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Search results for: FACEBOOK DATA
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Multibaem Sonar Records Data Decimation Using Hierarchical Spline Interpolation
PublicationMultibeam sonar records feature high vertical and horizontal resolution. Interpolating and approximating, eventually displaying of of high volume scattered 3D raster data leads to some difficulties related to a computer processing power. The paper presents some advantages of using hierarchical splines in the context. Such an approach facilitates real time 3D MBS data rendering.
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Data Compression in Ultrasonic Network Communication via Sparse Signal Processing
PublicationThis document presents the approach of using compressed sensing in signal encoding and information transferring within a guided wave sensor network, comprised of specially designed frequency steerable acoustic transducers (FSATs). Wave propagation in a damaged plate was simulated using commercial FEM-based software COMSOL. Guided waves were excited by means of FSATs, characterized by the special shape of its electrodes, and modeled...
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Earth System Science Data
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Chemometric exploration of sea water chemical component data sets with missing elements
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Performance of the CMS hadron calorimeter with cosmic ray muons and LHC beam data
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Self-organizing Artificial Neural Networks into Hydrographic Big Data Reduction Process
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Hierarchical Hydrographic Data Fusion for Precise Port Electronic Navigational Chart Production
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The Application Of Local Indicators For Categorical Data (LICD) In The Spatial Analysis Of Economic Development
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A method for detecting possible near miss ship collisions from AIS data
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Architecture for Aggregation, Processing and Provisioning of Data from Heterogeneous Scientific Information Services
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An endotracheal tube mounted camera for intubation during cardiopulmonary resuscitation. Preliminary data
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Web-based GIS technologies dedicated for presenting semi-dynamic geospatial data
PublicationSieciowe technologie prezentacji danych przestrzennych przeżywają aktualnie rozkwit spowodowany między innymi spadającymi cenami sprzętu komputerowego. Wynikający z tego wzrost wydajności domowych i biurowych stacji roboczych pozwala na praktyczne zastosowanie czasochłonnych algorytmów wizualizacji i przetwarzania skomplikowanych danych rastrowych i wektorowych. Niniejszy artykuł omawia wybrane technologie sieciowej prezentacji...
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INDIVIDUAL TREE DETECTION FROM UAV LIDAR DATA IN A MIXED SPECIES WOODLAND
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Adaptive filtering of microarray gene expression data based on Gaussian mixture decomposition
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Modeling of Imaging Mass Spectrometry Data and Testing by Permutation for Biomarkers Discovery in Tissues
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Forest Inventory Data Reveal Stand History from 115 Years Ago
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Statistical data of hull main parameters useful for preliminary design of SWATH ships
PublicationW artykule przedstawiono rezultaty badań dotyczących statystycznych relacji głównych parametrów projektowych kadłuba statków typu SWATH, wykonanych w oparciu o zebrane w literaturze przedmiotu dane o ponad osiemdziesięciu statkach. Zależności statystyczne przedstawiono w postaci histogramów: długości statku L, histogramów wartości stosunków długości do szerokości L/B, długości do wysokości bocznej L/H, długości pływaków do ich...
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development of an open source software to transform acoustic data for classification of benthic habitat
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Brain perfusion imaging with the use of parametric modelling basing on DSC-MRI data
PublicationW pracy do estymacji parametrów perfuzji mózgu: przepływu krwi mózgowej (cerebral blood flow, CBF), objętości krwi mózgowej (cerebral blood volume, CBV) oraz średniego czasu przejścia (mean transit time, MTT) wykorzystano pomiary DSC-MRI (Dynamic Susceptibility Contrast Magnetic Resonance Imaging). W modelowaniu danych MRI zastoswoano model trzykompartmentowy. Przedstawiono i porównano dwa podejścia do identyfikacji modelu różniące...
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Analysis of Business Customers’ Energy Consumption Data Registered by Trading Companies in Poland
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Multi-Label Classification for AIS Data Anomaly Detection Using Wavelet Transform
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Learning from Imbalanced Data Streams Based on Over-Sampling and Instance Selection
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The Influence of Input Data Standardization Method on Prediction Accuracy of Artificial Neural Networks
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Machine Learning and data mining tools applied for databases of low number of records
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Artificial intelligence and productivity: global evidence from AI patent and bibliometric data .
PublicationIn this paper we analyse the relationship between technological innovation in the artificial intelligence (AI) domain and macroeconomic productivity. We embed recently released data on patents and publications related to AI in an augmented model of productivity growth, which we estimate for the OECD countries and compare to an extended sample including non-OECD countries. Our estimates provide evidence in favour of the modern...
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Particulate organic carbon in the southern Baltic Sea: numerical simulations and experimental data
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New supervised alignment method as a preprocessing tool for chromatographic data in metabolomic studies
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Structures for parameterization, meshing and data exchange of topologically related surfaces of a ship hull
PublicationThis paper presents proposal of data structures for storage and processing of a parametric three-dimensional model of a midship hull sections. The model consists of coarse surfaces like: decks, frames, girders, stiffeners, brackets, partitions etc. bounded by topological relations. All workshop details are omitted as the model is intended for numeric calculations. Proposed data structures are prepared to facilitate changes in the...
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Algorithms for spatial analysis and interpolation of discrete sets of Critical Infrastructure hazard data
PublicationNowo opracowane zaawansowane narzędzia technologii informacyjnych i komunikacyjnych (TIK) ujawniają swoją przydatność do przewidywania różnego rodzaju zagrożeń oraz minimalizowania związanego z nimi potencjalnego ryzyka. Jednakże większość tych narzędzi operuje jedynie na niektórych typach infrastruktury i zaniedbuje ich przestrzenne interakcje z otoczeniem oraz innymi strukturami. Niniejszy artykuł zawiera propozycje kilku algorytmów...
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Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data
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The Scalable Distributed Two-layer Content Based Image Retrieval Data Store
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An accurate assignment test for extremely low‐coverage whole‐genome sequence data
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An accurate assignment test for extremely low-coverage whole-genome sequence data
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Overcoming “Big Data” Barriers in Machine Learning Techniques for the Real-Life Applications
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Integrated multiscale 3d imaging geographic information system using acoustic data
PublicationW artykule zaprezentowano prototyp zintegrowanego systemu informacji geograficznej do trójwymiarowej wizualizacji danych uzyskanych metodami akustycznymi. System wykorzystuje dane pochodzące z systemów wielowiązkowych, sonarów bocznych oraz echosond jednowiązkowych. Otrzymane wyniki zostały zaprezentowane w postaci trójwymiarowych interaktywnych scen obszaru Zatoki Gdańskiej.
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An application of advanced data processing methods to response analysis of electrocatalytic gas sensor
PublicationPrzedstawiono stosowane dotychczas oraz zaproponowano nowe metody analizy odpowiedzi czujników elektrokatalitycznych. Porównano ich właściwości.
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Performance of data transmission in UMTS with turbo code about decreased number of states
PublicationIn the paper a structure of turbo encoder and decoder about decreased number of states has been described. The simulation results of transmission performance based on turbo coding without the reduction of the number of iterations for the uplink and downlink of WCDMA/FDD interface have been presented. The SOVA algorithm for turbo decoding has been used. The investigations have been carried out for Outdoor to Indoor & Pedestrian...
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Solvation of N-methylformamide by ethanol: a comparison of molecular dynamics calculations with the experimental data
PublicationWykonano obliczenia metodami dynamiki molekularnej dla tytułowego układu. Rezultaty porównano z uzyskanymi wcześniej wynikami pomiarów termodynamicznych oraz wnioskami z nich wyciągniętymi.
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Kalman filtering for 3d real time data visualisation of multibeam sonar records.
PublicationPrzedstawiono zastosowanie filtracji Kalmana do korekcji błędów systematycznych występujących w danych pochodzących z systemu wielozwiązkowego. Zaproponowano dwuetapową filtrację danych dla każdego wachlarza danych, która realizowana jest w czasie rzeczywistym. Zaprezentowano rezultaty wizualizacji dna morskiego przed i po filtracji.
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Thermal Image Processing for Respiratory Estimation from Cubical Data with Expandable Depth
PublicationAs healthcare costs continue to rise, finding affordable and non-invasive ways to monitor vital signs is increasingly important. One of the key metrics for assessing overall health and identifying potential issues early on is respiratory rate (RR). Most of the existing methods require multiple steps that consist of image and signal processing. This might be difficult to deploy on edge devices that often do not have specialized...
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Driving forces of informal employment: An empirical study based on Polish enterprise data
PublicationObjective: The article aims to indicate the determinants of informal employment in registered enterprises using company-level evidence from Poland. Research Design & Methods: The survey conducted among Polish small and medium-sized (SME) enterprises in 2018 was used to find the driving forces of informal employment in Poland. The adequate sample comprised 952 representative surveys derived from the computer-assisted telephone...
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Discovering relationships between data in an enterprise information system using log analysis
PublicationEnterprise systems are inherently complex and maintaining their full, up-to-date overview poses a serious challenge to the enterprise architects’ teams. This problem encourages the search for automated means of discovering knowledge about such systems. An important aspect of this knowledge is understanding the data that are processed by applications and their relationships. In our previous work, we used application logs of an enterprise...
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Exploring Relationships Between Data in Enterprise Information Systems by Analysis of Log Contents
PublicationEnterprise systems are inherently complex and maintaining their full, up-to-date overview poses a serious challenge to the enterprise architects’ teams. This problem encourages the search for automated means of discovering knowledge about such systems. An important aspect of this knowledge is understanding the data that are processed by applications and their relationships. In our previous work, we used application logs of an enterprise...
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Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data
PublicationThis paper describes a research study that investigates the use of machine learning algorithms on synthetic data to classify the risk of developing preeclampsia by pregnant women. Synthetic datasets were generated based on parameter distributions from three real patient studies. Four models were compared: XGBoost, Support Vector Machine (SVM), Random Forest, and Explainable Boosting Machines (EBM). The study found that the XGBoost...
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Data-Driven Modeling of Mechanical Properties of Fiber-Reinforced Concrete: A Critical Review
PublicationFiber-reinforced concrete (FRC) is extensively used in diverse structural engineering applications, and its mechanical properties are crucial for designing and evaluating its performance. The compressive, flexural, splitting tensile, and shear strengths of FRCs are among the most important attributes, which have been discussed more extensively than other properties. The accurate prediction of these properties, which are required...
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Experimental Study of Polish Sausage Drying Kinetics and Contraction by Image Data Analysis
PublicationThe goal of this paper has been to add an experimental data set for drying a meat product and provide a comparison with well-established thin-layer drying models. This article presented experimental investigations on the convective drying of Polish sausage slices at a temperature of 40°C. Slices have been in the thickness of 3 to 8mm. Measurements of mass loss and size change were performed. The data have been presented in the...
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Fault detection in the marine engine using a support vector data description method
PublicationFast detection and correct diagnosis of any engine condition changes are essential elements of safety andenvironmental protection. Many diagnostic algorithms significantly improve the detection of malfunctions.Studies on diagnostic methods are rarely reported and even less implemented in the marine engine industry.To fill this gap, this paper presents the Support Vector Data Description (SVDD) method as applied to thefault detection...
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Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data
PublicationThe field of cancer diagnostics has been revolutionized by liquid biopsies, which offer a bridge between laboratory research and clinical settings. These tests are less invasive than traditional biopsies and more convenient than routine imaging methods. Liquid biopsies allow studying of tumor-derived markers in bodily fluids, enabling the development of more precise cancer diagnostic tests for screening, disease monitoring, and...
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Data-driven, probabilistic model for attainable speed for ships approaching Gdańsk harbour
PublicationThe growing demand for maritime transportation leads to increased traffic in ports. From this arises the need to observe the consequences of the specific speed ships reach when approaching seaports. However, usually the analyzed cases refer only to the statistical evaluation of the studied phenomenon or to the empirical modelling, ignoring the mutual influence of variables such as ship type, length or weather conditions. In this...
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thestats: An Open-Data R Package for Exploring Turkish Higher Education Statistics
PublicationThere are open datasets available for official statistics, finance, education, and a variety of other domains. The open datasets are published by third-party vendors as well as official authorities. For example, The Turkish Higher Education Council maintains a web portal dedicated to higher education in Türkiye. Detailed datasets about universities, faculties, and departments can be obtained from the portal. Using the data provided...