Awan / Younas / Bentahar The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)

1. Auflage 2023
ISBN: 978-3-031-16035-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 541, 135 Seiten, eBook

Reihe: Lecture Notes in Networks and Systems

Deep and machine learning is the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionise industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, etc. The ground-breaking technology of blockchain also enables decentralisation, immutability, and transparency of data and applications. This event aims to enable synergy between these areas and provide a leading forum for researchers, developers, practitioners, and professionals from public sectors and industries to meet and share the latest solutions and ideas in solving cutting-edge problems in the modern information society and the economy. The conference focuses on specific challenges in deep (and machine) learning, big data and blockchain. Some of the key topics of interest include (but are not limited to): Deep/Machine learning based models Statistical models and learning Data analysis, insights and hidden pattern Data visualisation Security threat detection Data classification and clustering  Blockchain security and trust  Blockchain data management

Zielgruppe

Research

Autoren/Hrsg.

Awan, Irfan

Younas, Muhammad

Bentahar, Jamal

Benbernou, Salima