Name | Ms. Gretchen Liu | |
Telephone | +86-28-86527868 | |
[email protected] | ||
Website | www.icdlt.org |
Full name: ACM--2022 6th International Conference on Deep Learning Technologies (ICDLT 2022)--Ei Compendex, Scopus
Abbreviation: ICDLT 2022
Website: http://www.icdlt.org
Time: July 26-28, 2022
Place: Xi'an China
Sponsored by: Xi'an University of Science and Technology, China
Technical Sponsored by: Ocean University of China, China; Beijing University of Technolofy, China
You are invited to attend 2022 6th International Conference on Deep Learning Technologies will be held during July 26-28, 2022 in Xi'an, China. It's to provide a valuable opportunity for researchers, scholars and scientists to exchange their ideas face to face in Deep Learning Technologies.
Deep learning is the fastest-growing field in artificial intelligence, helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. This is leading to a profoundly different way of thinking about your data, your technology, and the products and services you deliver.
We invite researchers from deep learning technologies to participate and submit their work to the program. Likewise, any work on deep learning that has a relation to any of these fields or potential for the usage in any of them is welcome. Please refer to the different submission categories under "Call for Papers" above for further details.
★★ Publication
The ISBN number of ICDLT 2022 is 978-1-4503-9693-6. You are invited to submit manuscript to ICDLT 2022. The accepted paper will be included into ICDLT 2022 Conference Proceedings, which will be published in the International Conference Proceedings Series by ACM, which will be archived in ACM Digital Library, and indexed by EI Compendex, Scopus, and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).
ICDLT has very credible publication index records via http://www.icdlt.org/pub.html
ICDLT 2021 Proceedings - 978-1-4503-9016-3 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2020 Proceedings - 978-1-4503-7548-1 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2019 Proceedings - 978-1-4503-7160-5 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2018 Proceedings - 978-1-4503-6473-7 | ACM Digital Library | Ei & SCOPUS Index
ICDLT 2017 Proceedings - 978-1-4503-5232-1 | ACM Digital Library | Ei & SCOPUS Index
★Call for paper★
Applications of Deep Learning in software.
Applications of Deep Learning in hardware.
Conceptual talks and cutting edge research on Deep Learning.
Building businesses with Deep Learning at the core.
More at: http://www.icdlt.org/cfp.html
★Submission★
1. Full paper (publication and presentation)
2. Abstract (presentation)
For paper submission, please upload it to the Electronic Submission System: https://www.zmeeting.org/submission/icdlt2022
or send it to [email protected]
More detail about submission, please visit at http://www.icdlt.org/cfp.html
★★Conference Schedule★★
July 26, 2022---Sign-in for ICDLT 2022 (Conference Material Collection)
July 27, 2022 (Morning)---- Openning Remarks & Keynote Speech
July 27, 2022 (Afternoon)---- Author Presentation
July 28, 2022----- Author Presentation
***Travel in Xi'an
Xian, located in central-northwest China, records the great changes of the country just like a living history book. Called Chang'an (meaning the eternal city) in ancient times, it is one of the birthplaces of the ancient Chinese civilization in the Yellow River Basin area. As the eastern terminal of the Silk Road and the site of the famous Terracotta Warriors of the Qin Dynasty, the city has won a reputation all over the world. More than 3,000 years of history including over 1,100 years as the capital city of ancient dynasties, have endowed the city with an amazing historical heritage. Travelers marvel at the numerous historical sites and cultural relics in the city.
★★Contact:
Ms. Gretchen Liu (Conference Secretary)
E-mail: [email protected]
Tel: +86-28-86527868
(10am - 5pm, working day only)
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