CMC-Computers Materials & Continua - Journal - Bridge of Knowledge

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CMC-Computers Materials & Continua

ISSN:

1546-2218

eISSN:

1546-2226

Disciplines
(Field of Science):

  • automation, electronics, electrical engineering and space technologies (Engineering and Technology)
  • information and communication technology (Engineering and Technology)
  • biomedical engineering (Engineering and Technology)
  • chemical engineering (Engineering and Technology)
  • civil engineering, geodesy and transport (Engineering and Technology)
  • materials engineering (Engineering and Technology)
  • mechanical engineering (Engineering and Technology)
  • environmental engineering, mining and energy (Engineering and Technology)
  • medical biology (Medical and Health Sciences )
  • pharmacology and pharmacy (Medical and Health Sciences )
  • biotechnology (Natural sciences)
  • computer and information sciences (Natural sciences)

Ministry points: Help

Ministry points - current year
Year Points List
Year 2024 20 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
2024 20 Ministry scored journals list 2024
2023 20 Ministry Scored Journals List
2022 20 Ministry Scored Journals List 2019-2022
2021 20 Ministry Scored Journals List 2019-2022
2020 20 Ministry Scored Journals List 2019-2022
2019 20 Ministry Scored Journals List 2019-2022
2018 20 A
2017 20 A
2016 15 A
2015 15 A
2014 20 A
2013 20 A
2012 30 A
2011 30 A
2010 32 A

Model:

Open Access

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2023 5.3
Points CiteScore - previous years
Year Points
2023 5.3
2022 5
2021 4.9
2020 4.6
2019 3.8
2018 1.9
2017 1.4
2016 2.1
2015 2.3
2014 2.1
2013 1.9
2012 1.7
2011 2

Impact Factor:

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total: 2

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Catalog Journals

Year 2024
  • LDNet: A Robust Hybrid Approach for Lie Detection Using Deep Learning Techniques
    Publication
    • S. A. Prome
    • M. R. Islam
    • D. Asirvatham
    • N. A. Ragavan
    • C. Sanín
    • E. Szczerbicki

    - CMC-Computers Materials & Continua - Year 2024

    Deception detection is regarded as a concern for everyone in their daily lives and affects social interactions. The human face is a rich source of data that offers trustworthy markers of deception. The deception or lie detection systems are non-intrusive, cost-effective, and mobile by identifying facial expressions. Over the last decade, numerous studies have been conducted on deception detection using several advanced techniques....

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Year 2020
  • Deep Learning-Based Intrusion System for Vehicular Ad Hoc Networks
    Publication

    - CMC-Computers Materials & Continua - Year 2020

    The increasing use of the Internet with vehicles has made travel more convenient. However, hackers can attack intelligent vehicles through various technical loopholes, resulting in a range of security issues. Due to these security issues, the safety protection technology of the in-vehicle system has become a focus of research. Using the advanced autoencoder network and recurrent neural network in deep learning, we investigated...

    Full text available to download

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