The 2021 Artificial Intelligence, Big Data, and Algorithms (CAIBDA 2021) will be held in Xi'an, China from 28th to 30th, May 2021. CAIBDA 2021 is an international forum for scientists, engineers, and practitioners to present their latest research and development results in all areas of Artificial Intelligence, Big Data, and Algorithms. Conference topics mainly include but are not limited to Artificial Intelligence Tools and Applications, Big data search, Programming Languages, Automatic Control, Multi-core Computing, Quantum Computing, Data Structures. CAIBDA 2021 welcomes all high-quality research papers and presentations from related research fields.
CAIBDA will invite well-known scholars in the field of Artificial Intelligence, Big Data, and Algorithms around the world. The reports will be divided into keynote speeches, oral presentations, and poster presentations to share their latest research results and experiences in related research fields. On behalf of the organizing committee, we are looking forward to your participation!
Authors are kindly invited to submit their papers/ posters as per the call for papers schedule below.
Deadline for Full Paper Submission: 24th April 2021
Deadline for Oral/Poster Presentation: 23rd May 2021
Deadline for Attendance: 23rd May 2021
1) If you choose Package D, please submit the full paper (word+pdf) to the 【SUBMISSION SYSTEM】
If you choose Package A, B, or C, please register via 【REGISTRATION SYSTEM】.
Please send your paper/abstract to firstname.lastname@example.org if you have any difficulty with the paper submission.
1. Papers should be no less than 4 pages.
2. Please edit your paper according to the manuscript template before submission. <Template Download>
3. All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.