The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)
Irfan Awan, Salima Benbernou, Muhammad Younas, Markus Aleksy
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.
Categories:
Volume:
309
Year:
2021
Edition:
1st
Publisher:
Springer
Language:
english
Pages:
175
ISBN 10:
303084336X
ISBN 13:
9783030843366
Series:
Lecture Notes in Networks and Systems
File:
PDF, 14.94 MB
IPFS:
,
english, 2021
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