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Journal of King Saud University - Computer and Information Sciences  open-access icon

Journal Title

  • Journal of King Saud University - Computer and Information Sciences

ISSN

  • E 2213-1248 | P 1319-1578

Publisher

  • King Saud University

Listed on(Coverage)

JCR 2020-2023
SJR 2015-2020;2022-2023
CiteScore 2015-2023
SCIE 2020-2024
CC 2020-2024
SCOPUS 2017-2024
DOAJ 2017-2024

OA Info.

OA open-access icon

based on the information

  • 2017;2018;2019;2020;2021;2022;2023;2024;2025;
Keywords computer networks, software systems and developments, rapid prototyping, signal processing, software reuse, artificial intelligence
Review Process Double anonymous peer review
Journal info. pages
Licences CC BY, CC BY-NC-ND
Copyrights No
DOAJ Coverage
  • Added on Date : 2016-05-03T19:28:30Z
Subject(s) Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Active

  • Active

    based on the information

    • SCOPUS:2024-10

Country

  • NETHERLANDS

Aime & Scopes

  • The Journal of King Saud University Computer and Information Sciences is a refereed, international journal that covers all aspects of both foundations of computer and its practical applications. The journal publishes original papers in the areas of, but not limited to /// Arabization /// Big Data /// Bioinformatics /// Biometrics /// Cloud Computing /// Computer Graphics /// Computer Vision /// Crowd Computing /// Data Mining /// Data Warehouse /// e-Business /// e-Learning /// Embedded Systems /// Fuzzy Systems /// Grid Computing /// High Performance Computing /// Image Processing /// Information Security /// Internet of Things /// Machine Learning /// Mobile Computing /// Natural Language Processing /// Net Centric Computing /// Network Protocols /// Network Security /// Pattern Recognition /// Pervasive Computing /// Robotics /// Social Networks /// Software Engineering /// Speech Processing /// Wireless and Mobile Networks /// Wireless Sensor Networks /// Special emphasis is given to recent trends related to the cutting-edge research within the domain.

Homepage

Article List

1 - 7 out of 7 results.

SCIESCOPUS
SDAN-MD: Supervised dual attention network for multi-stage motion deblurring in frontal-viewing vehicle-camera imagesopen access

Jeong, Seong In; Jeong, Min Su; Kang, Seon Jong; Ryu, Kyung Bong; Park, Kang Ryoung

ArticleIssue Date2023CitationJOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, v.35, no.5PublisherELSEVIER
SCIESCOPUS
MDFU-Net: Multiscale dilated features up-sampling network for accurate segmentation of tumor from heterogeneous brain dataopen access

Sultan, Haseeb; Owais, Muhammad; Nam, Se Hyun; Haider, Adnan; Akram, Rehan; Usman, Muhammad; Park, Kang Ryoung

ArticleIssue Date2023CitationJOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, v.35, no.5PublisherELSEVIER
SCIESCOPUS
Computer-aided fish assessment in an underwater marine environment using parallel and progressive spatial information fusionopen access

Haider, Adnan; Arsalan, Muhammad; Nam, Se Hyun; Sultan, Haseeb; Park, Kang Ryoung

ArticleIssue Date2023CitationJOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, v.35, no.3, pp 211 - 226PublisherELSEVIER
SCIESCOPUS
Artificial intelligence-based classification of pollen grains using attention-guided pollen features aggregation networkopen access

Mahmood, Tahir; Choi, Jiho; Park, Kang Ryoung

ArticleIssue Date2023CitationJOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, v.35, no.2, pp 740 - 756PublisherELSEVIER
SCIESCOPUS
Deep Learning-based Multi-stage segmentation method using ultrasound images for breast cancer diagnosisopen access

Cho, Se Woon; Baek, Na Rae; Park, Kang Ryoung

ArticleIssue Date2022CitationJournal of King Saud University - Computer and Information Sciences, v.34, no.10, pp 10273 - 10292PublisherElsevier B.V.
SCIESCOPUS
Deep learning-based plant classification and crop disease classification by thermal cameraopen access

Ganbayar Batchuluun; Nam, Se Hyun; Park, Kang Ryoung

ArticleIssue Date2022CitationJournal of King Saud University - Computer and Information Sciences, v.34, no.10, pp 10474 - 10486PublisherElsevier B.V.
SCIESCOPUS
Spoof detection based on score fusion using ensemble networks robust against adversarial attacks of fake finger-vein imagesopen access

Kim, Seung Gu; Choi, Jiho; Hong, Jin Seong; Park, Kang Ryoung

ArticleIssue Date2022CitationJournal of King Saud University - Computer and Information Sciences, v.34, no.10, pp 9343 - 9362PublisherElsevier B.V.
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