ICDLT 2023 : 2023 7th International Conference on Deep Learning Technologies (ICDLT 2023)
Call For Papers
★2023 7th International Conference on Deep Learning Technologies (ICDLT 2023) - Scopus & Ei Compendex Index★
★Full name: 2023 7th International Conference on Deep Learning Technologies (ICDLT-2023)
★Abbreviation: ICDLT 2023
★Time: July 27-29, 2023
★Place: Dalian, China
Sponsored by: Dalian Maritime University, China
Co-organized by: SMC, Xi'an University of Science and Technology, Beijing University Of Technology, Ocean University of China, and Huaqiao University.
You are invited to attend 2023 7th International Conference on Deep Learning Technologies will be held during July 27-29, 2023 in Dalian, 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.
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
The ISBN number of ICDLT 2023 is 979-8-4007-0752-0. You are invited to submit manuscript to ICDLT 2023.
The accepted paper will be included into ICDLT 2023 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 2022 Proceedings - 978-1-4503-9693-6 | ACM Digital Library | will be indexed soon
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
Prof. Dr. Yiu-Ming Cheung, FIEEE, FAAAS, FIET, FBCS, Hong Kong Baptist University, Hong Kong
Prof. Hua Huang, Beijing Normal University, China
Prof. James Tin-Yau KWOK, IEEE Fellow, Hong Kong University of Science and Technology
Dr Hongying Meng, Brunel University London, UK
1. Full paper (publication and presentation)
2. Abstract (presentation only)
For paper submission, please upload it to the Electronic Submission System:
or send it to firstname.lastname@example.org
Full paper submission template: http://www.icdlt.org/acm_template.docx
More detail about submission, please visit at http://www.icdlt.org/sub.html
July 27, 2023---Sign-in for ICDLT 2023 (Conference Material Collection)
July 28, 2023 (Morning)---- Openning Remarks & Keynote Speech
July 28, 2023 (Afternoon)---- Parallel Sessions
July 29, 2023----- Parallel Sessions
***Travel in DALIAN
People say it is 'A City Built in Gardens'. Running from downtown there is a 40-kilometer (25-mile) road known as Binhai Lu winding along the coastline, northeast to southwest. This coastal area is a paradise for beach vacationers. The famous scenic spots of Bangchuidao Scenic Area, Tiger Beach Ocean Park, Jinshitan Scenic Area, Dalian Forest Zoo and Xinghai Square are scattered around this region. Meanwhile, you can sample the authentic Dalian-style seafood in a fisherman's house at an incredibly low price......
Hi Chance (Dalian) Science & Technology Center
Address: No.507 Huangpu Road, Ganjingzi District, Dalian, Liaoning, China
Hi Chance Science & Technology Center is located in Ganjingzi District, a neighborhood in Dalian. The area's natural beauty can be seen at Xinghai Park and Ten Miles Gold Coast, while Dalian Modern Museum and Dalian Natural History Museum are cultural highlights. Sheng Ya Ocean World and Xinghai Bay Beach are also worth visiting.
The Hi Chance (Dalian) Science & Technology Center is an ideal spot for travelers wanting to discover the city. Visitors to Dalian will find that the Hi Chance (Dalian) Science & Technology Center is a fantastic accommodation choice.
Ms. Gretchen Liu (Conference Secretary)
(10am - 5pm, working day only)