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The 4th Joint International Conferen...

Joint International Conference on Deep Learning, Big Data and Blockchain (2023 :)

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The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023)

Record Type:	Electronic resources : Monograph/item
Title/Author:	The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023)/ edited by Muhammad Younas ... [et al.].
remainder title:	DBB 2023
other author:	Younas, Muhammad.
corporate name:	Joint International Conference on Deep Learning, Big Data and Blockchain
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	x, 141 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Deep learning (Machine learning) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-42317-8
ISBN:	9783031423178

The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023)
The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023)[electronic resource] /DBB 2023edited by Muhammad Younas ... [et al.]. - Cham :Springer Nature Switzerland :2023. - x, 141 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,7682367-3389 ;. - Lecture notes in networks and systems ;768..

This book constitutes refereed articles which present research work on new and emerging topics such as distributed ledger technology, blockchains and architectures, smart cities, machine learning and deep learning techniques and application areas such as flight pricing, energy demand and healthcare. The intended readership of the book include researchers, developers and practitioners in the areas of deep learning, big data and blockchains technologies and their applications.

ISBN: 9783031423178

Standard No.: 10.1007/978-3-031-42317-8doiSubjects--Topical Terms:

3593062
Deep learning (Machine learning)
--Congresses.

LC Class. No.: Q325.73

Dewey Class. No.: 006.31

The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023)
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300 $a x, 141 p. : $b ill. (some col.), digital ; $c 24 cm.
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520 $a This book constitutes refereed articles which present research work on new and emerging topics such as distributed ledger technology, blockchains and architectures, smart cities, machine learning and deep learning techniques and application areas such as flight pricing, energy demand and healthcare. The intended readership of the book include researchers, developers and practitioners in the areas of deep learning, big data and blockchains technologies and their applications.
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650 1 4 $a Computational Intelligence. $3 1001631
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