Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Blockchain and Deep Learning = Future Trends and Enabling Technologies /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Blockchain and Deep Learning/ edited by Khaled R. Ahmed, Henry Hexmoor.
Reminder of title:
Future Trends and Enabling Technologies /
other author:
Ahmed, Khaled R.
Description:
X, 349 p. 156 illus., 122 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Engineering—Data processing. -
Online resource:
https://doi.org/10.1007/978-3-030-95419-2
ISBN:
9783030954192
Blockchain and Deep Learning = Future Trends and Enabling Technologies /
Blockchain and Deep Learning
Future Trends and Enabling Technologies /[electronic resource] :edited by Khaled R. Ahmed, Henry Hexmoor. - 1st ed. 2022. - X, 349 p. 156 illus., 122 illus. in color.online resource. - Studies in Big Data,1052197-6511 ;. - Studies in Big Data,8.
ShareCert: Sharing and Authenticating Certificates and Credentials on Blockchain -- Prospects of Semantic Web and Blockchain technologies in Libraries -- Scalability Analysis of Proof-of-Work based Blockchain -- Smart Contract: A Way to Modern Digital World -- Decentralized Public Distribution System on the Ethereum Blockchain interact with MyEtherWallet.
This book introduces to blockchain and deep learning and explores and illustrates the current and new trends that integrate them. The pace and speeds for connectivity are certain on the ascend. Blockchain and deep learning are twin technologies that are integral to integrity and relevance of network contents. Since they are data-driven technologies, rapidly growing interests exist to incorporate them in efficient and secure data sharing and analysis applications. Blockchain and deep learning are sentinel contemporary research technologies. This book provides a comprehensive reference for blockchain and deep learning by covering all important topics. It identifies the bedrock principles and forward projecting methodologies that illuminate the trajectory of developments for the decades ahead.
ISBN: 9783030954192
Standard No.: 10.1007/978-3-030-95419-2doiSubjects--Topical Terms:
1297966
Engineering—Data processing.
LC Class. No.: TA345-345.5
Dewey Class. No.: 620.00285
Blockchain and Deep Learning = Future Trends and Enabling Technologies /
LDR
:02641nam a22004095i 4500
001
1091244
003
DE-He213
005
20220325105311.0
007
cr nn 008mamaa
008
221228s2022 sz | s |||| 0|eng d
020
$a
9783030954192
$9
978-3-030-95419-2
024
7
$a
10.1007/978-3-030-95419-2
$2
doi
035
$a
978-3-030-95419-2
050
4
$a
TA345-345.5
072
7
$a
UN
$2
bicssc
072
7
$a
COM018000
$2
bisacsh
072
7
$a
UN
$2
thema
082
0 4
$a
620.00285
$2
23
245
1 0
$a
Blockchain and Deep Learning
$h
[electronic resource] :
$b
Future Trends and Enabling Technologies /
$c
edited by Khaled R. Ahmed, Henry Hexmoor.
250
$a
1st ed. 2022.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2022.
300
$a
X, 349 p. 156 illus., 122 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Studies in Big Data,
$x
2197-6511 ;
$v
105
505
0
$a
ShareCert: Sharing and Authenticating Certificates and Credentials on Blockchain -- Prospects of Semantic Web and Blockchain technologies in Libraries -- Scalability Analysis of Proof-of-Work based Blockchain -- Smart Contract: A Way to Modern Digital World -- Decentralized Public Distribution System on the Ethereum Blockchain interact with MyEtherWallet.
520
$a
This book introduces to blockchain and deep learning and explores and illustrates the current and new trends that integrate them. The pace and speeds for connectivity are certain on the ascend. Blockchain and deep learning are twin technologies that are integral to integrity and relevance of network contents. Since they are data-driven technologies, rapidly growing interests exist to incorporate them in efficient and secure data sharing and analysis applications. Blockchain and deep learning are sentinel contemporary research technologies. This book provides a comprehensive reference for blockchain and deep learning by covering all important topics. It identifies the bedrock principles and forward projecting methodologies that illuminate the trajectory of developments for the decades ahead.
650
0
$a
Engineering—Data processing.
$3
1297966
650
0
$a
Cooperating objects (Computer systems).
$3
1387590
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Big data.
$3
981821
650
1 4
$a
Data Engineering.
$3
1226308
650
2 4
$a
Cyber-Physical Systems.
$3
1387591
650
2 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Big Data.
$3
1017136
700
1
$a
Ahmed, Khaled R.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1355330
700
1
$a
Hexmoor, Henry.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1398807
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030954185
776
0 8
$i
Printed edition:
$z
9783030954208
776
0 8
$i
Printed edition:
$z
9783030954215
830
0
$a
Studies in Big Data,
$x
2197-6503 ;
$v
8
$3
1256918
856
4 0
$u
https://doi.org/10.1007/978-3-030-95419-2
912
$a
ZDB-2-INR
912
$a
ZDB-2-SXIT
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
950
$a
Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login