Name | Ms. Eileen Wu | |
[email protected] | ||
Website | www.icdlt.org |
★Full name: 2024 8th International Conference on Deep Learning Technologies (ICDLT 2024)
★Abbreviation: ICDLT 2024
★Website: http://www.icdlt.org/
★Time: July 15-17, 2024
★Place: Suzhou, China
2024 8th International Conference on Deep Learning Technologies will be held during July 15-17, 2024 in Suzhou, China, organized by Duke Kunshan University, 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.
★★ Publication
The ISBN number of ICDLT 2024 is 979-8-4007-1686-7. The accepted paper will be included into ICDLT 2024 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 2023 Proceedings - 979-8-4007-0752-0 | will be indexed soon
ICDLT 2022 Proceedings - 978-1-4503-9693-6 | ACM Digital Library | Ei & SCOPUS Index
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
★Call for paper★
Topics of interest include, but are not limited to:
Track 1: Applications of Deep Learning in software
Track 2: Applications of Deep Learning in hardware
Track 3: Conceptual talks and cutting edge research on Deep Learning
Track 4: Building businesses with Deep Learning at the core
For more topics, please visit at http://www.icdlt.org/cfp.html
★Submission★
1. Full paper (publication and presentation)
2. Abstract (presentation only)
For paper submission, please upload it to the Electronic Submission System: https://www.zmeeting.org/submission/icdlt2024
or send it to [email protected]
Full paper submission template: http://www.icdlt.org/acm_template.docx; http://www.icdlt.org/LaTeX-Templates.zip
More detail about submission, please visit at http://www.icdlt.org/sub.html
★★Contact:
Ms. Eileen Wu (Conference Secretary)
E-mail: [email protected]
Tel: 132-9000-0002 | +86-28-86527868
Wechat: iconf-cs-1 send ICDLT 2024
(10am - 5pm, working day only)
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