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 trustBlockchain data management
"synopsis" may belong to another edition of this title.
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 trustBlockchain data management
"About this title" may belong to another edition of this title.
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Taschenbuch. Condition: Neu. The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022) | Irfan Awan (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | x | Englisch | 2022 | Springer | EAN 9783031160349 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 122981608
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 modelsStatistical models and learningData analysis, insights and hidden patternData visualisationSecurity threat detectionData classification and clusteringBlockchain security and trustBlockchain data managementSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 148 pp. Englisch. Seller Inventory # 9783031160349