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eISSN: 2663-2217pISSN: 1727-7337
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–ê–≤—ñ–∞—Ü—ñ–π–Ω–æ-–∫–æ—Å–º—ñ—á–Ω–∞ —Ç–µ—Ö–Ω—ñ–∫–∞ —Ç–∞ —Ç–µ—Ö–Ω–æ–ª–æ–≥—ñ—è Journal Specifications

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Overview
Publisher National Aerospace University «Kharkiv Aviation Institute»
Language Ukrainian,English
Article Processing ChargesUAH 600
Publication Time8
Editorial Review ProcessDouble anonymous peer review
General Details
LanguageUkrainian,English
Website URLVisit website
Publication Details
PlagiarismVisit website
Publication Time 8
Editorial Review Detail
Editorial TeamVisit website
Review ProcessDouble anonymous peer review
Review UrlVisit website
Information for authors
Author instructionsVisit website
Copyright DetailsVisit website
License typeCC BY-NC
OA statementVisit website
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Recently Published Papers in –ê–≤—ñ–∞—Ü—ñ–π–Ω–æ-–∫–æ—Å–º—ñ—á–Ω–∞ —Ç–µ—Ö–Ω—ñ–∫–∞ —Ç–∞ —Ç–µ—Ö–Ω–æ–ª–æ–≥—ñ—è

Approach to organizing distributed production of unmanned aerial vehicles using digital twin and multi-agent systems technologies
  • 22 Apr 2026
  • Aerospace Technic and Technology
Safe deep reinforcement learning method for guaranteed compliance with physical constraints in autonomous energy systems of critical infrastructure (a case study of healthcare facilities)
  • 22 Apr 2026
  • Aerospace Technic and Technology
Розробка прототипу інтелектуальної вебсистеми навчання математиці на основі адаптивного сценарію
  • 22 Apr 2026
  • Aerospace Technic and Technology
A new method for monitoring the product surface temperature and its application in the deposition of vacuum-arc coatings
  • 22 Apr 2026
  • Aerospace Technic and Technology
Additive technologies: research, application in the design and manufacturing of aviation industry structural elements
  • 22 Apr 2026
  • Aerospace Technic and Technology
Hybrid early warning model for autonomous physiological monitoring with a minimal sensor set
  • 22 Apr 2026
  • Aerospace Technic and Technology
Approach to organizing distributed production of unmanned aerial vehicles using digital twin and multi-agent systems technologies
  • 22 Apr 2026
  • Aerospace Technic and Technology
Safe deep reinforcement learning method for guaranteed compliance with physical constraints in autonomous energy systems of critical infrastructure (a case study of healthcare facilities)
  • 22 Apr 2026
  • Aerospace Technic and Technology
Розробка прототипу інтелектуальної вебсистеми навчання математиці на основі адаптивного сценарію
  • 22 Apr 2026
  • Aerospace Technic and Technology
A new method for monitoring the product surface temperature and its application in the deposition of vacuum-arc coatings
  • 22 Apr 2026
  • Aerospace Technic and Technology
Additive technologies: research, application in the design and manufacturing of aviation industry structural elements
  • 22 Apr 2026
  • Aerospace Technic and Technology
Hybrid early warning model for autonomous physiological monitoring with a minimal sensor set
  • 22 Apr 2026
  • Aerospace Technic and Technology

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