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Self-Organising map neural network in the analysis of electromyography data of muscles acting at temporomandibular joint.
PublicationThe temporomandibular joint (TMJ) is the joint that via muscle action and jaw motion allows for necessary physiological performances such as mastication. Whereas mandible translates and rotates [1]. Estimation of activity of muscles acting at the TMJ provides a knowledge of activation pattern solely of a specific patient that an electromyography (EMG) examination was carried out [2]. In this work, a Self-Organising Maps (SOMs)...
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Clustering Bathymetric Data for Electronic Navigational Charts
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New distributional data on Bryophytes of Poland, 1
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Investigation for Genetic Signature of Radiosensitivity – Data Analysis
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Sensor data fusion techniques for environment modelling
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Carbon-Coated Tellurium for Optical Data Storage
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Sediment-quality assessment by intelligent data analysis
PublicationCoraz powszechniej do oceny jakości próbek środowiskowych osadów wykorzystuje się analizy chemometryczne. Ich głównym zadaniem jest znalezienie zależności pomiędzy wynikami analiz chemicznych oraz oszacowanymi parametrami toksyczności.Zastosowanie chemometrii w ocenie jakości próbek środowiskowych umożliwiłoby zredukowanie kosztów biomonitoringu prowadzonego na badanym obszarze poprzez optymalizację procedury badawczej.
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Multilevel pharmacokinetics-driven modeling of metabolomics data
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Frequent Sequence Mining in Web Log Data
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Distributed Data Reduction through Agent Collaboration
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An Approach to Data Reduction and Integrated Machine Classification
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Fish size distribution from acoustic data
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Deisgning the Data Warehouse for Decision Support System
PublicationRozdział w monografii jest poświecony problematyce budowy systemów z bazami wiedzy dla wspomagania procesów zarządzania. W rozdziale tym przedstawiono metody budowy hurtowni danych Na zakończenie przedstawiono przykład wykorzystania tych hurtowni na potrzeby systemów wspomagania decyzji
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Analysis of Rainfall Data of Gdansk Meteorological Station
PublicationW pracy przedstawiono wyniki analizy danych opadowych z okresu 51 lat (1951-2008) ze stacji meteorologicznej w Gdańsku. Analizę przeprowadzono zarówno dla sum rocznych opadów jak i sezonowych i miesięcznych. Dokonano również analizy maksymalnych sum dobowych opadów dla każdego miesiąca, badając ich zmienność w wieloleciu.
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Application of decisional DNA in web data mining
PublicationPrzedstawiono pilotową koncepcję i aplikację integracji reprezentacji wiedzy opartej na decyzyjnym DNA oraz systemów pozyskiwania wiedzy i danych z Internetu. Wskazano na zalety proponowanej integracji oraz przedstawiono kierunki przyszłych badań w tym zakresie.
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Facial emotion recognition using depth data
PublicationIn this paper an original approach is presented for facial expression and emotion recognition based only on depth channel from Microsoft Kinect sensor. The emotional user model contains nine emotions including the neutral one. The proposed recognition algorithm uses local movements detection within the face area in order to recognize actual facial expression. This approach has been validated on Facial Expressions and Emotions Database...
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Cooperative Data Transmission in Wireless Vehicular Networks
PublicationThe paper presents issues related to the cooperative transmission in wireless vehicular networks. Cooperative transmission involves the use of mobile terminals as relay stations to improve the transmission quality, improve network performance and reduce energy consumption. The paper presents the methods used to implement cooperative transmission and the types of cooperative networks.
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Data processing methods for dynamic medical thermography.
PublicationArtykuł przedstawia zastosowanie nowej metody syntezy obrazów w termografii dla potrzeb opisu ilościowego właściwości termicznych tkanek. Opis taki umożliwia różnicowanie przypadków medycznych. Metodę zastosowania dla licznych pomiarów fantomowych i in vitro w eksperymentach na zwierzętach (świnia domowa). Przedstawiono i omówiono rezultaty prac.
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An EIT reconstruction algorithm based on noisy data.
PublicationPraca przedstawia algorytm rekonstrukcji oparty o zmodyfikowany algorytm Gaussa - Newtona. Algorytm uwzględnia istnienie elektrod pomiarowych w tomografii elektroimpedancyjnej. Elektrody charakteryzują się rozmiarem i impedancją. Dodatkowo algorytm zakłada istnienie szumu w sygnale mierzonym. Zostało pokazane, że dobór optymalnego wzorca pobudzenia znacząco poprawia odporność algorytmu rekonstrukcyjnego na szum w danych. Dwie...
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Real terrain visualisation on the basis of GIS Data.
PublicationArtykuł prezentuje projekt realistycznej wizualizacji terenu rzeczywistego na podstawie danych pochodzšcych z Geograficznych Systemów Informacyjnych GIS (ang. Geographical Information Systems). Ze względu na złożoność i niedokładność przechowywanych danych geograficznych od systemu takiego należy oczekiwać pracy w dwóch etapach: off-line'owym i on-line'owym. Etap off-line'owy powinien dokonywać konwersji danych z formatu GIS na...
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Driving Performance Indicators of Electric Bus Driving Technique: Naturalistic Driving Data Multicriterial Analysis
PublicationThe issue of electric energy saving in public transport is becoming the key area of interest. By improving of driving techniques and the implementation of eco-driving, it is possible to save electric energy. Systems that help to decrease energy consumption and to reduce fuel emissions are becoming popular in vehicles powered by diesel engines. However, these methods have not yet gained popularity in electric vehicles. Therefore,...
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Efficiency Evaluation of High Performance Computing Systems Using Data Envelopment Analysis
PublicationThe paper presents an evaluation method of high performance computing (HPC) systems using multicriteria efficiency analysis. The Data Envelopment Analysis approach was applied and adapted to the specifics of HPC, which enabled us to compare relative efficiency of systems considering simultaneously multiple parameters. The analysis is based on the TOP500 list of world largest supercomputers and their parameters such as: the number...
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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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Operational algae bloom detection in the Baltic Sea using GIS and AVHRR data
PublicationDuring the blooming season, algal colonies can, in extreme cases, cover up to 200 000 square kilometres of the Baltic Sea water surface. Because the position and shape of the blooms may significantly change in very short time due to the influence of wind and waves, regular monitoring of the blooms' development is necessary. Currently, the desired monitoring frequency may only be achieved by means of remote sensing. The article...
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Atomic Force Microscope data post-processing algorithm for higher harmonics imaging
PublicationPrevious works have proved that higher harmonics topography imaging using atomic force microscope (AFM) can significantly enhanced its measurement capabilities. Integrated tools dedicated to most of microscopes allow to visualize the investigated surface only by one selected harmonic. Because of the different characteristics of a sample, scanning tip and the environment, appropriate harmonic selection is time consuming and requires...
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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 productivity...
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MAPSERVER – INFORMATION FLOW MANAGEMENT SOFTWARE FOR THE BORDER GUARD DISTRIBUTED DATA EXCHANGE SYSTEM
PublicationIn this paper the architecture of the software designed for management of position and identification data of floating and flying objects in Maritime areas controlled by Polish Border Guard is presented. The software was designed for managing information stored in a distributed system with two variants of the software, one for a mobile device installed on a vessel, an airplane or a car and second for a central server. The details...
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Międzynarodowy Tydzień Otwartego Dostępu – International Open Access Week. Różne modele Otwartego Dostępu
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Open shop problem with zero-one time operations and integer release date/deadline intervals
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A new conformal radiation boundary condition for high accuracy finite difference analysis of open waveguides
PublicationW publikacji zaprezentowano nowe warunki brzegowe przeznaczone dla precyzyjnej analizy otwartych prowadnic falowych metodą różnic skończonych. Praca zawiera również liczne przykłady zastosowania proponowanej techniki oraz porównanie otrzymanych rezultatów numerycznych z wynikami otrzymywanymi przy użyciu innych metod.
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Just look at to open it up: A biometric verification facility for password autofill to protect electronic documents
PublicationElectronic documents constitute specific units of information, and protecting them against unauthorized access is a challenging task. This is because a password protected document may be stolen from its host computer or intercepted while on transfer and exposed to unlimited offline attacks. The key issue is, therefore, making document passwords hard to crack. We propose to augment a common text password authentication interface...
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Analytical-numerical approach to solve the transport equation for steady gradually varied flow in open channel
PublicationW pracy przedstawiono metodę rozwiązania równania transportu adwekcyjno-dyfuzyjnego w przypadku ustalonego niejednostajnego przepływu w kanałach otwartych. Metoda wykorzystuje technikę dekompozycji. Do rozwiązania równania adwekcji-dyfuzji zastosowano analityczne rozwiązanie w postaci odpowiedzi impulsowej liniowego równania adwekcji-dyfuzji. Dokonano adaptacji metody dla przypadku ze zmiennymi parametrami. Do rozwiązania drugiej...
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Blockchain based Secure Data Exchange between Cloud Networks and Smart Hand-held Devices for use in Smart Cities
PublicationIn relation to smart city planning and management, processing huge amounts of generated data and execution of non-lightweight cryptographic algorithms on resource constraint devices at disposal, is the primary focus of researchers today. To enable secure exchange of data between cloud networks and mobile devices, in particular smart hand held devices, this paper presents Blockchain based approach that disperses a public/free key...
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A Data Driven Model for Predicting RNA-Protein Interactions based on Gradient Boosting Machine
PublicationRNA protein interactions (RPI) play a pivotal role in the regulation of various biological processes. Experimental validation of RPI has been time-consuming, paving the way for computational prediction methods. The major limiting factor of these methods has been the accuracy and confidence of the predictions, and our in-house experiments show that they fail to accurately predict RPI involving short RNA sequences such as TERRA RNA....
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The aggregation of objects representing Gdańsk district buildings - scale 1:10000. Data from OSM.
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
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The aggregation of objects representing buildings in the Kartuzy district - scale 1:10000. Data from OSM.
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
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Big Data from Sensor Network via Internet of Things to Edge Deep Learning for Smart City
PublicationData from a physical world is sampled by sensor networks, and then streams of Big Data are sent to cloud hosts to support decision making by deep learning software. In a smart city, some tasks may be assigned to smart devices of the Internet of Things for performing edge computing. Besides, a part of workload of calculations can be transferred to the cloud hosts. This paper proposes benchmarks for division tasks between an edge...
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Novel Adaptive Method for Data Streams Allocation Based on the Estimate of Radio Channel Parameters in Heterogeneous WBAN Network
PublicationThe new adaptive method for data streams allocation in heterogeneous Wireless Body Area Networks and meas-urement equipment is presented. The results obtained using the developed method compared with the selected algorithms likely to be used in those networks. The pro-posed adaptive data streams allocation method based on radio channel parameters makes it even twice as efficient to use in terms of resources usage in a WBAN heterogeneous...
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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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Weather Routing System Architecture Using Onboard Data Collection and Route Optimisation
PublicationThis paper describes the architecture of a weather routing system consisting of two key elements: onboard monitoring and route optimiser sub-systems. The former is responsible for collecting various onboard measurements, such as current ship position or ship motion variables. These data, when gathered and processed, are then used for fine-tuning a ship model. The model, together with weather forecasts, is utilised by a multi-objective...
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Geoscientific Instrumentation Methods and Data Systems
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ACM Journal of Data and Information Quality
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Journal of Data Mining and Knowledge Discovery
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Advances in Data Science and Adaptive Analysis
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DATA BASE FOR ADVANCES IN INFORMATION SYSTEMS
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International Journal of Image and Data Fusion
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International Journal of Data Warehousing and Mining
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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
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International Journal of Data Mining and Bioinformatics
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Japanese journal of statistics and data science
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