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Wyniki wyszukiwania dla: data palm leaflers

Wyniki wyszukiwania dla: data palm leaflers

  • Technical physics (Data Engineering)_23/24

    Kursy Online
    • D. Głowienka
    • S. Bielski
    • A. Sbai
    • R. C. Sia

    Field of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.

  • Manufacturing Data Analysis in Internet of Things/Internet of Data (IoT/IoD) Scenario

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2018

    Computer integrated manufacturing (CIM) has enormous benefits as it increases the rate of production, reduces errors and production waste, and streamlines manufacturing sub-systems. However, there are some new challenges related to CIM operating in the Internet of Things/Internet of Data (IoT/IoD) scenarios associated with Industry 4.0 and cyber-physical systems. The main challenge is to deal with the massive volume of data flowing...

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  • Data Structures (Doctoral Studies) - New

    Kursy Online
    • K. Goczyła

    The course is designed to provide students with the knowledge regarding basic data structures and associated algorithms used in broad range of applications. Students will also gain knowledge about how to evaluate the quality of algorithms in the context of time and space usage. Additionally, during seminars, students get familiar with biographies of most famous creators of the algorithms.

  • Basics of Data Warehouses Path

    Kursy Online
    • A. Nabożny
    • G. Gołaszewski
    • T. Zawadzka
    • K. Goczyła

    Within this path the basic aspects of data warehouses (architecture, star schema, etc.) are discussed. The course is intended for students of the 1st degree of Informatics Field (semester 5) -  Kurs planowany dla studentów I stopnia kierunku informatyka (semestr 5) - przedmiot Hurtownie danych oraz dla studentów II stopnia kierunku informatyka, specjalność ZAD.

  • Big Data

    Czasopisma

    ISSN: 2167-6461 , eISSN: 2167-647X

  • Genomics Data

    Czasopisma

    ISSN: 2213-5960

  • Data Intelligence

    Czasopisma

    eISSN: 2641-435X

  • Data & Policy

    Czasopisma

    eISSN: 2632-3249

  • The Bridge of Data Project Objectives

    Publikacja

    Open Research Data (ORD) is one of the emerging trends for researchers across the globe. However, it has to be stressed that the level of implementation and awareness of ORD varies between countries. Many initiatives have been created in Polish scientific institutions to support the process of opening publications. These are mainly Open Access (OA) repositories, implementing the so-called green road of OA. However, only a few universities...

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  • Big Data processing frameworks - 2022

    Kursy Online
    • A. Przybyłek

    Informatics, postgraduate studies Data Engineering, undergraduate studies

  • Big Data processing frameworks - 2023

    Kursy Online
    • A. Przybyłek

    Informatics, postgraduate studies Data Engineering, undergraduate studies

  • Big Data processing frameworks - 2024

    Kursy Online
    • A. Przybyłek

    Informatics, postgraduate studies Data Engineering, undergraduate studies

  • Mono- and bimetallic (Pt/Cu) titanium(IV) oxide photocatalysts. Physicochemical and photocatalytic data of magnetic nanocomposites’ shell

    Publikacja

    - Data in Brief - Rok 2020

    Surface modification of titania with noble and semi-noble metals resulted in significant enhancement of photocatalytic activity. Presented data, showing the photocatalytic properties of TiO2-M (where M is Pt and/or Cu) photocatalysts were further used as Fe3O4@SiO2/TiO2-M magnetic nanocomposites shells in "Mono- and bimetallic (Pt/Cu) titanium(IV) oxide core-shell photocatalysts with Vis light activity and magnetic separability"...

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  • Anna Wałek dr

    Osoby

    Dr Anna Wałek, Prezydent International Association of University Libraries (IATUL), dyrektor Biblioteki Politechniki Gdańskiej, ekspert w zakresie otwartego dostępu do zasobów naukowych (Open Science, Open Access, Open Research Data) oraz organizacji i zarządzania biblioteką naukową. Od lutego 2023 r. ekspert i Koordynator Hubu Wschodniego (East Hub) w ramach projektu Focusing on Open, Collaboration and Useful Science (EOSC Focus)...

  • Processing of Satellite Data in the Cloud

    Publikacja

    The dynamic development of digital technologies, especially those dedicated to devices generating large data streams, such as all kinds of measurement equipment (temperature and humidity sensors, cameras, radio-telescopes and satellites – Internet of Things) enables more in-depth analysis of the surrounding reality, including better understanding of various natural phenomenon, starting from atomic level reactions, through macroscopic...

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  • Analiza danych typu Big Data 2022/23

    Kursy Online
    • P. Weichbroth
    • W. Waloszek

    The aim of the course is to familiarize students with the methods of storing and analysis of big data. Practical tools for these tasks are presented.

  • DATA JOURNALS AND DATA PAPERS IN VARIOUS RESEARCH AREAS AND SCIENTIFIC DISCIPLINES – BIBLIOMETRIC ANALYSIS BASED ON INCITES

    Publikacja

    The main aim of this work is to provide insight into a bibliometric analysis of Data Journals and Data Papers in terms of research areas, disciplines, publication year and country. In particular, we calculated many bibliometric indicators, especially: the number of publications and citations. Furthermore, this work also investigated the top 20 journals in which scientists published the largest number of Data Papers. It was found...

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  • Analiza danych typu Big Data 2024/25

    Kursy Online
    • P. Weichbroth
    • W. Waloszek

    The aim of the course is to familiarize students with the methods of acquiring, storing, and analyzing big data. Practical tools for these tasks are presented.

  • Data Mining Applications and Methods in Medicine

    Publikacja

    In this paper we describe the research area of data mining and its applications in medicine. The origins of data mining and its crucial features are shortly presented. We discuss the specificity of medicine as an application area for computer systems. Characteristic features of the medical data are investigated. Common problems in the area are also presented as well as the strengths and capabilities of the data mining methods....

  • Sharing research data across disciplines

    Publikacja

    - Rok 2022

    This monograph is a collection of experiences gathered by the team implementing the Bridge of Data project. However, it is not just a simple summary of the project implementation. It shows and systematizes the substantive and technical works performed by the teams and several issues related to data management itself in various disciplines, represented by members of the scientific team and other researchers from partner universities.The...

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  • Deep neural networks for data analysis

    Kursy Online
    • K. Draszawka

    The aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...

  • Application of the Heavy-Atom Effect for (Sub)microsecond Thermally Activated Delayed Fluorescence and an All-Organic Light-Emitting Device with Low-Efficiency Roll-off

    Publikacja
    • M. Mońka
    • S. Gogoc
    • K. Kozakiewicz
    • V. Ievtukhov
    • D. Grzywacz
    • O. Ciupak
    • A. Kubicki
    • P. Bojarski
    • P. Data
    • I. E. Serdiuk

    - ACS Applied Materials & Interfaces - Rok 2024

    Thefeatureof abundantandenvironmentallyfriendlyheavyatoms(HAs)like bromineto acceleratespin-forbiddentransitionsin organicmoleculeshas beenknownforyears.In combinationwiththe easinessof incorporation,brominederivativesof organicemittersshowingthermallyactivateddelayedfluorescence(TADF)emergeas a cheapand efficientsolutionforthe slowreverseintersystemcrossing(rISC)problemin suchemittersand strongefficiencyroll-offof all-organiclight-emittingdiodes(OLEDs).Here,we...

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  • Radar data fusion in the STRADAR system

    The main task of the Polish Border Guard is protection of the country’s border which requires utilization of multimedia surveillance systems automatically gathering, processing and sharing various data. The paper presents such a system developed for the Maritime Division of the Polish Border Guard within the STRADAR project and the problem of fusion of radar data in this system. The system, apart from providing communication means,...

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  • Big Data in Regenerative Urban Design

    Why the use of Big Data in regenerative planning matters? The aim of this chapter is to study under what conditions Big Data can be integrated into regenerative design and sustainable planning? Authors seek to answer how – when related to the ecosystem and to human activities – Big Data can be used to: • both shape policies that support the development of regenerative human settlements, • support restorative design for practitioners...

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  • The Use of Big Data in Regenerative Planning

    With the increasing significance of Big Data sources and their reliability for studying current urban development processes, new possibilities have appeared for analyzing the urban planning of contemporary cities. At the same time, the new urban development paradigm related to regenerative sustainability requires a new approach and hence a better understanding of the processes changing cities today, which will allow more efficient...

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  • CPLFD-GDPT5: High-resolution gridded daily precipitation and temperature data set for two largest Polish river basins

    Publikacja
    • T. E. Berezowski
    • M. Szcześniak
    • I. Kardel
    • R. Michałowski
    • T. Okruszko
    • A. Mezghani
    • M. Piniewski

    - Earth System Science Data - Rok 2016

    The CHASE-PL (Climate change impact assessment for selected sectors in Poland) Forcing Data–Gridded Daily Precipitation & Temperature Dataset–5 km (CPLFD-GDPT5) consists of 1951–2013 daily minimum and maximum air temperatures and precipitation totals interpolated onto a 5 km grid based on daily meteorological observations from the Institute of Meteorology and Water Management (IMGW-PIB; Polish stations), Deutscher Wetterdienst...

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  • A Text as a Set of Research Data. A Number of Aspects of Data Acquisition and Creation of Datasets in Neo-Latin Studies

    Publikacja

    In this paper, the authors, who specialise in part in neo-Latin studies and the his-tory of early modern education, share their experiences of collecting sources for Open Research Data sets under the Bridge of Data project. On the basis of inscription texts from St. Mary’s Church in Gdańsk, they created 29 Open Research Data sets. In turn, the text of the lectures of the Gdańsk scholar Michael Christoph Hanow, Praecepta de arte...

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  • Enhanced uniform data sampling for constrained data‐driven modeling of antenna input characteristics

    Data-driven surrogates are the most popular replacement models utilized in many fields of engineering and science, including design of microwave and antenna structures. The primary practical issue is a curse of dimensionality which limits the number of independent parameters that can be accounted for in the modelling process. Recently, a performance-driven modelling technique has been proposed where the constrained domain of the...

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  • Collaborative Data Acquisition and Learning Support

    With the constant development of neural networks, traditional algorithms relying on data structures lose their significance as more and more solutions are using AI rather than traditional algorithms. This in turn requires a lot of correctly annotated and informative data samples. In this paper, we propose a crowdsourcing based approach for data acquisition and tagging with support for Active Learning where the system acts as an...

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  • Analiza danych typu Big Data 2023/24 KOPIA

    Kursy Online
    • W. Waloszek

    The aim of the course is to familiarize students with the methods of storing and analysis of big data. Practical tools for these tasks are presented.

  • Active Learning Based on Crowdsourced Data

    The paper proposes a crowdsourcing-based approach for annotated data acquisition and means to support Active Learning training approach. In the proposed solution, aimed at data engineers, the knowledge of the crowd serves as an oracle that is able to judge whether the given sample is informative or not. The proposed solution reduces the amount of work needed to annotate large sets of data. Furthermore, it allows a perpetual increase...

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  • Streaming Real-time Data in Distributed Dispatcher and Teleinformation Systems for Visualization of Multimedia Data of the Border Guard

    Surveillance of the sea borders is a very important task for the Border Guard. Monitoring of country maritime border is an important task of the Border Guard. This task can be facilitated with the use of the technology enabling gathering information from distributed sources and its supervision and visualization. This task can be accomplished using a technology that allows to collect information from distributed sensors of different...

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  • On the impact of Big Data and Cloud Computing on a scalable multimedia archiving system

    Multimedia Archiver (MA) is a system build upon the promise and fascination of the possibilities emerging from cloud computing and big data. We aim to present and describe how the Multimedia Archiving system works for us to record, put in context and allow a swift access to large amounts of data. We introduce the architecture, identified goals and needs taken into account while designing a system processing data with Big Data...

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  • Big Data Analytics for ICT Monitoring and Development

    Publikacja

    - Rok 2017

    The expanded growth of information and communication technology has opened new era of digitization which is proving to be a great challenge for researchers and scientists around the globe. The utmost paradigm is to handle and process the explosion of data with minimal cost and discover relevant hidden information in the least amount of time. The buzz word “BIG DATA” is a widely anticipated term with the potential to handle heterogeneous,...

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  • 3D MODELLING OF CYLINDRICAL-SHAPED OBJECTS FROM LIDAR DATA - AN ASSESSMENT BASED ON THEORETICAL MODELLING AND EXPERIMENTAL DATA

    Despite the increasing availability of measured laser scanning data and their widespread use, there is still the problem of rapid and correct numerical interpretation of results. This is due to the large number of observations that carry similar information. Therefore, it is necessary to extract from the results only the essential features of the modelled objects. Usually, it is based on a process using filtration, followed by...

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  • Linking music data in executable documents

    Publikacja

    - Rok 2022

    This paper presents the application of Interactive Open Document Architecture (IODA) to music and video data. This architecture was design to create multilayer documents which consist of many files. The paper shows the method of creating media documents on the basis of IODA. These kind of documents were called IODA Media Documents (IMD). IMD have links that connect many different kinds of files containing music and video data....

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  • Big Data 2023

    Kursy Online
    • P. Jasik

  • Data quality assurance

    Kursy Online

    The first lecture: 22.02.2021 at 8:15 on Teams Pierwszy wykład: 22.02.2021 o 8:15 w Teams ---------------------------------------------- Kierunek: Inżynieria danych (WETI) Studia I stopnia - inżynierskie, stacjonarne, semestr 6

  • Data quality assurance

    Kursy Online
    • P. Weichbroth

  • Advanced data mining

    Kursy Online
    • A. Kołakowska
    • A. Karpus

  • Data reduction and stacking for imbalanced data classification

    Publikacja

    - Journal of Intelligent & Fuzzy Systems - Rok 2019

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  • GIS Solution for Weather Forecast Data Analysis

    Publikacja

    In this paper authors present the GIS system for the analysis of the numerical weather prediction data. This kind of data has multidimensional character (three dimensions and time) and its analysis should consider all the available factors. Proposed GIS system consists of RASDAMAN application with implemented OLAP cube mechanism, which enables the user to process data in the spatial-time domain. It also simplifies the meteorological...

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  • The methods of secure data transmission in the KNX system

    The article presents the demands concerning data security in distributed building automation systems and shows the need for providing mechanisms of secure communication in the KNX system. Three different methods developed for KNX data protection are discussed: EIBsec, KNX Data Security and the author's method. Their properties are compared and potential areas of application are presented.

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  • Massive surveillance data processing with supercomputing cluster

    In recent years, increasingly complex algorithms for automated analysis of surveillance data are being developed. The rapid growth in the number of monitoring installations and higher expectations of the quality parameters of the captured data result in an enormous computational cost of analyzing the massive volume of data. In this paper a new model of online processing of surveillance data streams is proposed, which assumes the...

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  • Towards Open Research Data in the Economics Discipline

    Publikacja

    Nowadays, Open Research Data, as one of the three pillars of Open Science (along with Open Access and Open Scholarly Communication), is gaining enormous attention from different academic and commercial environments. A wide range of scientific disciplines represent and produce different types of data and at the same time, gather different issues and problems in terms of sharing and dissemination research output. This chapter aims...

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  • A Survey on the Datasets and Algorithms for Satellite Data Applications

    This survey compiles insights and describes datasets and algorithms for applications based on remote sensing. The goal of this review is twofold: datasets review for particular groups of tasks and high-level steps of data flow between satellite instruments and end applications from an implementation and development perspective. The article outlines the generalized data processing pipelines, taking into account the variations in...

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  • Automated anonymization of sensitive data on production unit

    The article presents an approach to data anonymization with the use of generally available tools. The focus is put on the practical aspects of using open-source tools in conjunction with programming libraries provided by suppliers of industrial control systems. This universal approach shows the possibilities of using various operating systems as a platform for process data anonymization. An additional advantage of the described...

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  • Interaction with medical data using QR-codes

    Publikacja

    Bar-codes and QR-codes (Quick Response ) are often used in healthcare. In this paper an application of QR-codes to exchange of laboratory results is presented. The secure data exchange is proposed between a laboratory and a patient and between a patient and Electronic Health Records. Advanced Encryption Standard was used to provide security of data encapsulated within a QR-code. The experimental setup, named labSeq is described....

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  • On the compression of multibeam sonar raw bathymetry data

    Publikacja

    Multibeam sonars are widely used in applications like high resolution bathymetry measurements or underwater object imaging. One of the significant problems in multibeam sensing of the marine environment is large amount of data which must be transmitted from the sonar processing unit to an operator station using a limited bit rate channel. For instance, such a situation would be in the case when the multibeam sonar was mounted on...

  • Web Services Integration with Regard to the Metrics of Data Believability

    Publikacja

    - Rok 2012

    The paper is concerned with estimating the believability of data acquired from web services. In the paper, a new method for believability estimation is introduced. The method is designed for integrating web services. The believability estimation is based on the following metrics: quantity, reputation, approval, independence, traceability, maturity, authority and objectivity. In the method, data trustworthiness is determined by...