CMC-Computers Materials & Continua

Scope & Guideline

Championing the evolution of advanced materials and simulation techniques.

Introduction

Delve into the academic richness of CMC-Computers Materials & Continua 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
ISSN1546-2218
PublisherTECH SCIENCE PRESS
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2004 to 2024
AbbreviationCMC-COMPUT MATER CON / CMC-Comput. Mat. Contin.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address871 CORONADO CENTER DR, SUTE 200, HENDERSON, NV 89052

Aims and Scopes

The journal 'CMC-Computers Materials & Continua' focuses on the intersection of computer science, materials science, and engineering, with an emphasis on innovative applications and methodologies. The journal aims to publish high-quality research that contributes to the advancement of knowledge and technology in these fields.
  1. Computational Intelligence and Machine Learning:
    The journal features research that employs computational intelligence techniques, including machine learning algorithms, for various applications such as medical diagnosis, cybersecurity, and environmental monitoring.
  2. Data Science and Big Data Analytics:
    Research focused on data analysis methods, including algorithms for processing large datasets, predictive analytics, and decision-making frameworks in areas like healthcare and smart cities.
  3. Internet of Things (IoT) and Smart Systems:
    Papers addressing IoT frameworks, smart city applications, and the integration of IoT with machine learning for enhancing system efficiency and security.
  4. Cybersecurity and Privacy:
    Studies that explore methods for enhancing cybersecurity, intrusion detection systems, and privacy-preserving protocols in various applications, including healthcare and IoT.
  5. Advanced Material Science:
    Research on the development and application of innovative materials in engineering and technology, including nanomaterials and smart materials.
  6. Robotics and Automation:
    Works focusing on the application of robotics in various domains, emphasizing control algorithms, human-robot interaction, and autonomous systems.
The journal has seen a rise in several trending and emerging themes, indicating a significant shift in research focus towards innovative technologies and methodologies that address contemporary challenges.
  1. Artificial Intelligence and Deep Learning:
    There is a growing emphasis on AI and deep learning methodologies applied to various domains, including healthcare, environmental monitoring, and cybersecurity.
  2. Blockchain Technology Applications:
    Research on blockchain technology is trending, particularly its applications in secure data sharing, healthcare, and IoT, highlighting its potential for enhancing transparency and security.
  3. Sustainable and Green Technologies:
    Emerging themes around sustainability and green technologies are gaining attention, with research focused on energy efficiency, renewable resources, and sustainable practices in various industries.
  4. Smart Health and Biomedical Applications:
    There is an increasing interest in smart health solutions, utilizing IoT and AI for remote patient monitoring, disease detection, and healthcare management.
  5. Cyber-Physical Systems and Edge Computing:
    The integration of cyber-physical systems and edge computing is emerging as a significant research area, focusing on real-time data processing and decision-making at the edge of networks.

Declining or Waning

As the landscape of research evolves, certain themes within the journal have begun to show a decline in focus. These waning scopes reflect shifting priorities in the field and a possible decrease in interest or relevance.
  1. Traditional Manufacturing Processes:
    Research on conventional manufacturing techniques is becoming less prominent as the focus shifts towards smart manufacturing and the integration of advanced technologies.
  2. Basic Statistical Methods:
    There is a noticeable decline in the publication of papers relying solely on traditional statistical techniques, as more complex, data-driven approaches are favored.
  3. Static Security Models:
    Interest in static security models for cybersecurity is waning as dynamic, adaptive security measures that respond to evolving threats gain traction.

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