
-Artificial Intelligence and Soft computing
-Data Science, Analytics and Applications
-Cyber Security and Data Protection
-Communication Systems and Networks
-Software Engineering and Information Systems
-Applied Mathematics
 
For more information about the International conference on computing and data analytics, please see the link.

 

Manuscript Submission Information

Manuscripts should be submitted online at www.bsj.uobaghdad.edu.iq by registering and logging in to this website. Once you are registered, click here to go to the submission form. Accepted papers will be published continuously in the journal.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere. A guide for authors and other relevant information for submission of manuscripts is available on the Guidelines for Authors page.

Please visit the Guidelines for Authors page before submitting a manuscript. The Fees for publication in this open access journal is 160$ USD (United State Dollar). Submitted papers should be well formatted and use good English.

Participants can submit their articles to Baghdad Science Journal through this link by choosing International Conference on Computing and Data Analytics as article section

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