Integrated Computer Technologies in Mechanical Engineering—Synergetic Engineering III

A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".

Deadline for manuscript submissions: 20 September 2024 | Viewed by 301

Special Issue Editors


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Guest Editor
National Aerospace University “Kharkiv Aviation Institute”, Chkalova Str., 61070 Kharkiv, Ukraine
Interests: aerospace engineering; math modeling
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
National Aerospace University “Kharkiv Aviation Institute”, Chkalova Str., 61070 Kharkiv, Ukraine
Interests: radar; positioning; navigation; engineering
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
National Aerospace University “Kharkiv Aviation Institute”, Chkalova Str., 61070 Kharkiv, Ukraine
Interests: artificial Intelligence; computer vision; UaV
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will publish a set of selected papers from the International Conference “Integrated Computer Technologies in Mechanical Engineering” (ICTM 2023: ictm.khai.edu), which was held 27-29 December 2023 in Kharkiv, Ukraine. You are invited to submit contributions for consideration in this Special Issue.

Topics of the Special Issue include but are not limited to the following:

  • Information technology in the design and manufacture of engines
  • Information technology in the creation of rocket space systems
  • Aerospace engineering
  • Control systems and engineering
  • Transport systems and logistics
  • Big data and data science
  • Nano-modeling
  • Artificial intelligence and smart systems
  • Networks and communication
  • Cyber-physical system and ioe
  • Software engineering and it-infrastructure
  • Information modeling
  • Project management and business informatics
  • Hyper reality
  • Robotics and uav
  • Smart energy and grids
  • Cyber security and safety
  • Signal and image processing
  • Remote sensing radars

Prof. Dr. Mykola Nechyporuk
Dr. Volodymyr Pavlikov
Dr. Dmytro Krytskyi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence and smart systems
  • robotics and UAV
  • mechanical engineering
  • creation of rocket space systems

Published Papers (1 paper)

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Research

36 pages, 4204 KiB  
Article
Relation Models of Surface Parameters and Backscattering (or Radiation) Fields as a Tool for Solving Remote Sensing Problems
by Kseniia Nezhalska, Valerii Volosyuk, Kostiantyn Bilousov, Denys Kolesnikov and Glib Cherepnin
Computation 2024, 12(5), 104; https://doi.org/10.3390/computation12050104 - 16 May 2024
Viewed by 173
Abstract
In this paper, an analysis of existing models for describing surfaces of various types is performed, and the possibilities of their application at the level of mathematical modeling are analyzed. Moreover, due to the large number of models and the complexity of selecting [...] Read more.
In this paper, an analysis of existing models for describing surfaces of various types is performed, and the possibilities of their application at the level of mathematical modeling are analyzed. Moreover, due to the large number of models and the complexity of selecting the appropriate model, e.g., when conducting a practical experiment, an algorithm for choosing a specific model depending on the initial data is proposed. According to the algorithm, a software prototype that implements this algorithm (written in Python) is proposed. Full article
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