| 書目名稱 | The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021) | | 編輯 | Irfan Awan,Salima Benbernou,Markus Aleksy | | 視頻video | http://file.papertrans.cn/913/912185/912185.mp4 | | 概述 | Presents recent advances on deep learning, big data, and blockchain.Includes proceedings of the 2nd International Conference on Deep Learning, Big Data, and Blockchain.Has been written by experts in t | | 叢書名稱 | Lecture Notes in Networks and Systems | | 圖書封面 |  | | 描述 | .The role of deep learning for the analysis?and learning of massive amounts of?data from all aspects of daily-life has dramatically changed over the last few years. It is increasingly helping uncover trends leading to great successes.?This book?includes a collection of research manuscripts presenting?state-of-the-art?work in the areas of deep learning, blockchain and big data. All the manuscripts included in this book have been peer-reviewed based on aspects of novelty, originality and rigour. The main topics covered in the book include machine learning and time series, blockchain technologies and applications, data security, deep learning, and Internet of Things.. | | 出版日期 | Conference proceedings 2022 | | 關鍵詞 | Deep Learning; Machine Learning; Big Data; Data Analytics; Blockchain; Deep-BDB; Deep-BDB2020 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-84337-3 | | isbn_softcover | 978-3-030-84336-6 | | isbn_ebook | 978-3-030-84337-3Series ISSN 2367-3370 Series E-ISSN 2367-3389 | | issn_series | 2367-3370 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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