Automatika

Scope & Guideline

Pioneering Open Access to Transformative Research

Introduction

Delve into the academic richness of Automatika with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN0005-1144
PublisherTAYLOR & FRANCIS LTD
Support Open AccessYes
CountryUnited Kingdom
TypeJournal
Convergefrom 2009 to 2024
AbbreviationAUTOMATIKA-UK / Automatika
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

Aims and Scopes

The journal 'Automatika' focuses on the intersection of automation, control systems, and artificial intelligence, providing a platform for innovative research and practical applications in these fields. It encompasses a wide range of methodologies and interdisciplinary approaches.
  1. Automation and Control Systems:
    Research in this area covers various control strategies, including model predictive control, fuzzy logic control, and adaptive control systems, aimed at enhancing the efficiency and reliability of automated systems.
  2. Artificial Intelligence and Machine Learning:
    The journal features studies that apply AI and machine learning techniques to solve complex problems in automation, such as predictive maintenance, anomaly detection, and intelligent decision-making.
  3. Renewable Energy Systems:
    A significant focus is placed on the optimization and control of renewable energy systems, particularly in photovoltaic and wind energy applications, emphasizing sustainability and efficiency.
  4. Image Processing and Computer Vision:
    Papers often explore advanced image processing techniques and computer vision applications, including medical image analysis, remote sensing, and automated surveillance.
  5. Cybersecurity in Automation:
    The journal addresses the critical area of cybersecurity within automated systems, focusing on intrusion detection systems, secure communication protocols, and data privacy.
  6. Smart Systems and IoT:
    Research on the integration of the Internet of Things (IoT) with automation systems is prevalent, including studies on smart cities, smart grids, and intelligent transportation systems.
The journal 'Automatika' has seen a rise in various emerging themes that reflect current technological advancements and societal needs. These trends indicate where the field is heading and highlight the innovative research being conducted.
  1. Deep Learning Applications:
    There is a significant increase in studies applying deep learning techniques across various domains, including medical diagnostics, image processing, and predictive analytics, showcasing the potential of AI to revolutionize these fields.
  2. Hybrid Systems and Optimization Techniques:
    Research focusing on hybrid systems that combine multiple methodologies, such as evolutionary algorithms with machine learning, is gaining traction, emphasizing the need for robust and adaptable solutions in complex environments.
  3. IoT and Smart Technologies:
    The integration of IoT technologies into automation systems is a growing area of interest, with research focusing on smart grids, smart cities, and intelligent transportation systems, reflecting the global push towards digital transformation.
  4. Sustainability and Renewable Energy:
    Papers addressing sustainability, particularly in the context of renewable energy systems and energy-efficient technologies, are on the rise, aligning with global efforts to combat climate change and promote green technologies.
  5. Cybersecurity and Data Protection:
    As automation systems become more interconnected, research on cybersecurity measures, secure communication protocols, and data protection strategies is increasingly relevant and prevalent in recent publications.

Declining or Waning

While 'Automatika' maintains a robust portfolio of research areas, certain themes have shown a decline in publication frequency or relevance over recent years. These waning scopes may indicate shifting interests within the research community.
  1. Traditional Control Theory:
    Papers focused solely on classical control theory without integration of modern methodologies have decreased, reflecting a trend towards more hybrid approaches that combine traditional methods with AI and machine learning.
  2. Basic Automation Techniques:
    Research that explores basic automation techniques and systems without incorporating advanced technologies or innovative applications has seen a reduction, as the field increasingly embraces complexity and sophistication.
  3. Hardware-centric Studies:
    There is a noticeable decline in publications centered around hardware implementations without accompanying software or algorithmic innovations, signaling a shift towards more integrated and software-driven solutions.

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