Radio Electronics Computer Science Control

Scope & Guideline

Advancing Knowledge in Radio Electronics and Control Systems

Introduction

Immerse yourself in the scholarly insights of Radio Electronics Computer Science Control with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageUkrainian
ISSN1607-3274
PublisherZAPORIZHZHYA NATL TECHNICAL UNIV
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationRADIO ELECTRON COMPU / Radio Electron. Comput. Sci. Control
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressVUL ZHUKOVSKA, 64, ZAPORIZHZHYA 69063, UKRAINE

Aims and Scopes

The journal "Radio Electronics Computer Science Control" primarily focuses on the intersection of electronics, computer science, and control systems. It aims to publish innovative research that advances theoretical and practical knowledge in these fields.
  1. Electronic Systems and Signal Processing:
    Research related to the design, analysis, and optimization of electronic systems, including signal processing techniques for various applications such as communications and biomedical engineering.
  2. Artificial Intelligence and Machine Learning:
    Exploration of AI and machine learning methodologies for solving complex problems, including neural networks, decision-making systems, and data analysis.
  3. Control Systems and Automation:
    Studies on the development and application of control systems in various domains, including robotics, industrial automation, and smart systems.
  4. Data Science and Computational Intelligence:
    Research involving data analysis, modeling, and computational methods to enhance decision-making and predictive capabilities in various fields.
  5. Network and Communication Technologies:
    Investigations into the design and optimization of communication networks, including wireless technologies and data transmission protocols.
  6. Mathematical Modeling and Simulation:
    The development of mathematical models for understanding complex systems and phenomena, with a focus on simulation techniques.
The journal has witnessed a rise in specific themes that reflect current technological advancements and societal needs. These emerging scopes highlight areas of increasing interest and relevance in the field.
  1. Machine Learning and Deep Learning Applications:
    A significant trend towards integrating machine learning and deep learning techniques is evident, particularly in image processing, natural language processing, and predictive analytics.
  2. Smart and Autonomous Systems:
    Research on smart systems, including robotics and autonomous vehicles, is gaining traction, focusing on their applications in various fields such as transportation and healthcare.
  3. Data Privacy and Security:
    Emerging themes around data privacy, cybersecurity, and the development of secure communication protocols are increasingly relevant, reflecting growing concerns in the digital age.
  4. Sustainable and Green Technologies:
    There is a rising interest in sustainable technology solutions, especially in the context of energy efficiency and environmentally friendly computing practices.
  5. Interdisciplinary Approaches in Technology:
    The integration of technologies from various fields, such as IoT, big data, and AI, is increasingly common, promoting interdisciplinary research that addresses complex real-world problems.

Declining or Waning

While the journal has consistently emphasized advancements in electronic systems and computer science, certain themes appear to be declining in prominence over recent years. These waning scopes indicate a potential shift in research focus.
  1. Traditional Software Development Methodologies:
    There is a noticeable decrease in publications related to conventional software engineering practices, as the field shifts towards more agile and dynamic methodologies.
  2. Basic Theoretical Computer Science:
    Research focusing solely on theoretical foundations of computer science, such as computational complexity, is becoming less frequent as applied studies gain more attention.
  3. Low-Level Hardware Design:
    Topics related to low-level hardware design and implementation seem to be waning, likely due to an increased focus on high-level abstractions and software-driven approaches.

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