8th International Conference on Deep Learning Technologies (ICDLT 2024)

8th International Conference on Deep Learning Technologies (ICDLT 2024)
Description

★★ 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 icdlt@young.ac.cn

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: icdlt@young.ac.cn

Tel: 132-9000-0002 | +86-28-86527868

(10am – 5pm, working day only)

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