Skip to main content Skip to main navigation menu Skip to site footer
Multidisciplinary Sciences
  • Current
  • Archives
  • About
    • About the Journal
    • Editorial Team
    • Archiving policy
    • Ethical codex
    • Indexing
    • Privacy Statement
    • Contact
  • For authors
Search
  • Register
  • Login
Search
  1. Home /
  2. Archives /
  3. Vol. 12 No. 1 (2022): Multidisciplinary Sciences

Vol. 12 No. 1 (2022): Multidisciplinary Sciences

Published: 2022-03-30

Articles

  • Traditional or deep learning for sentiment analysis A review

    Aadil Ganie, Samad Dadvandipour
    3-12
    • PDF
  • Post-treatment of welding joints of high strength steels I. Improving weld geometry – Overview

    Illés Sas, János Lukács
    13-27
    • PDF
  • Strengthening the education and learning process of students of informatics via game-based learning tools The development of the LimStorm didactic game and the results of its application

    Szilvia Lengyelné Szilágyi, Attila Körei, Zsuzsanna Török
    28-45
    • PDF (Magyar)
  • Algorithmization of PID algorithm in control systems

    Ádám Móré, Attila Trohák
    46-57
    • PDF (Magyar)
  • Analysis of the time history of the COVID-19 pandemic by sigmoid curves II. Comparison of more waves

    Ferenc Szabó J.
    58-70
    • PDF (Magyar)
  • Modelling of temperature distribution of printed circuit boards

    Árpád Gábor Móré, Attila Trohák
    71-78
    • PDF (Magyar)
  • Improving Performance with SIMD Intrinsics

    Péter Mileff
    79-89
    • PDF
  • Rule distance based rule-base reduction in the expert knowledge-included FRIQ-learning

    Tamás Tompa, Szilveszter Kovács
    90-102
    • PDF (Magyar)
  • A short review on the buckling of compressed columns

    Abderrazek Messaoudi , László Kiss
    103-111
    • PDF
  • Investigation of methanol synthesis and its equipment

    Viktória Kállai, Máté Petrik, Gábor Szepesi L., András Andor Kállay
    112-122
    • PDF (Magyar)

Language

  • English
  • Magyar
More information about the publishing system, Platform and Workflow by OJS/PKP.