Catalog Publications
Publications starting with: U clear
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Catalog Publications
Year 2023
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Urban flash flood hazard identification and assessment applying geospatial techniques and hydrodynamic modeling; Erbil city case study, Kurdistan Region of Iraq
PublicationThis dissertation aims to investigate the factors behind flash flooding in Erbil's central district, located in the Kurdistan Region of Iraq, and develop a methodology for assessing flood hazards in the city, despite limited data accessibility. In this thesis, each factor was investigated, including analyzing extreme precipitation events in the last two decades, including their spatial and temporal distribution of rainfall, intensity,...
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Urban scene semantic segmentation using the U-Net model
PublicationVision-based semantic segmentation of complex urban street scenes is a very important function during autonomous driving (AD), which will become an important technology in industrialized countries in the near future. Today, advanced driver assistance systems (ADAS) improve traffic safety thanks to the application of solutions that enable detecting objects, recognising road signs, segmenting the road, etc. The basis for these functionalities...
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Usability study of various biometric techniques in bank branches
PublicationThe purpose of the presented research was to evaluate the performance of the prepared biometric algorithms and obtain information on the opinions and preferences of their users in bank branches. The study aimed to determine users' attitudes towards particular modalities and preferences on how to use biometrics after the bank customers had practical experience with the operation of the prototype solutions. The research results...
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Use of personal knowledge of 8-year-old students in creative solving of technical tasks
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Use of public-private partnerships for revitalization initiatives in Poland
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Use of rapid immunochromatographic tests and PCR for the detection of vaccine viruses (CPV, CDV CAV) in faeces and conjunctival sac swabs of vaccinated dogs
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Use of Silybum marianum Extract and Bio-Ferment for Biodegradable Cosmetic Formulations to Enhance Antioxidant Potential and Effect of the Type of Vehicle on the Percutaneous Absorption and Skin Retention of Silybin and Taxifolin
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Use of the AHP Method for Preference Determination in Yacht Design
PublicationA sailing yacht is a human-centred product, the design of which revolves primarily around the wants and desires of the future owner. In most cases, these preferences are not measurable, such as a personal aesthetic feeling, or a need for comfort, speed, safety etc. The aims of this paper are to demonstrate that these preferences can be classified and represented numerically, and to show that they are correlated with the type of...
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Use of the AHP Method for Preference Determination in Yacht Design
PublicationA sailing yacht is a human-centred product, the design of which revolves primarily around the wants and desires of the future owner. In most cases, these preferences are not measurable, such as a personal aesthetic feeling, or a need for comfort, speed, safety etc. The aims of this paper are to demonstrate that these preferences can be classified and represented numerically, and to show that they are correlated with the type...
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User Authentication by Eye Movement Features Employing SVM and XGBoost Classifiers
PublicationDevices capable of tracking the user’s gaze have become significantly more affordable over the past few years, thus broadening their application, including in-home and office computers and various customer service equipment. Although such devices have comparatively low operating frequencies and limited resolution, they are sufficient to supplement or replace classic input interfaces, such as the keyboard and mouse. The biometric...
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USING ARTIFICIAL NEURAL NETWORKS FOR PREDICTING SHIP FUEL CONSUMPTION
PublicationIn marine vessel operations, fuel costs are major operating costs which affect the overall profitability of the maritime transport industry. The effective enhancement of using ship fuel will increase ship operation efficiency. Since ship fuel consumption depends on different factors, such as weather, cruising condition, cargo load, and engine condition, it is difficult to assess the fuel consumption pattern for various types...
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Using Continuous Integration Techniques in Open Source Projects – An Exploratory Study
PublicationFor a growing number of software projects, continuous integration (CI) techniques are becoming an essential part of the process. However, the maturity of their adoption in open source projects varies. In this paper, we present an empirical study on GitHub repositories to explore the use of continuous integration techniques in open source projects. Following the Goal-Question-Metric (GQM) approach, 3 research questions and 7 metrics...
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Using creative approaches for discovering biomorphic forms for appropriate human habitation in natural environments. Case study of Kashubian Lake District
PublicationThe research process consisted of studies of natural and cultural conditions of the Kashubian Lake District This is an area of exceptional natural conditions. For centuries, it has seen human habitation with respect to landscape values. Given its extensive forest cover and the lack of heterogeneity of natural conditions, the area has become an interesting inspiration for the author’s original project. The project is aimed at searching...
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Using Deep Neural Network Methods for Forecasting Energy Productivity Based on Comparison of Simulation and DNN Results for Central Poland – Swietokrzyskie Voivodeship
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Using Deep Neural Network Methods for Forecasting Energy Productivity Based on Comparison of Simulation and DNN Results for Central Poland—Swietokrzyskie Voivodeship
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Using Isolation Forest and Alternative Data Products to Overcome Ground Truth Data Scarcity for Improved Deep Learning-based Agricultural Land Use Classification Models
PublicationHigh-quality labelled datasets represent a cornerstone in the development of deep learning models for land use classification. The high cost of data collection, the inherent errors introduced during data mapping efforts, the lack of local knowledge, and the spatial variability of the data hinder the development of accurate and spatially-transferable deep learning models in the context of agriculture. In this paper, we investigate...
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Using neural networks to examine trending keywords in Inventory Control
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Using water sources extent during inundation as a reliable predictor for vegetation zonation in a natural wetland floodplain
PublicationDistinctive zones of inundation water during floods were shown to originate from different sources in some major floodplains around the world. Recent research showed that the zonation of water in rivers and floodplains is related to vegetation patterns. In spite of this, water source zones were not used for vegetation modeling due to difficulties in their delineation. In this study, we used simulation results of a fully-coupled...
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UWB-Based Indoor Navigation in a Flexible Manufacturing System Using a Custom Quadrotor UAV
PublicationA novel solution for indoor navigation of a transportation drone in flexible manufacturing is presented in this paper. To address the challenges of accurate and robust drone navigation in occluded environments, an ultra-wideband (UWB) navigation system has been integrated with a commercially available open source control platform. The system offers high accuracy (± 20 mm), low power consumption, resistance to electronic interference,...
Year 2022
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Układ sterowania 5-fazową maszyną synchroniczną z magnesami trwałymi (PMSM)
PublicationW pracy przedstawiono nowy układ sterowania bezczujnikowego 5-fazową maszyną synchroniczną z magnesami trwałymi zagłębionymi (IPMSM) . Zaproponowany układ wykorzystuje obserwator stanu dla zmiennych w pierwszym układzie współrzędnych (1 harmoniczna), jak i drugim (3 harmoniczna), w celu zwiększenia gęstości momentu elektromagnetycznego. Zaprezentowano schemat kompletnego układu sterowania, przebiegi zmiennych w stanie ustalonym,...