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Discover Computing (Record no. 4802)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 2948-2992
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260610082539.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 2948-2992
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/10791.2948-2992
Source of number or code doi
210 10 - ABBREVIATED TITLE
Abbreviated title Discov Computing
245 10 - TITLE STATEMENT
Title Discover Computing
Medium [electronic resource] /
Statement of responsibility, etc. edited by Leif Azzopardi, Ruihua Song, Ryen W. White, Emine Yilmaz, Tetsuya Sakai, Vanessa Murdock.
247 00 - FORMER TITLE
Title Information Retrievel
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Dordrecht :
Name of producer, publisher, distributor, manufacturer Springer Netherlands :
-- Imprint: Discover.
300 ## - online resource
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. Discover Computing (formerly Information Retrieval Journal) is a fully open access, peer-reviewed journal that supports multidisciplinary research and policy developments across all fields relevant to computer science. The journal aims to be a resource for researchers, policy makers and the general public for recent advances in computer science, and its uses in research development and society. As a fully open access journal, we ensure that our research is highly discoverable and instantly available globally to everyone. The journal particularly welcomes work that aims to address the United Nations Sustainable Development Goals, especially, Industry, Innovation and Infrastructure. Topics Topics welcomed at Discover Computing include but are not limited to the following: Foundational computing theories: Algorithms, data structures, computational complexity Automata theory, graph theory, formal languages Turing machines, P vs NP problem, lambda calculus Modern computing architectures and systems: Quantum computing, distributed systems, parallel computing Microarchitecture, multicore processors, memory hierarchies Cloud computing, edge computing, serverless architectures Human-computer interaction: User experience (UX), user interface (UI), accessibility Cognitive ergonomics, adaptive systems, virtual reality User-centered design, haptic feedback, gesture recognition Artificial intelligence and machine learning: Neural networks, deep learning, reinforcement learning Natural language processing, computer vision, robotics Generative adversarial networks (GANs), transfer learning, explainable AI Cybersecurity and privacy: Cryptography, firewall, intrusion detection systems Digital forensics, malware analysis, blockchain security Data anonymization, end-to-end encryption, zero trust architectures Emergent technologies: Augmented reality (AR), virtual reality (VR), mixed reality (MR) Internet of Things (IoT), 5G, smart cities Drones, autonomous vehicles, wearable tech Societal impacts of computing: Digital ethics, algorithmic bias, technological unemployment Digital divide, accessibility, information equity Digital literacy, e-governance, surveillance capitalism Content types Discover Computing welcomes a variety of article types – please see our submission guidelines for details. The journal also publishes guest-edited Topical Collections of relevance to all aspects of computer science and its applications. For more information, please follow up with our journal publishing contact.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Information storage and retrieval systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Natural language processing (Computer science).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data structures (Computer science).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Information theory.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Pattern recognition systems.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Information Storage and Retrieval.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Natural Language Processing (NLP).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Structures and Information Theory.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Automated Pattern Recognition.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Azzopardi, Leif.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Song, Ruihua.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name White, Ryen W.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Yilmaz, Emine.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sakai, Tetsuya.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Murdock, Vanessa.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/10791.2948-2992">https://doi.org/10.1007/10791.2948-2992</a>
Public note Open Access

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