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DEEP LEARNING
MACHINE LEARNING
BIG DATA
BLOCKCHAIN
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About |
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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. The International Conference on Deep Learning, Big Data and Blockcain (DEEP-BDB) aims to enable synergy between these areas and to provide a leading forum for researchers, developers, practitioners, and professional from public sectors and industries in order to meet and share latest solutions and ideas in solving cutting edge problems in modern information society and economy. The conference comprises a set of tracks that focus on specific challenges in deep (and machine) learning, big data and blockchain. All papers accepted for this conference are to be published by Springer in the Advances in Intelligent Systems and Computing series . The proceedings (books) of this series are submitted to ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink. DEEP-BDB 2020 is co-located with the FiCloud 2020 and MobiWis 2020 conferences. |
Call for Papers |
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The conference focuses on specific challenges in deep (and machine) learning, big data and blockchain. Topics of interest include (but not limited to):
Application areas:
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Summary |
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DEEP-BDB 2020 : The 2nd International Conference on Deep Learning, Big Data and Blockchain will take place in Rome, Italy. It’s a 3 days event starting on Aug 24, 2020 (Monday) and will be winded up on Aug 26, 2020 (Wednesday). DEEP-BDB 2020 falls under the following areas: DEEP LEARNING, MACHINE LEARNING, BIG DATA, BLOCKCHAIN, etc. Submissions for this Conference can be made by Mar 12, 2020. Authors can expect the result of submission by May 20, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Jun 15, 2020 to the official website of the Conference. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the DEEP-BDB 2020
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Credits and Sources |
| [1] DEEP-BDB 2020 : The 2nd International Conference on Deep Learning, Big Data and Blockchain |
