NEUROCOMPUTING - Journal - Bridge of Knowledge

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NEUROCOMPUTING

ISSN:

0925-2312

eISSN:

1872-8286

Disciplines
(Field of Science):

  • automation, electronics, electrical engineering and space technologies (Engineering and Technology)
  • information and communication technology (Engineering and Technology)
  • safety engineering (Engineering and Technology)
  • biomedical engineering (Engineering and Technology)
  • medical biology (Medical and Health Sciences )
  • pharmacology and pharmacy (Medical and Health Sciences )
  • medical sciences (Medical and Health Sciences )
  • health sciences (Medical and Health Sciences )
  • management and quality studies (Social studies)
  • international relations (Social studies)
  • biotechnology (Natural sciences)
  • computer and information sciences (Natural sciences)
  • biological sciences (Natural sciences)

Ministry points: Help

Ministry points - current year
Year Points List
Year 2024 140 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
2024 140 Ministry scored journals list 2024
2023 140 Ministry Scored Journals List
2022 140 Ministry Scored Journals List 2019-2022
2021 140 Ministry Scored Journals List 2019-2022
2020 140 Ministry Scored Journals List 2019-2022
2019 140 Ministry Scored Journals List 2019-2022
2018 30 A
2017 30 A
2016 30 A
2015 30 A
2014 30 A
2013 30 A
2012 25 A
2011 25 A
2010 20 A

Model:

Hybrid

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2023 13.1
Points CiteScore - previous years
Year Points
2023 13.1
2022 10.8
2021 10.3
2020 9.8
2019 9.5
2018 8
2017 6.4
2016 4.9
2015 4.2
2014 3.8
2013 3.8
2012 4.3
2011 4.2

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total: 2

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Catalog Journals

Year 2014
  • Decisional DNA for modeling and reuse of experiential clinical assessments in breast cancer diagnosis and treatment
    Publication
    • E. Sanchez
    • W. Peng
    • C. Toro
    • C. Sanin
    • M. Grana
    • E. Szczerbicki
    • E. Carrasco
    • F. Guijarro
    • L. Brualla

    - NEUROCOMPUTING - Year 2014

    Clinical Decision Support Systems (CDSS) are active knowledge resources that use patient data to generate case specific advice. The fast pace of change of clinical knowledge imposes to CDSS the continuous update of the domain knowledge and decision criteria. Traditional approaches require costly tedious manual maintenance of the CDSS knowledge bases and repositories. Often, such an effort cannot be assumed by medical teams, hence...

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  • Evolutionary algorithm and decisional DNA for multiple travelling salesman problem
    Publication

    - NEUROCOMPUTING - Year 2014

    In the real world, it is common to face optimization problems that have two or more objectives that must be optimized at the same time, that are typically explained in different units, and are in conflict with one another. This paper presents a hybrid structure that combines set of experience knowledge structures (SOEKS) and evolutionary algorithms, NSGA-II (Non-dominated Sorting Genetic Algorithm II), to solve multiple optimization...

    Full text to download in external service

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