4th
Joint International Conference on
Deep Learning, Big Data and Blockchain (DBB 2023)
Auguest 14-16, 2023 ,Marrakech, Morocco
Scope & Topics
4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023) Deep and machine learning are the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionize industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, security, manufacturing, education, games, and various other industrial applications. All such fields produce and consume massive amount of big data, which include, for example, online commerce data (marketing data, customer reviews, customer relationship), transportation data (road sensors, cameras, GPS), and data about healthcare, social media, and various other applications. Deep learning techniques and big data techniques yield useful outputs in predicting, discovering and acquiring insights and deeper knowledge about events for better and efficient decision making. The groundbreaking technology of blockchain technology also enable decentralization, immutability, and transparency of data and applications. It has been exploited in modern research and industrial domains in order to achieve high level of trust, security and reliable execution of applications and data which are shared across a network of computers.. In addition to the traditional topic areas of RuleML+RR 2023 listed below, papers are also solicited for a new track on “IoT and Smart Systems”.
Topics of Interest :
Paper Submission
Submit your contributions to Electronic Submission System; ( .pdf only).
Note: If you are interested in special sessions, after submission via system, please mail this to deepml.info@gmail.com
Important Dates
| Submission Deadline | : | March 10, 2023 |
| Authors Notification | : | May 25, 2023 |
| Final Manuscript Due | : | June 15, 2023 |
User Name : Zahra
Posted 02-02-2023 on 19:44:14 AEDT