Search results for: COGNITIVE SYSTEMS, DDNA, HUMAN–AI HYBRID, KNOWLEDGE AUGMENTATION, KNOWLEDGE ENGINEERING, KNOWLEDGE REPRESENTATION, - Bridge of Knowledge

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Search results for: COGNITIVE SYSTEMS, DDNA, HUMAN–AI HYBRID, KNOWLEDGE AUGMENTATION, KNOWLEDGE ENGINEERING, KNOWLEDGE REPRESENTATION,

Search results for: COGNITIVE SYSTEMS, DDNA, HUMAN–AI HYBRID, KNOWLEDGE AUGMENTATION, KNOWLEDGE ENGINEERING, KNOWLEDGE REPRESENTATION,

  • Smart Knowledge Engineering for Cognitive Systems: A Brief Overview

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2022

    Cognition in computer sciences refers to the ability of a system to learn at scale, reason with purpose, and naturally interact with humans and other smart systems, such as humans do. To enhance intelligence, as well as to introduce cognitive functions into machines, recent studies have brought humans into the loop, turning the system into a human–AI hybrid. To effectively integrate and manipulate hybrid knowledge, suitable technologies...

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  • Human Feedback and Knowledge Discovery: Towards Cognitive Systems Optimization

    Publication

    - Procedia Computer Science - Year 2020

    Current computer vision systems, especially those using machine learning techniques are data-hungry and frequently only perform well when dealing with patterns they have seen before. As an alternative, cognitive systems have become a focus of attention for applications that involve complex visual scenes, and in which conditions may vary. In theory, cognitive applications uses current machine learning algorithms, such as deep learning,...

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  • Virtual Engineering Objects: Effective Way of Knowledge Representation and Decision Making

    Publication

    - Year 2015

    This paper presents a knowledge representation case study by constructing Decisional DNA of engineering objects. Decisional DNA, as a knowledge representation structure not only offers great possibilities on gathering explicit knowledge of formal decision events but also it is a powerful tool for decision-making process. The concept of Virtual engineering Object (VEO), which is a knowledge and experience representation of engineering...

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  • Integrating Experience-Based Knowledge Representation and Machine Learning for Efficient Virtual Engineering Object Performance

    Publication

    - Procedia Computer Science - Year 2021

    Machine learning and Artificial Intelligence have grown significant attention from industry and academia during the past decade. The key reason behind interest is such technologies capabilities to revolutionize human life since they seamlessly integrate classical networks, networked objects and people to create more efficient environments. In this paper, the Knowledge Representation technique of Set of Experience...

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  • Virtual engineering process (VEP): a knowledge representation approach for building bio-inspired distributed manufacturing DNA

    The objective of this research is to provide a user-friendly and effective way of representing engineering processes for distributed manufacturing systems so that they can develop, accumulate and share knowledge. The basic defini-tion and principle of the approach is introduced first and then the prototype version of the system is developed and demonstrated with case studies, which verify the feasibility of the proposed approach....

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  • Intelligence Augmentation and Amplification: Approaches, Tools, and Case Studies

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2022

    Most experts agree that truly intelligent artificial system is yet to be developed. The main issue that still remains a challenge is imposing trust and explainability into such systems. However, is full replication of human intelligence really desirable key aim in intelligence related technology and research? This is where the concept of augmented intelligence comes into play. It is an alternative conceptualization of artificial...

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  • Ontology-Aided Software Engineering

    Publication

    - Year 2012

    This thesis is located between the fields of research on Artificial Intelligence (AI), Knowledge Representation and Reasoning (KRR), Computer-Aided Software Engineering (CASE) and Model Driven Engineering (MDE). The modern offspring of KRR - Description Logic (DL) [Baad03] is considered here as a formalization of the software engineering Methods & Tools. The bridge between the world of formal specification (governed by the mathematics)...

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  • Michał Czubenko dr inż.

    Michał Czubenko is a distinguished 2009 graduate of the Faculty of Electronics, Telecommunications, and Informatics at Gdańsk University of Technology, specializing in the discipline of automatic control and robotics. Currently, he serves as an adjunct in the Department of Robotics and Decision Systems at the same institution. In 2012, he embarked on a three-month internship at Kingston University London, broadening his horizons...

  • Krzysztof Goczyła prof. dr hab. inż.

    Krzysztof Goczyła, full professor of Gdańsk University of Technology, computer scientist, a specialist in software engineering, knowledge engineering and databases. He graduated from the Faculty of Electronics Technical University of Gdansk in 1976 with a degree in electronic engineering, specializing in automation. Since then he has been working at Gdańsk University of Technology. In 1982 he obtained a doctorate in computer science...

  • Knowledge Management

    e-Learning Courses
    • W. Kucharska

    Brand knowledge, customer knowledge, relations knowledge, market knowledge, „know how” etc., are intangible assets with great value to the organization today, and to leave these assets unmanaged would seem to be foolish in the extreme. The aim of the course is to explain: who/ why/ how to manage knowledge effectively. Welcome & GOOD LUCK :) Wioleta Kucharska

  • Image Representation for Cognitive Systems Using SOEKS and DDNA: A Case Study for PPE Compliance

    Publication

    - Year 2020

    Cognitive Vision Systems have gained significant interest from academia and industry during the past few decade, and one of the main reasons behind this is the potential of such technologies to revolutionize human life as they intend to work under complex visual scenes, adapting to a comprehensive range of unforeseen changes, and exhibiting prospective behavior. The combination of these properties aims to mimic the human capabilities...

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  • KNOWLEDGE-BASED SYSTEMS

    Journals

    ISSN: 0950-7051 , eISSN: 1872-7409

  • Smart Embedded Systems with Decisional DNA Knowledge Representation

    Publication

    - Year 2020

    Embedded systems have been in use since the 1970s. For most of their history embedded systems were seen simply as small computers designed to accomplish one or a few dedicated functions; and they were usually working under limited resources i.e. limited computing power, limited memories, and limited energy sources. As such, embedded systems have not drawn much attention from researchers, especially from those in the artificial...

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  • Mapping knowledge risks: towards a better understanding of knowledge management

    Publication

    This conceptual paper aims to identify, present, and analyze potential knowledge risks organizations might face. With the growing complexity of organizational environments and the plethora of new knowledge risks emerging, this critical but under-researched field of knowledge management (KM) deserves closer attention. The study is based on a critical analysis of the extant literature devoted to knowledge risks, discusses potential...

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  • From Knowledge based Vision Systems to Cognitive Vision Systems: A Review

    Publication

    - Year 2018

    Computer vision research and applications have their origins in 1960s. Limitations in computational resources inherent of that time, among other reasons, caused research to move away from artificial intelligence and generic recognition goals to accomplish simple tasks for constrained scenarios. In the past decades, the development in machine learning techniques has contributed to noteworthy progress in vision systems. However,...

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  • Experience based knowledge representation for Internet of Things and Cyber Physical Systems with case studies

    Publication

    Cyber Physical Systems and Internet of Things have grown significant attention from industry and academia during the past decade. The main reason behind this interest is the capabilities of such technologies to revolutionize human life since they appear as seamlessly integrating classical networks, networked objects and people to create more efficient environments. However, enhancing these technologies with intelligent skills becomes...

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  • Cognitum Ontorion: Knowledge Representation and Reasoning System

    Publication

    “If knowledge can create problems, it is not through ignorance that we can solve them.” (Isaac Asimov). Nevertheless, at any point of human activity, knowledge (besides practice) is a key factor in understanding and solving any given problem. Nowadays, computer systems have the ability to support their users in an efficient and reliable way. In this paper we present and describe the functionality of the Cognitum Ontorion system....

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  • Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA): Past, Present and Future

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2014

    This article reviews research work on set of experience knowledge structure (SOEKS)-decisional DNA (DDNA) done in the past, ongoing, and planned for the future. Firstly, the concept of the knowledge representation technique of SOEKS-DDNA is discussed, and then an attempt is made to organize the past research related with it in chronological order. This work focuses on the review on SOEKS-DDNA, its application in different domains,...

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  • 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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  • Implementing Virtual Engineering Objects (VEO) with the Set of Experience Knowledge Structure (SOEKS)

    Publication

    - Procedia Computer Science - Year 2014

    This paper illustrates the idea of Virtual Engineering Object (VEO) powered by Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). A VEO is the knowledge representation of an engineering object, having embodiment of all its associated knowledge and experience within it. Moreover, VEO is a specialization of Cyber-Physical System (CPS) in terms of that its extension in knowledge gathering and reuse, whereas CPS...

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  • Knowledge management and knowledge security—Building an integrated framework in the light of COVID‐19

    Publication

    - Knowledge and Process Management - Year 2022

    Abstract. This paper presents a framework of knowledge risk management in the face of the COVID-19 crisis, derived from the literature on knowledge management, knowledge security and COVID-19. So far, both researchers and practitioners have focused on knowledge as an asset and their efforts have been aimed at the implementation of knowledge management in various organizational contexts. However, with increasing threats related...

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  • Context-Aware Indexing and Retrieval for Cognitive Systems Using SOEKS and DDNA

    Publication

    - Advances in Intelligent Systems and Computing - Year 2019

    Visual content searching, browsing and retrieval tools have been a focus area of interest as they are required by systems from many different domains. Context-based, Content-Based, and Semantic-based are different approaches utilized for indexing/retrieving, but have their drawbacks when applied to systems that aim to mimic the human capabilities. Such systems, also known as Cognitive Systems, are still limited in terms of processing...

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  • Cognitum Ontorion: Knowledge Representation and Reasoning System

    Publication

    At any point of human activity, knowledge and expertise are a key factors in understanding and solving any given problem. In present days, computer systems have the ability to support their users in an efficient and reliable way in gathering and processing knowledge. In this chapter we show how to use Cognitum Ontorion system in this areas. In first section, we identify emerging issues focused on how to represent and inference...

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  • Knowledge sharing and knowledge hiding in light of the mistakes acceptance component of learning culture- knowledge culture and human capital implications

    Publication

    - The Learning Organization - Year 2022

    Purpose: This study examines the micromechanisms of how knowledge culture fosters human capital development. Method: An empirical model was developed using the structural equation modeling method (SEM) based on a sample of 321 Polish knowledge workers employed in different industries. Findings: This study provides direct empirical evidence that tacit knowledge sharing supports human capital, whereas tacit knowledge hiding does...

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  • Visual Content Representation for Cognitive Systems: Towards Augmented Intelligence

    Publication

    - Year 2020

    Cognitive Vision Systems have gained significant attention from academia and industry during the past few decades. One of the main reasons behind this interest is the potential of such technologies to revolutionize human life since they intend to work robustly under complex visual scenes (which environmental conditions may vary), adapting to a comprehensive range of unforeseen changes, and exhibiting prospective behavior. The combination...

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  • Visual content representation and retrieval for Cognitive Cyber Physical Systems

    Publication

    - Procedia Computer Science - Year 2019

    Cognitive Cyber Physical Systems have gained significant attention from academia and industry during the past few decade. One of the main reasons behind this interest is the potential of such technologies to revolutionize human life since they intend to work robustly under complex visual scenes, which environmental conditions may vary, adapting to a comprehensive range of unforeseen changes, and exhibiting prospective behavior...

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  • The impact of knowledge risk management on sustainability

    Publication

    - Journal of Knowledge Management - Year 2022

    Purpose The purpose of this study is to examine the effect of knowledge risk management (KRM) on organizational sustainability and the role of innovativeness and agility in this relationship. Methodology The study presents the results of a quantitative survey performed among 179 professionals from knowledge-intensive organizations dealing with knowledge risks and their management in organizations. Data included in this study are...

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  • Knowledge engineer – more than only technical position. The concept of knowledge engineering education at the Faculty of Management and Economics

    Publication

    - Year 2014

    Organizational learning means an effective knowledge management. Management is nothing more than the constant decision-making. Therefore organizational learning must be seen through the prism of decisions taken at all levels. Unfortunately decisions are never taken within comfortable conditions. Decision maker suffers from a lack of any support. There is often a problem with human resources having right skills, sometimes they do...

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  • Knowledge work and knowledge workers in knowledge-based economy - theoretical considerations

    It is often claimed that an organization is as good as people working in it and that talented workers are the driving force of an organization. To cope with the growing requirements of knowledge-based economy, organizations need a special type of workers - knowledge workers. This is especially important in organizations building their competitive advantage on innovations and the application of information and communication technologies...

  • Towards neural knowledge DNA

    Publication

    - JOURNAL OF INTELLIGENT & FUZZY SYSTEMS - Year 2017

    In this paper, we propose the Neural Knowledge DNA, a framework that tailors the ideas underlying the success of neural networks to the scope of knowledge representation. Knowledge representation is a fundamental field that dedicates to representing information about the world in a form that computer systems can utilize to solve complex tasks. The proposed Neural Knowledge DNA is designed to support discovering, storing, reusing,...

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  • Organizational IT Competency, Knowledge Workers and Knowledge Sharing

    Publication

    - Year 2019

    IT competency plays a vital role in knowledge management processes. Information technology affects an organization’s ability to store and recall knowledge that has been made explicit through codification, including different forms such as written documents, reports, presentations, patents, formulas, etc. This study aims to measure the influence of a company’s IT competency dimensions such as IT-knowledge,...

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  • Knowledge representation of motor activity of patients with Parkinson’s disease

    An approach to the knowledge representation extraction from biomedical signals analysis concerning motor activity of Parkinson disease patients is proposed in this paper. This is done utilizing accelerometers attached to their body as well as exploiting video image of their hand movements. Experiments are carried out employing artificial neural networks and support vector machine to the recognition of characteristic motor activity...

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  • Adding Interpretability to Neural Knowledge DNA

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2022

    This paper proposes a novel approach that adds the interpretability to Neural Knowledge DNA (NK-DNA) via generating a decision tree. The NK-DNA is a promising knowledge representation approach for acquiring, storing, sharing, and reusing knowledge among machines and computing systems. We introduce the decision tree-based generative method for knowledge extraction and representation to make the NK-DNA more explainable. We examine...

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  • Marek Szelągowski dr

    People

    Marek Szelągowski has participated in the creation and implementation of IT solutions in the fields of accounting, human resources management, production, IT infrastructure management, etc. As the CIO of the BUDIMEX Group in 2000–2008 he was responsible for the accommodation of informatization strategies to the changing needs of the business sector. He was managing and participating in analyses and optimizations of business processes...

  • Knowledge Views and their application in systems engineering

    Publication

    - Year 2011

    Wykorzystanie technologii Semantic Web, w szczególności baz wiedzy, w przemyśle informatycznym jest niewielkie. Jest to spowodowane między innymi dużym ryzykiem związanym z wdrażaniem nowych technologii i brakiem wiedzy na ich temat ze strony inżynierów oprogramowania. Aby zmniejszyć ryzyko związane z wdrażaniem baz wiedzy i zminimalizować nakład pracy inżynierów na zapoznanie się z nimi, w niniejszej pracy zaproponowano koncepcję...

  • Knowledge Management (FK)

    e-Learning Courses

  • Searching for innovation knowledge: insight into KIBS companies

    Publication

    - Knowledge Management Research & Practice - Year 2017

    The paper analyses the activity of research for “innovation knowledge”—here defined as knowledge that can lead to the introduction of service innovations—by Knowledge-Intensive Business Services (KIBS) companies. It proposes a classification of the possible search approaches adopted by those companies based on two dimensions: the pro-activity of search efforts and the source primarily used. Such classification is then discussed...

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  • 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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  • Using human behavior to develop knowledge-based virtual organisations

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2010

    Propozycja modelu opartego na zachowaniach ludzkich dla potrzeb budowy wirtuanych organizacji opartych na wiedzy.Virtual organizations promote dynamic interaction between individuals, groups, and organizations, who share their capabilities and resources to pursue a common goal and maximize their benefits. Among these resources, knowledge is a critical one that requires special attention in order to support problem-solving activities...

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  • A proposal for a knowledge market based on quantity and quality of knowledge

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2013

    The paper proposes an autonomous market environment in which it is possible to trade knowledge based on its quantity and quality.

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  • Context Search Algorithm for Lexical Knowledge Acquisition

    Publication

    - CONTROL AND CYBERNETICS - Year 2012

    A Context Search algorithm used for lexical knowledge acquisition is presented. Knowledge representation based on psycholinguistic theories of cognitive processes allows for implementation of a computational model of semantic memory in the form of semantic network. A knowledge acquisition using supervised dialog templates have been performed in a word game designed to guess the concept a human user is thinking about. The game,...

  • Contextual Knowledge to Enhance Workplace Hazard Recognition and Interpretation in a Cognitive Vision Platform

    Publication

    - Year 2018

    The combination of vision and sensor data together with the resulting necessity for formal representations builds a central component of an autonomous Cyber Physical System for detection and tracking of laborers in workplaces environments. This system must be adaptable and perceive the environment as automatically as possible, performing in a variety of plants and scenes without the necessity of recoding the application for each...

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  • INFORMATION AND KNOWLEDGE MANAGEMENT

    e-Learning Courses
    • E. Szczerbicki

  • Knowledge-based performance-driven modeling of antenna structures

    The importance of surrogate modeling techniques in the design of modern antenna systems has been continuously growing over the recent years. This phenomenon is a matter of practical necessity rather than simply a fashion. On the one hand, antenna design procedures rely on full-wave electromagnetic (EM) simulation tools. On the other hand, the computational costs incurred by repetitive EM analyses involved in solving common tasks...

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  • Knowledge management implementation in small and micro KIBS : A categorization

    Publication

    - Knowledge and Process Management - Year 2023

    he main goal of the paper is to provide a statistical categorization of small and micro knowledge-intensive business service (KIBS) companies, based on their knowledge management (KM) attitude. Since knowledge is the main production factor and output of these companies, it is essential to achieve a better understanding of how they manage this resource. A questionnaire-based survey was conducted on a sample of Polish small and micro...

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  • Experience-based knowledge representation: Soeks

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2009

    Przedstawiono koncepcję i realizację reprezentacji wiedzy opartej na zbiorze doświadczeń z przeszłości.

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  • Design of knowledge based systems in environmental engineering.

    Publication

    W pracy omawia się konstrukcję samo narastającego modelu rozmytego zarządzania przedsięwzięciami informatycznymi, stosowanego do wspomagania wytwarzania systemów opartych na wiedzy. Proponowany model służy w szczególności do zarządzania zmianami finansowania i czasu realizacji projektów. Opiera się on na eksperymentalnej regułowej wiedzy, pochodzącej z realizacji zarządzania przedsięwzięciami informatycznymi, na teorii systemów...

  • Design of knowledge-based systems in environmental engineering.

    Publication

    W pracy omawia się konstrukcję iteracyjnie dostrajającego się modelu rozmytego zarządzania przedsięwzięciami informatycznymi, stosowanego do wspomagania wytwarzania systemów opartych na wiedzy. Proponowany model służy w szczególności do zarządzania zmianami finansowania i czasu realizacji projektów dotyczących m.in. systemów wykorzystywanych w (inżynierii) ochronie środowiska. Struktura tego modelu zasadza się na teorii systemów...

  • The Cultures of Knowledge Organizations: Knowledge, Learning, Collaboration (KLC)

    Publication

    - Year 2023

    This book focuses on seeing, understanding, and learning to shape an organization’s essential cultures. The book is grounded on a fundamental assumption that every organization has a de facto culture. These “de facto cultures” appear at first glance to be serendipitous, vague, invisible, and unmanaged. An invisible and unrecognized de facto culture can undermine business goals and strategies and lead to business failures. The authors...

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  • Towards Knowledge Formalization and Sharing in a Cognitive Vision Platform for Hazard Control (CVP-HC)

    Publication

    - Year 2019

    Hazards are present in all workplaces and can result in serious injuries, short and long-term illnesses, or death. In this context, management of safety is essential to ensure the occupational health of workers. Aiming to assist the safety manage-ment process, especially in industrial environments, a Cognitive Vision Platform for Hazard Control (CVP-HC) has been proposed. The CVP-HC is a scalable yet adaptable system capable of...

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