東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Deep learning (Machine learning)" ]

切換: 標籤 | MARC模式 | ISBD

The International Conference on Deep...

International Conference on Deep Learning, Big Data and Blockchain (2022 :)

FindBook

Google Book

Amazon

博客來

The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)/ edited by Irfan Awan ... [et al.].
其他題名:	DBB 2022
其他作者:	Awan, Irfan.
團體作者:	International Conference on Deep Learning, Big Data and Blockchain
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	x, 135 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Deep learning (Machine learning) - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-16035-6
ISBN:	9783031160356

The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)
The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)[electronic resource] /DBB 2022edited by Irfan Awan ... [et al.]. - Cham :Springer International Publishing :2023. - x, 135 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in networks and systems,v. 5412367-3389 ;. - Lecture notes in networks and systems ;v. 541..

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.

ISBN: 9783031160356

Standard No.: 10.1007/978-3-031-16035-6doiSubjects--Topical Terms:

3593062
Deep learning (Machine learning)
--Congresses.

LC Class. No.: Q325.73

Dewey Class. No.: 006.31

The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)
LDR:02302nmm a2200337 a 4500 001 2314866
003 DE-He213
005 20220831161708.0
006 m d
007 cr nn 008maaau
008 230902s2023 sz s 0 eng d
020 $a 9783031160356 $q (electronic bk.)
020 $a 9783031160349 $q (paper)
024 7 $a 10.1007/978-3-031-16035-6 $2 doi
035 $a 978-3-031-16035-6
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.73
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.73 $b .I61 2022
111 2 $a International Conference on Deep Learning, Big Data and Blockchain $n (3rd : $d 2022 : $c Rome, Italy) $3 3626704
245 1 4 $a The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022) $h [electronic resource] / $c edited by Irfan Awan ... [et al.].
246 3 $a DBB 2022
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a x, 135 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v v. 541
520 $a 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.
650 0 $a Deep learning (Machine learning) $v Congresses. $3 3593062
650 0 $a Big data $v Congresses. $3 3166510
650 0 $a Blockchains (Databases) $v Congresses. $3 3411900
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Data Engineering. $3 3409361
700 1 $a Awan, Irfan. $3 2088863
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v. 541. $3 3626705
856 4 0 $u https://doi.org/10.1007/978-3-031-16035-6
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)