Wyszukiwarka
ISSN:
Punkty Ministerialne: Pomoc
| Rok | Punkty | Lista |
|---|---|---|
| Rok 2024 | 5 | Czasopisma spoza wykazu ministerialnego 2024 |
| 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:
Punkty CiteScore:
| Rok | Punkty |
|---|---|
| Rok 2022 | 4 |
| 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:
Sherpa Romeo:
Prace opublikowane w tym czasopiśmie
Filtry
wszystkich: 38
Katalog Czasopism
Rok 2023
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Sustainable Waste Management for Implementation of a Circular Economy Model in a Port
PublikacjaThe 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...
Rok 2022
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A note on the affective computing systems and machines: a classification and appraisal
PublikacjaAffective 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
PublikacjaThis 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
PublikacjaIn 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
PublikacjaThis 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
PublikacjaThe 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...
Rok 2021
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Integrating Experience-Based Knowledge Representation and Machine Learning for Efficient Virtual Engineering Object Performance
PublikacjaMachine 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
PublikacjaWith 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
PublikacjaOntologies 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...
Rok 2020
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Agile Requirements Prioritization in Practice: Results of an Industrial Survey
PublikacjaAgile 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
Publikacjaclassification 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
PublikacjaCurrent 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
PublikacjaIn 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
PublikacjaFor 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
PublikacjaResearch 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
PublikacjaThis 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...
Rok 2019
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Proposition of the methodology for Data Acquisition, Analysis and Visualization in support of Industry 4.0
PublikacjaIndustry 4.0 offers a comprehensive, interlinked, and holistic approach to manufacturing. It connects physical with digital and allows for better collaboration and access across departments, partners, vendors, product, and people. Consequently, it involves complex designing of highly specialized state of the art technologies. Thus, companies face formidable challenges in the adoption of these new technologies....
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Smart Virtual Product Development (SVPD) to Enhance Product Manufacturing in Industry 4.0
PublikacjaThis paper presents a system capable of enhancing product development process for industrial manufactured products. This system is known as Smart Virtual Product Development (SVPD), and it helps in decision making by using explicit knowledge of formal decision events. It stores and reuses the past decisional events or sets of experiences related to different activities involved in industrial product development process i.e. product...
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Visual content representation and retrieval for Cognitive Cyber Physical Systems
PublikacjaCognitive 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...
Rok 2018
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Three levels of fail-safe mode in MPI I/O NVRAM distributed cache
PublikacjaThe 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...
wyświetlono 2079 razy