Procedia Computer Science - Czasopismo - MOST Wiedzy

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Procedia Computer Science

ISSN:

1877-0509

Punkty Ministerialne: Pomoc

Punkty Ministerialne - aktualny rok
Rok Punkty Lista
Rok 2024 5 Czasopisma spoza wykazu ministerialnego 2024
Punkty Ministerialne - lata ubiegłe
Rok Punkty Lista
2024 5 Czasopisma spoza wykazu ministerialnego 2024
2023 5 Czasopisma spoza wykazu ministerialnego 2023
2022 5 Czasopisma spoza wykazu ministerialnego (2019-2022)
2021 5 Czasopisma spoza wykazu ministerialnego (2019-2022)
2020 5 Czasopisma spoza wykazu ministerialnego (2019-2022)
2019 5 Czasopisma spoza wykazu ministerialnego (2019-2022)
2018 15 Czasopisma spoza listy ministerialnej indeksowane w SCOPUS/Web of Science
2017 15 Czasopisma spoza listy ministerialnej indeksowane w SCOPUS/Web of Science
2016 0 zagraniczne czasopisma naukowe
2015 0 zagraniczne czasopisma naukowe
2014 0 zagraniczne czasopisma naukowe
2013 0 zagraniczne czasopisma naukowe
2012 0 zagraniczne czasopisma naukowe

Model czasopisma:

Open Access

Punkty CiteScore:

Punkty CiteScore - aktualny rok
Rok Punkty
Rok 2022 4
Punkty CiteScore - lata ubiegłe
Rok Punkty
2022 4
2021 3.6
2020 3
2019 2.5
2018 2.2
2017 1.5
2016 1.2
2015 0.9
2014 1.1
2013 1
2012 1.1
2011 0.3

Impact Factor:

brak danych

Filtry

wszystkich: 38

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wyczyść Filtry wybranego katalogu niedostępne

Katalog Czasopism

Rok 2023
  • Sustainable Waste Management for Implementation of a Circular Economy Model in a Port
    Publikacja

    - Procedia Computer Science - Rok 2023

    The manuscript presents the management of waste from marine vessels and cargo handling companies in a selected European Union port. The main objective of the paper is to analyse and evaluate the existing waste management model in the port of Szczecin in the context of circular economy. The expert research carried out is aimed, inter alia, at identifying which of the solutions currently in use need to be improved from an environmental...

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Rok 2022
  • A note on the affective computing systems and machines: a classification and appraisal
    Publikacja

    Affective computing (AfC) is a continuously growing multidisciplinary field, spanning areas from artificial intelligence, throughout engineering, psychology, education, cognitive science, to sociology. Therefore, many studies have been devoted to the aim of addressing numerous issues, regarding different facets of AfC solutions. However, there is a lack of classification of the AfC systems. This study aims to fill this gap by reviewing...

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  • ARIMA vs LSTM on NASDAQ stock exchange data
    Publikacja

    - Procedia Computer Science - Rok 2022

    This study compares the results of two completely different models: statistical one (ARIMA) and deep learning one (LSTM) based on a chosen set of NASDAQ data. Both models are used to predict daily or monthly average prices of chosen companies listed on the NASDAQ stock exchange. Research shows which model performs better in terms of the chosen input data, parameters and number of features. The chosen models were compared using...

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  • Digitalization of High Speed Craft Design and Operation Challenges and Opportunities
    Publikacja

    - Procedia Computer Science - Rok 2022

    In recent years, global demands for safe and sustainable ships led to dramatic changes in the maritime industry. Digitalization is expected to play an important part in the future. This is supported by analysis of the autonomous ships market which shows that digitalization of large ship types such as tankers and container ships is well on track. Although to date designs of autonomous High-Speed Craft (HSC) have been developed,...

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  • Jamming and jamming mitigation for selected 5G military scenarios
    Publikacja
    • P. Skokowski
    • J. M. Kelner
    • K. Malon
    • K. Maślanka
    • A. Birutis
    • M. A. Vazquez
    • S. Saha
    • W. Low
    • A. Czapiewska
    • J. Magiera... i 2 innych

    - Procedia Computer Science - Rok 2022

    This paper presents jamming and jamming mitigation techniques, which can be used in relation to emerging military systems based on fifth-generation (5G) technology. Nowadays, 5G technology provides incremental improvements over Long Term Evolution (LTE) networks resulting in the enhancement of civilian communications. Considering enormous possible applications of this new technology, it is feasible to use them in military utilities....

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  • Machine learning applied to acoustic-based road traffic monitoring

    The motivation behind this study lies in adapting acoustic noise monitoring systems for road traffic monitoring for driver’s safety. Such a system should recognize a vehicle type and weather-related pavement conditions based on the audio level measurement. The study presents the effectiveness of the selected machine learning algorithms in acoustic-based road traffic monitoring. Bases of the operation of the acoustic road traffic...

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Rok 2021
  • Integrating Experience-Based Knowledge Representation and Machine Learning for Efficient Virtual Engineering Object Performance
    Publikacja

    - Procedia Computer Science - Rok 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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  • MobileNet family tailored for Raspberry Pi

    With the advances in systems-on-a-chip technologies, there is a growing demand to deploy intelligent vision systems on low-cost microcomputers. To address this challenge, much of the recent research has focused on reducing the model size and computational complexity of contemporary convolutional neural networks (CNNs). The state-of-the-art lightweight CNN is MobileNetV3. However, it was designed to achieve a good trade-off between...

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  • Towards Use of OntoClean for Ontology Contextualization
    Publikacja

    Ontologies are formal systems of concepts used to describe numerous domains of interest. Ontologies are usually very expressive, but it comes at a price of computationally expensive reasoning over them. In our previous work we discussed the possible performance benefits that can be obtained by decomposing an ontology into contexts. While the benefits are appealing, we discovered that, in our case, the main obstacle against using...

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Rok 2020
  • Agile Requirements Prioritization in Practice: Results of an Industrial Survey
    Publikacja

    Agile software development stresses the importance of providing the customer with a product of a maximized business value. To achieve that, requirements prioritization is used. Agile development methods like Scrum define guidelines for prioritization, however practitioners do not necessarily have to follow them. Our goal was to investigate the industry practice related to requirements prioritization process, including its timing,...

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  • Contextual ontology for tonality assessment

    classification tasks. The discussion focuses on two important research hypotheses: (1) whether it is possible to construct such an ontology from a corpus of textual document, and (2) whether it is possible and beneficial to use inferencing from this ontology to support the process of sentiment classification. To support the first hypothesis we present a method of extraction of hierarchy of contexts from a set of textual documents...

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  • Human Feedback and Knowledge Discovery: Towards Cognitive Systems Optimization
    Publikacja

    - Procedia Computer Science - Rok 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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  • Improving the Performance of Ontological Querying by using a Contextual Approach

    In the paper we present the results of experiment we performed to determine whether a contextual approach may be used to increase the performance of querying a knowledge base. For the experiments we have used a unique setting where we put much effort in developing a contextual and a non-contextual ontology which are as much close counterparts as possible. To achieve this we created a contextual version...

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  • Industry 4.0 Implementation Challenges in Manufacturing Industries: an Interpretive Structural Modelling Approach
    Publikacja

    - Procedia Computer Science - Rok 2020

    For the last few years, the fourth industrial revolution, known as Industry 4.0, has been a hot topic among academics. Industry 4.0 literature involves researches presenting studies related to its different aspects including challenges, opportunities, implementation and adoption. However, a detailed study of challenges and barriers towards the Industry 4.0 implementation in manufacturing industries is missing. Hence, this paper...

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  • Microscopic traffic simulation models for connected and automated vehicles (CAVs) – state-of-the-art
    Publikacja
    • P. Gora
    • C. Kartakazas
    • A. Drabicki
    • F. Islam
    • P. Ostaszewski

    - Procedia Computer Science - Rok 2020

    Research on connected and automated vehicles (CAVs) has been gaining substantial momentum in recent years. However, thevast amount of literature sources results in a wide range of applied tools and datasets, assumed methodology to investigate thepotential impacts of future CAVs traffic, and, consequently, differences in the obtained findings. This limits the scope of theircomparability and applicability and calls for a proper standardization...

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  • Smart Virtual Product Development (SVPD) System to Support Product Inspection Planning in Industry 4.0
    Publikacja

    - Procedia Computer Science - Rok 2020

    This paper presents the idea of supporting product inspection planning process during the early stages of product life cycle for the experts working on product development. Aim of this research is to assist a collaborative product development process by using Smart Virtual Product Development (SVPD) system, which is based on Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). The proposed system is developed...

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Rok 2019
Rok 2018
  • Three levels of fail-safe mode in MPI I/O NVRAM distributed cache

    The paper presents architecture and design of three versions for fail-safe data storage in a distributed cache using NVRAM in cluster nodes. In the first one, cache consistency is assured through additional buffering write requests. The second one is based on additional write log managers running on different nodes. The third one benefits from synchronization with a Parallel File System (PFS) for saving data into a new file which...

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Rok 2017
Rok 2016
  • Designing Intelligent Factory: Conceptual Framework and Empirical Validation
    Publikacja

    - Procedia Computer Science - Rok 2016

    This paper presents a framework for monitoring, analysing and decision making for a smart manufacturing environment. We maintain that this approach could play a vital role in developing an architecture and implementation of Industry 4.0. The proposed model has features like experience based knowledge representation and semantic analysis of engineering objects and manufacturing process. It is also capable of continuous real time...

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Rok 2015
Rok 2014
  • Ensemble Classifier for Mining Data Streams
    Publikacja

    - Procedia Computer Science - Rok 2014

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  • Fast Low-fidelity Wing Aerodynamics Model for Surrogate-Based Shape Optimization
    Publikacja

    Variable-fidelity optimization (VFO) can be efficient in terms of the computational cost when compared with traditional approaches, such as gradient-based methods with adjoint sensitivity information. In variable-fidelity methods, the directoptimization of the expensive high-fidelity model is replaced by iterative re-optimization of a physics-based surrogate model, which is constructed from a corrected low-fidelity model. The success...

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  • Image projection in Immersive 3D Visualization Laboratory

    In recent years, many centers in the world attempted to build a virtual reality laboratory. The main idea of such laboratory is to allow the user to “immerse” into and move in a computer-generated virtual world. In the paper, the underlying principles of the system of virtual reality (VR) are described. The selected implementations constructed by the research centers of the world are also presented. The cave automatic virtual environment...

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

    - Procedia Computer Science - Rok 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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  • Low-Cost EM-Simulation-Driven Multi-Objective Optimization of Antennas
    Publikacja

    A surrogate-based method for efficient multi-objective antenna optimization is presented. Our technique exploits response surface approximation (RSA) model constructed from sampled low-fidelity antenna model (here, obtained through coarse-discretization EM simulation). The RSA model enables fast determination of the best available trade-offs between conflicting design goals. A low-cost RSA model construction is possible through...

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  • Nested Space Mapping Technology for Expedite EM-driven Design of Compact RF/microwave Components
    Publikacja

    A robust simulation-driven methodology for rapid and reliable design of RF/microwave circuits comprising compact microstrip resonant cells (CMRCs) is presented. We introduce a nested space mapping (NSM) technology, in which the inner space mapping layer is utilized to improve the generalization capabilities of the equivalent circuit model corresponding to a constitutive element of the circuit under consideration. The outer layer...

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  • Optimization model of agile team’s cohesion
    Publikacja

    - Procedia Computer Science - Rok 2014

    Team’s cohesion is one of the most important factors of IT project execution effectiveness. Optimization of team’s cohesion gives the possibility of reducing the risk of project failure. It also allows to increase the teamwork efficiency and thus optimize time of tasks execution, increase the guarantee of maintaining the scope of the project and the chance of achieving a given level of products quality. This article presents determination...

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  • Preface
    Publikacja

    - Procedia Computer Science - Rok 2014

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  • The Hybrid Fuzzy - SOEKS Approach to the Polish Internet Mortgage Market

    The paper presents the hybrid fuzzy- SOEKS approach to the Polish Internet mortgage market, which is treated as an example of a fast changing market. Firstly, the market and market problems are described. Then, the first approach to the market problems is presented: the complete fuzzy model which was built basing on the rules. The fuzzy model is presented on one real data case. Next, the new approach, called Set of Experience Knowledge...

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  • Tools, Methods and Services Enhancing the Usage of the Kepler-based Scientific Workflow Framework
    Publikacja
    • M. Płóciennik
    • S. Winczewski
    • P. Ciecieląg
    • F. Imbeaux
    • B. Guillerminet
    • P. Huynh
    • M. Owsiak
    • P. Spyra
    • T. Aniel
    • B. Palak... i 3 innych

    - Procedia Computer Science - Rok 2014

    Scientific workflow systems are designed to compose and execute either a series of computational or data manipulation steps, or workflows in a scientific application. They are usually a part of a larger eScience environment. The usage of workflow systems, however very beneficial, is mostly not irrelevant for scientists. There are many requirements for additional functionalities around scientific workflows systems that need to be...

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  • Viability of decisional DNA in robotics
    Publikacja

    - Procedia Computer Science - Rok 2014

    The Decisional DNA is an artificial intelligence system that uses prior experiences to shape future decisions. Decisional DNA is written in the Set Of Experience Knowledge Structure (SOEKS) and is capable of capturing and reusing a broad range of data. Decisional DNA has been implemented in several fields including Alzheimer’s diagnosis, geothermal energy and smart TV. Decisional DNA is well suited to use in robotics due to the...

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