CYBERNETICS AND SYSTEMS - Journal - Bridge of Knowledge

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CYBERNETICS AND SYSTEMS

ISSN:

0196-9722

eISSN:

1087-6553

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)
  • management and quality studies (Social studies)
  • international relations (Social studies)
  • computer and information sciences (Natural sciences)

Ministry points: Help

Ministry points - current year
Year Points List
Year 2024 40 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
2024 40 Ministry scored journals list 2024
2023 40 Ministry Scored Journals List
2022 40 Ministry Scored Journals List 2019-2022
2021 40 Ministry Scored Journals List 2019-2022
2020 40 Ministry Scored Journals List 2019-2022
2019 40 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 15 A
2011 15 A
2010 27 A

Model:

Hybrid

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2022 4.3
Points CiteScore - previous years
Year Points
2022 4.3
2021 4.1
2020 3
2019 3.3
2018 2.6
2017 2.2
2016 2
2015 2
2014 1.8
2013 2.5
2012 2.4
2011 1.8

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total: 96

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Catalog Journals

Year 2009
Year 2021
  • Where Did Knowledge Management Go?: A Comprehensive Survey
    Publication

    - CYBERNETICS AND SYSTEMS - Year 2021

    Knowledge Management (KM) research outputs have been expanding exponentially in the past years, generating diversified topics, which lack integration and classification. It has been challenging for experts to classify KM because of its versatile open fields, and in our view, it contributes to the technocratic approach remaining behind the organizational approach. This paper highlights a way to classify KM publications through a...

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  • Toward Intelligent Recommendations Using the Neural Knowledge DNA
    Publication

    - CYBERNETICS AND SYSTEMS - Year 2021

    In this paper we propose a novel recommendation approach using past news click data and the Neural Knowledge DNA (NK-DNA). The Neural Knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for news recommendation tasks on the MIND benchmark dataset. By taking advantages of NK-DNA, deep...

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Year 2016
  • When Neural Networks Meet Decisional DNA: A Promising New Perspective for Knowledge Representation and Sharing
    Publication

    - CYBERNETICS AND SYSTEMS - Year 2016

    ABSTRACT In this article, we introduce a novel concept combining neural network technology and Decisional DNA for knowledge representation and sharing. Instead of using traditional machine learning and knowledge discovery methods, this approach explores the way of knowledge extraction through deep learning processes based on a domain’s past decisional events captured by Decisional DNA. We compare our approach with kNN (k-nearest...

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  • Virtual Engineering Factory: Creating Experience Base for Industry 4.0
    Publication

    - CYBERNETICS AND SYSTEMS - Year 2016

    ABSTRACT In recent times, traditional manufacturing is upgrading and adopting Industry 4.0, which supports computerization of manufacturing by round-the-clock connection and communica- tion of engineering objects. Consequently, Decisional DNA- based knowledge representation of manufacturing objects, processes, and system is achieved by virtual engineering objects (VEO), virtual engineering processes (VEP), and virtual engineering...

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  • Toward Smart Innovation Engineering: Decisional DNA-Based Conceptual Approach
    Publication

    - CYBERNETICS AND SYSTEMS - Year 2016

    ABSTRACT Knowledge and experience are essential requirements for product innovation. The presented paper proposes a systematic approach for product innovation support using a Smart Knowledge Management System comprising a Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). This proposed system is dynamic in nature because it updates itself every time a new decision related to innovation is made. Through this...

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Year 2019
  • Visual Content Learning in a Cognitive Vision Platform for Hazard Control (CVP-HC)
    Publication

    - CYBERNETICS AND SYSTEMS - Year 2019

    This work is part of an effort for the development of a Cognitive Vision Platform for Hazard Control (CVP-HC) for applications in industrial workplaces, adaptable to a wide range of environments. The paper focuses on hazards resulted from the nonuse of personal protective equipment (PPE). Given the results of previous analysis of supervised techniques for the problem of classification of a few PPE (boots, hard hats, and gloves...

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  • Towards Experience-Based Smart Product Design for Industry 4.0
    Publication

    - CYBERNETICS AND SYSTEMS - Year 2019

    This paper presents the concept of smart virtual product development (SVPD) system capable of supporting industrial product development process. It enhances the decision making process during different stages and activities involved in product development i.e. product design, manufacturing, and its inspection planning. The enhancement is achieved by using the explicit knowledge of formal past decision events, which are captured,...

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Year 2015
Year 2010
Year 2022
  • Towards Knowledge Sharing Oriented Adaptive Control
    Publication

    - CYBERNETICS AND SYSTEMS - Year 2022

    In this paper, we propose a knowledge sharing oriented approach to enable a robot to reuse other robots' knowledge by adapting itself to the inverse dynamics model of the knowledge-sharing robot. The purpose of this work is to remove the heavy fine-tuning procedure required before using a new robot for a task via reusing other robots' knowledge. We use the Neural Knowledge DNA (NK-DNA) to help robots gain empirical knowledge and...

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  • The Development of a Conceptual Framework for Knowledge Sharing in Agile IT Projects
    Publication

    - CYBERNETICS AND SYSTEMS - Year 2022

    Organizations must adapt their resources to meet the challenges associated with changes in the work environment in order to remain competitive in the information era. Several research findings identify knowledge sharing as a means for an organization to improve its competitiveness. Knowledge sharing can be defined in a variety of ways, but it essentially refers to the exchange of knowledge from an information giver to an information...

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Year 2018
  • Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA
    Publication

    - CYBERNETICS AND SYSTEMS - Year 2018

    In this paper, we propose a novel intrusion detection approach using past driving experience and the neural knowledge DNA for in-vehicle information system security. The neural knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for classifying malicious vehicle control commands...

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Year 2024
  • Toward Human Chromosome Knowledge Engine
    Publication

    - CYBERNETICS AND SYSTEMS - Year 2024

    Human chromosomes carry genetic information about our life. Chromosome classification is crucial for karyotype analysis. Existing chromosome classification methods do not take into account reasoning, such as: analyzing the relationship between variables, modeling uncertainty, and performing causal reasoning. In this paper, we introduce a knowledge engine for reasoning-based human chromosome classification that stores knowledge...

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Year 2013
  • TOWARD A FUZZY MODEL OF POLISH INTERNET MORTGAGE MARKET

    This article presents our continuing efforts to develop a model of the Internet-based mortgage market in Poland. It sums up modeling research done over the last 4 years, also showing the stages and the process of building and verifying the proposed model consisting of three submodels. The submodels are described for three market situations; that is, a stable market, financial crisis, and economic boom. The proposed model variables...

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Year 2020
  • The Neural Knowledge DNA Based Smart Internet of Things
    Publication

    - CYBERNETICS AND SYSTEMS - Year 2020

    ABSTRACT The Internet of Things (IoT) has gained significant attention from industry as well as academia during the past decade. Smartness, however, remains a substantial challenge for IoT applications. Recent advances in networked sensor technologies, computing, and machine learning have made it possible for building new smart IoT applications. In this paper, we propose a novel approach: the Neural Knowledge DNA based Smart Internet...

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  • Stream Reasoning to Improve Decision-Making in Cognitive Systems
    Publication
    • C. S. de Oliveira
    • F. Giustozzi
    • C. Zanni-Merk
    • C. Sanin
    • E. Szczerbicki

    - CYBERNETICS AND SYSTEMS - Year 2020

    ABSTRACT Cognitive Vision Systems have gained a lot of interest from industry and academia recently, due to their potential to revolutionize human life as they are designed to work under complex scenes, adapting to a range of unforeseen situations, changing accordingly to new scenarios and exhibiting prospective behavior. The combination of these properties aims to mimic the human capabilities and create more intelligent and efficient...

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Year 2023
  • The Impact of Generative AI and ChatGPT on Creating Digital Advertising Campaigns
    Publication

    The use of AI-based solutions is currently discussed in relation to various industries. The proliferation of tools based on generative artificial intelligence (GAI), including the emergence of ChatGPT, has resulted in testing as a first step and implementations in further areas of business life, including marketing, as a second step. Still only a few studies have analysed and evaluated specific solutions for different areas of...

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Year 2002
  • Soft modelling support for information management
    Publication

    W artykule zaproponowano trzystopniowy proces modelowania przepływów informacji. Zaproponowane stopnie obejmują dekompozycje, reprezentacje i integracje. Przedyskutowano możliwości wspomagania każdego z powyższych stopni przypomocy systemów opartych na bazie wiedzy, głównie inteligentnego przeszuki-wania, systemów ekspertowych i sieci neuronowych.

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