AUTOMATIC CONTROL AND COMPUTER SCIENCES

Scope & Guideline

Pioneering Insights in Automation and System Engineering

Introduction

Welcome to your portal for understanding AUTOMATIC CONTROL AND COMPUTER SCIENCES, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN0146-4116
PublisherPLEIADES PUBLISHING INC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1973 to 2024
AbbreviationAUTOM CONTROL COMPUT / Autom. Control Comp. Sci.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressPLEIADES HOUSE, 7 W 54 ST, NEW YORK, NY 10019, UNITED STATES

Aims and Scopes

The journal 'Automatic Control and Computer Sciences' focuses on the intersection of automation, control systems, and computer science. It aims to publish high-quality research that advances the understanding and application of control theory, computer science methodologies, and their integration in various domains.
  1. Control Theory and Applications:
    The journal emphasizes the development and application of control theories in diverse environments, including industrial processes, robotics, and smart systems.
  2. Machine Learning and Artificial Intelligence:
    A significant focus is placed on machine learning and AI techniques, particularly in their application to control systems, data analysis, and predictive modeling.
  3. Networked Systems and Cyber-Physical Systems:
    Research on the interaction and control of networked systems, including IoT and cyber-physical systems, is a core area of focus, reflecting the growing importance of connectivity in automation.
  4. Data Processing and Automation:
    The journal explores methodologies for efficient data processing and automation techniques, including algorithms for big data analysis and real-time processing in various applications.
  5. Security and Reliability in Computing Systems:
    A strong emphasis is placed on the security and reliability of control and computing systems, addressing the challenges posed by cybersecurity threats and system vulnerabilities.
  6. Image Processing and Computer Vision:
    Research in image processing techniques, particularly using deep learning and neural networks for applications in computer vision, is a recurring theme in the journal's publications.
The journal has shown a dynamic evolution in its thematic focus, with several emerging trends reflecting the latest advancements and interests in the fields of automation and computer sciences.
  1. Artificial Intelligence in Control Systems:
    There is a growing trend towards integrating AI techniques, particularly machine learning and deep learning, into control systems for improved decision-making and automation.
  2. Cybersecurity in Automated Systems:
    Research addressing cybersecurity concerns in automated and control systems is gaining traction, emphasizing the need for secure and resilient system designs.
  3. Smart Systems and IoT Applications:
    The emergence of smart systems and applications of IoT technology is a significant trend, with research focusing on intelligent automation and real-time data processing in connected environments.
  4. Advanced Image Processing Techniques:
    The application of advanced image processing techniques, notably using convolutional neural networks and other deep learning methods, is increasingly prominent in the journal's recent publications.
  5. Data Fusion and Multisensor Systems:
    There is an emerging interest in data fusion methods and multisensor systems, which leverage information from multiple sources to enhance decision-making and system performance.

Declining or Waning

While the journal has consistently published innovative research across various domains, certain themes appear to be declining in prominence. These waning scopes reflect shifts in research priorities and technological advances.
  1. Traditional Control Systems:
    There has been a noticeable decline in research focused solely on traditional control systems without integration with modern computational techniques, as the field shifts towards more intelligent systems.
  2. Basic Theoretical Frameworks:
    The emphasis on foundational theoretical frameworks in control and computer sciences seems to be waning, with more focus on applied and experimental studies rather than purely theoretical explorations.
  3. Low-Level Programming and Hardware Control:
    Papers focused on low-level programming techniques and direct hardware control are appearing less frequently, likely due to the increasing abstraction in software development and the rise of higher-level automation tools.
  4. Static Data Analysis:
    Research centered on static data analysis techniques is declining, as the journal trends towards dynamic, real-time data processing and analysis methodologies.
  5. Conventional Networking Protocols:
    There is a reduced focus on conventional networking protocols, as the field increasingly prioritizes advanced networking solutions like software-defined networking and cloud computing.

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