TY  - SER
AU  - Azzopardi,Leif
AU  - Song,Ruihua
AU  - White,Ryen W.
AU  - Yilmaz,Emine
AU  - Sakai,Tetsuya
AU  - Murdock,Vanessa
ED  - SpringerLink (Online service)
TI  - Discover Computing
SN  - 2948-2992
CY  - Dordrecht
PB  - Springer Netherlands, Imprint: Discover.
KW  - Information storage and retrieval systems
KW  - Natural language processing (Computer science)
KW  - Data mining
KW  - Data structures (Computer science)
KW  - Information theory
KW  - Pattern recognition systems
KW  - Information Storage and Retrieval
KW  - Natural Language Processing (NLP)
KW  - Data Mining and Knowledge Discovery
KW  - Data Structures and Information Theory
KW  - Automated Pattern Recognition
N2  - Announcement We are pleased to announce that Information Retrieval Journal became fully open access (OA) on 1 January 2024 and moved into our Discover series as Discover Computing. As a result, all submissions are subject to an article publication charge (APC) if accepted (unless a waiver is applied) and will be published in Discover Computing. Please see our FAQs journal update for more information on APCs, funding options, and waivers. Discover Computing 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
UR  - https://doi.org/10.1007/10791.2948-2992
ER  -