The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)

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Springer


Collection :

Lecture Notes in Networks and Systems

Paru le : 2022-08-31

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Description

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
Pages
135 pages
Collection
Lecture Notes in Networks and Systems
Parution
2022-08-31
Marque
Springer
EAN papier
9783031160349
EAN PDF
9783031160356

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
10803 Ko
Prix
147,69 €
EAN EPUB
9783031160356

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
15299 Ko
Prix
147,69 €