Computer Science and Information Technology  

Computer Science and Information Technology is an international peer-reviewed journal that publishes original and high-quality research papers in all areas of computer science and information technology. As an important academic exchange platform, scientists and researchers can know the most up-to-date academic trends and seek valuable primary sources for reference.

ISSN: 2331-6063 (Print)

ISSN: 2331-6071 (Online)

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Volume 11   2023
Vol.11 No.1Vol.11 No.2
Volume 10   2022
Vol.10 No.1Vol.10 No.2Vol.10 No.3Vol.10 No.4
Volume 9   2021
Vol.9 No.1Vol.9 No.2Vol.9 No.3
Volume 8   2020
Vol.8 No.1Vol.8 No.2Vol.8 No.3Vol.8 No.4
Volume 7   2019
Vol.7 No.1Vol.7 No.2Vol.7 No.3Vol.7 No.4Vol.7 No.5
Volume 6   2018
Vol.6 No.1Vol.6 No.2Vol.6 No.3Vol.6 No.4
Volume 5   2017
Vol.5 No.1Vol.5 No.2Vol.5 No.3Vol.5 No.4Vol.5 No.5
Volume 4   2016
Vol.4 No.1Vol.4 No.2Vol.4 No.3Vol.4 No.4Vol.4 No.5
Volume 3   2015
Vol.3 No.1Vol.3 No.2Vol.3 No.3Vol.3 No.4Vol.3 No.5Vol.3 No.6
Volume 2   2014
Vol.2 No.1Vol.2 No.2Vol.2 No.3Vol.2 No.4Vol.2 No.5Vol.2 No.6
Vol.2 No.7Vol.2 No.8
Volume 1   2013
Vol.1 No.1Vol.1 No.2Vol.1 No.3Vol.1 No.4

Vol 7(May, 2019) No 3

Research Project Model Canvas

Hiago Silva, Alexandre Cardoso

[Abstract] [Full Text] [Full Article - PDF] pp. 55 - 64

DOI: 10.13189/csit.2019.070301

Feature Selection in Sparse Matrices

Rahul Kumar, Vatsal Srivastava, Manish Pathak

[Abstract] [Full Text] [Full Article - PDF] pp. 65 - 71

DOI: 10.13189/csit.2019.070302

Analysis and Recurrent Computation of MBF of the Maximum Types

Tkachenco V. G., Sinyavsky O. V.

[Abstract] [Full Text] [Full Article - PDF] pp. 72 - 81

DOI: 10.13189/csit.2019.070303

SAS® Metadata Audit Reporting Transition to Modern BI & Analytics

Pintu Kumar Ghosh

[Abstract] [Full Text] [Full Article - PDF] pp. 82 - 95

DOI: 10.13189/csit.2019.070304

Study on Face Classification and Modeling Based on the Respirator-fit Problem for Chinese Adults

Xiaotong Zhou, Xiaoxia Song

[Abstract] [Full Text] [Full Article - PDF] pp. 96 - 101

DOI: 10.13189/csit.2019.070305