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Titlebook: The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022); Irfan Awan,Muhammad Younas,Salima Benbernou Conference

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發(fā)表于 2025-3-21 19:15:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)
編輯Irfan Awan,Muhammad Younas,Salima Benbernou
視頻videohttp://file.papertrans.cn/913/912184/912184.mp4
概述Presents recent advances on deep learning, big data and blockchain.Includes proceedings of the 3rd International Conference on Deep Learning, Big Data and Blockchain.Written by experts in the field
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022);  Irfan Awan,Muhammad Younas,Salima Benbernou Conference
描述.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.
出版日期Conference proceedings 2023
關(guān)鍵詞Deep Learning; Machine Learning; Big Data; Data Analytics; Blockchain; Deep-BDB; Deep-BDB2022
版次1
doihttps://doi.org/10.1007/978-3-031-16035-6
isbn_softcover978-3-031-16034-9
isbn_ebook978-3-031-16035-6Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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2367-3370 learning..?Data analysis, insights and hidden pattern..?Data visualisation..?Security threat detection..?Data classification and clustering.?Blockchain security and trust..?Blockchain data management.978-3-031-16034-9978-3-031-16035-6Series ISSN 2367-3370 Series E-ISSN 2367-3389
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2367-3370 , Big Data and Blockchain.Written by experts in the field.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 on
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Lecture Notes in Networks and Systemshttp://image.papertrans.cn/t/image/912184.jpg
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https://doi.org/10.1007/978-3-031-16035-6Deep Learning; Machine Learning; Big Data; Data Analytics; Blockchain; Deep-BDB; Deep-BDB2022
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The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)978-3-031-16035-6Series ISSN 2367-3370 Series E-ISSN 2367-3389
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