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Search results for: data envelopment analysis

  • Analysis

    Publication

    - Year 2020

    New food products and diverse formulations containing the regulated steviol glycoside(s) as well as Stevia extracts or Stevia leaves have been brought on the global market. The upcoming multitude of such food products, but also their falsification and adulteration, does have impact on food analysis. Robust high-throughput methods that cope with different food matrices are required for food control to ensure food safety. The analysis...

  • Integration of thermographic data with the 3D object model

    Publication

    - Year 2014

    The aim of the paper is to present new method for merging the 3D model data of the measured object with thermograms. Our technique is based on the combination of visual 3D imaging technique and thermal imaging technique, which maps the 2D thermograms on to 3D anatomical mesh model. The combination of these imaging modalities allows the generation of combined 3D and thermal data from which thermal signatures can be verified and...

  • Data Reduction Algorithm for Machine Learning and Data Mining

    Publication

    - Year 2008

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  • Review of the Complexity of Managing Big Data of the Internet of Things

    Publication

    - COMPLEXITY - Year 2019

    Tere is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing feld of the Internet of Tings (IoT). Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description...

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  • Frequent Sequence Mining in Web Log Data

    Publication

    - Year 2018

    The amount of information available even on a single web server can be huge. On the other hand, the amount of visitors (users) can often reach a number of at least six digits. Users vary in gender, age and education, and in consequence their information needs are different. Moreover, they subconsciously expect to get more adequate content after visiting the first few pages. The scope of this kind of problem relates to the domain...

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  • Niskokoherencyjne czujniki światłowodowe wykorzystujące cienkowarstwowe struktury nanodiamentowe

    Publication

    - Year 2018

    Znaczny rozwój technologii wytwarzania czujników światłowodowych spowodował, że są one powszechnie dostępne i stosowane w wielu gałęziach przemysłu, nauki oraz medycyny. Zastosowanie nowych materiałów w konstrukcji takich czujników niesie za sobą duży potencjał. Celem rozprawy jest przedstawienie możliwości wykorzystania cienkowarstwowych struktur nanodiamentowych w niskokoherencyjnych czujnikach światłowodowych, które poprawią...

  • OCENA MOŻLIWOŚCI WYKORZYSTANIA CHARAKTERYSTYK ENERGETYCZNYCH PROCESU DO PRZEWIDYWANIA WSKAŹNIKÓW ENERGETYCZNYCH NA BIEŻĄCO

    W artykule autorka zaprezentowała możliwości wykorzystania charakterystyk energetycznych procesu do bieżącej kontroli wskaźników energetycznych. Metoda bieżącej kontroli wskaźników wykorzystuje jako wartości porównawcze wskaźniki wyznaczane na podstawie charakterystyk energetycznych procesów. Metoda ma przede wszystkim mieć zastosowanie do wczesnego wykrywania i eliminowania nadmiernego, nieracjonalnego zużycia nośników energii...

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  • The Application of the IODA Document Architecture to Music Data

    Publication

    - Year 2014

    This paper is concerned with storing music data with the use of document architecture called Interactive Open Document Architecture (IODA). This architecture makes it possible to create documents which are executable, mobile, interactive and intelligent. Such documents consist of many files that are semantically related to each other. Semantic links are defined in XML files which are a part of a document. IODA documents with music...

  • MARITIME LASER SCANNING AS THE SOURCE FOR SPATIAL DATA

    Publication

    - Polish Maritime Research - Year 2015

    The rapid development of scanning technology, especially mobile scanning, gives the possibility to collect spatial data coming from maritime measurement platforms and autonomous manned or unmanned vehicles. Presented solution is derived from the mobile scanning. However we should keep in mind that the specificity of laser scanning at sea and processing collected data should be in the form acceptable in Geographical Information...

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  • Testing the Effect of Bathymetric Data Reduction on the Shape of the Digital Bottom Model

    Publication

    - SENSORS - Year 2023

    Depth data and the digital bottom model created from it are very important in the inland and coastal water zones studies and research. The paper undertakes the subject of bathymetric data processing using reduction methods and examines the impact of data reduction according to the resulting representations of the bottom surface in the form of numerical bottom models. Data reduction is an approach that is meant to reduce the size...

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  • Nadmiarowe zgony podczas pandemii COVID-19 w Polsce i ocena skuteczności szczepień

    Z powodu pandemii COVID-19 zmarły miliony ludzi na całym świecie. Jak wynika z wielu badań, szczepienia przeciw chorobie wywołanej wirusem SARS-CoV-2 okazały się środ-kiem ograniczającym skalę zachorowań i liczbę zgonów. Celem badania omawianego w artyku-le jest pomiar skali pandemii w Polsce za pomocą liczby nadmiarowych zgonów w podregio-nach według klasyfikacji NUTS 3 i w grupach wieku, a następnie określenie zależności pomiędzy...

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  • Poprawa jakości klasyfikacji głębokich sieci neuronowych poprzez optymalizację ich struktury i dwuetapowy proces uczenia

    Publication

    - Year 2024

    W pracy doktorskiej podjęto problem realizacji algorytmów głębokiego uczenia w warunkach deficytu danych uczących. Głównym celem było opracowanie podejścia optymalizującego strukturę sieci neuronowej oraz zastosowanie uczeniu dwuetapowym, w celu uzyskania mniejszych struktur, zachowując przy tym dokładności. Proponowane rozwiązania poddano testom na zadaniu klasyfikacji znamion skórnych na znamiona złośliwe i łagodne. W pierwszym...

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  • Analiza temperatury ekwiwalentnej do projektowania nawierzchni asfaltowych w Polsce z wykorzystaniem metody AASHTO 2004

    W artykule przedstawiono analizę temperatury ekwiwalentnej obliczanej w oparciu o kryterium spękań zmęczeniowych warstw asfaltowych z metody AASHTO 2004 oraz kryterium deformacji strukturalnych Instytutu Asfaltowego. Do obliczeń przyjęto konstrukcję nawierzchni KR5 oraz wykorzystano dane temperaturowe z 50 stacji meteorologicznych z okresu 30 lat od roku 1989 do roku 2019 włącznie udostępnione przez Instytut Meteorologii i Gospodarki...

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  • Active management of equipment cooling in hoteling data centers

    Hoteling data centers are designated for housing computing and storage units of many, usually small customers, as opposed to traditional data centers supporting own computing and storage resources of a bigger company. One of the services to be provided to consumer’s equipment is cooling. Cooling in data centers is prevalently achieved by circulating air in computer room. Efficient cooling requires delivering cold air from central...

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  • Multibeam data processing for 3D object shape reconstruction

    Publication

    The technology of hydroacoustic scanning offers an efficient and widely-used source of geospatial information regarding underwater environments, providing measurement data which usually have the structure of irregular groups of points known as point clouds. Since this data model has known disadvantages, a different form of representation based on representing surfaces with simple geometric structures, such as edges and facets,...

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  • Fundamentals of Data-Driven Surrogate Modeling

    Publication

    The primary topic of the book is surrogate modeling and surrogate-based design of high-frequency structures. The purpose of the first two chapters is to provide the reader with an overview of the two most important classes of modeling methods, data-driven (or approx-imation), as well as physics-based ones. These are covered in Chap-ters 1 and 2, respectively. The remaining parts of the book give an exposition of the specific aspects...

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  • Use of LIDAR Data in the 3D/4D Analyses of the Krakow Fortress Objects

    Publication
    • E. Głowienka
    • K. Michałowska
    • P. Opaliński
    • B. Hejmanowska
    • S. Mikrut
    • P. Kramarczyk

    - Year 2017

    The article presents partial results of studies within the framework of the international project "Cultural Heritage Through Time" (CHT2). The subject of the study were forts of the Krakow Fortress, which had been built by the Austrians between 1849-1914 in order to provide defence against the Russians. Research works were aimed at identifying architectural changes occurring in different time periods in relation to selected...

  • Split-Beam Echosounder Data from Puck Bay

    Publication

    - Year 2022

    The acoustic data was collected in 2018–2019 in the Bay of Puck in the seasons: autumn, winter, spring. The data was collected during the day and night using three split-beam echosounders with frequencies of 38 kHz, 120 kHz and 333 kHz at a designated study area not far from the city of Hel, while the ship was sailing. To ensure data quality, the echosounders were calibrated and passive noise was measured.

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  • Reversible data hiding in encrypted DICOM images using sorted binary sequences of pixels

    Publication

    In this paper, a novel reversible data hiding method for encrypted DICOM images is proposed. The method utilizes binary decomposition of the input data paired with a sorting process of the obtained binary sequences to ensure efficient data embedding in each predefined data block for specific most significant bit (MSB) planes while exploiting the properties of run-length encoding. The proposed scheme is lossless, and based on the...

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  • A Workflow Application for Parallel Processing of Big Data from an Internet Portal

    Publication

    - Year 2014

    The paper presents a workflow application for efficient parallel processing of data downloaded from an Internet portal. The workflow partitions input files into subdirectories which are further split for parallel processing by services installed on distinct computer nodes. This way, analysis of the first ready subdirectories can start fast and is handled by services implemented as parallel multithreaded applications using multiple...

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  • Using EO satellite data in Safe City and Coastal Zone web-GIS

    The paper presents a novel design of a web-based Safe City & Coastal Zone GIS (SCCZ-GIS) which integrates data acquired from different remote sensing and geospatial data sources for monitoring the security of the coastal zone, its inhabitants and Critical Infrastructure. The system utilizes several innovative technologies and directly co-operates with different remote sensing data sources and services, like a satellite ground station...

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  • Data Acquisition in a Manoeuver Auto-negotiation System

    Typical approach to collision avoidance systems with artificial intelligence support is that such systems assume a central communication and management point (such as e.g. VTS station), usually located on shore. This approach is, however, not applicable in case of an open water encounter. Thus, recently a new approach towards collision avoidance has been proposed, assuming that all ships in the encounter, either restricted or open...

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  • The Importance of Demand and Environment for Defining and Establishing the Role of Data Stewards

    Publication

    - Year 2022

    Data stewardship is now a central part of FAIR research data management. Although various types of positions called data stewards have been created at academic institutions over the last years, no demand-oriented, formal model of data stewardship and the associated roles exist so far. This workshop report presents the outcomes of the panel discussion “The Importance of Demand and Environment for Defining Data Stewardship” held...

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  • Simulation of parallel similarity measure computations for large data sets

    The paper presents our approach to implementation of similarity measure for big data analysis in a parallel environment. We describe the algorithm for parallelisation of the computations. We provide results from a real MPI application for computations of similarity measures as well as results achieved with our simulation software. The simulation environment allows us to model parallel systems of various sizes with various components...

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  • Data Extraction, Transformation and Loading process in data warehouse development.

    Publication

    - Year 2004

    Omówiono podstawowe elementy procesu projektowania hurtowni danych.

  • A comprehensive review of open data platforms, prevalent technologies, and functionalities

    Publication

    - Year 2022

    Open data can play a crucial role in different sectors of the world,such as government, science, research, technology, culture, andfinance. There are several necessary measures that every organiza-tion needs to consider before opening data. There are three majorsteps to opening the data: (1) Preparation stage, and (2) launchingthe open data initiative (3) In this case, the feedback mechanismstudy such as expand and sustain stage,...

  • Changes in the addiction prevalence in Polish population between 1990-2019: Review of available data

    Publication

    - Year 2020

    The 1989 collapse of the socialist political system in Poland initiated an avalanche of modifications regarding healthcare policy resulting with new institutions and programs dedicated to monitoring and preventing addiction. In the current article, we look at the available data allowing to track changes in (1) the prevalence of exposure to addictive substances and behaviors, and (2) changes of addictions prevalence in Poland...

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  • Akustyczna analiza parametrów ruchu drogowego z wykorzystaniem informacji o hałasie oraz uczenia maszynowego

    Publication

    - Year 2018

    Celem rozprawy było opracowanie akustycznej metody analizy parametrów ruchu drogowego. Zasada działania akustycznej analizy ruchu drogowego zapewnia pasywną metodę monitorowania natężenia ruchu. W pracy przedstawiono wybrane metody uczenia maszynowego w kontekście analizy dźwięku (ang.Machine Hearing). Przedstawiono metodologię klasyfikacji zdarzeń w ruchu drogowym z wykorzystaniem uczenia maszynowego. Przybliżono podstawowe...

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  • Na granicy wody i lądu – pojęcie niebieskiej przestrzeni urbanistycznej

    Obecnie obserwuje się wzrost zainteresowania projektowaniem urbanistycznym i architektonicznym z wykorzystaniem wody lub wręcz projektowania nowych terenów miejskich na obszarach wodnych. Sposób postrzegania strefy graniczenia wody i lądu w mieście ulega transformacji, a związek między tymi dwoma tkankami – znacznemu zacieśnieniu, w skutek czego w ostatnim dziesięcioleciu zaczęło kształtować się pojęcie niebieskich przestrzeni miejskich....

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  • Integration and verification of meteorological observations and NWP model data for the local GNSS tomography

    Publication
    • J. Bosy
    • W. Rohm
    • A. Borkowski
    • K. Kroszczynski
    • M. Figurski

    - ATMOSPHERIC RESEARCH - Year 2010

    GNSS meteorology applies the Global Navigation Satellite Systems (GNSS) to derive information about the state of the atmosphere (particularly troposphere). The tomography is one of the methods used in GNSS meteorology. The input data of GNSS tomography are the signal troposphere delays, results of GNSS data processing and additionally meteorological observations and Numerical Weather Prediction (NWP) models data. Different types...

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  • Wyznaczanie współczynnika przejmowania ciepła podczas wrzenia w przepływie dwutlenku węgla (Prediction of flow boling heat transfer coefficient for carbon dioxide in minichannels)

    W pracy przedstawiono wyniki obliczeń uzyskane za pomocą własnego modelu półemirycznego dla wybranych danych eksperymentalnych dla wrzenia w przepływie dwutlenku węgla. Metoda obliczeniowa została zweryfikowana z danymi eksperymentalnymi Docoulombiera i innych (2011) oraz Mastrullo i innych (2009). Badania eksperymentalne dotyczą pełnego zakresu zmienności stopnia suchości oraz zakresu prędkości masowej G=200-1200 kg/m2s. rozwijany...

  • Application of OFDM technique to underwater acoustic data transmission

    Publication

    Performances of underwater acoustic communication (UAC) digital systems are strongly related to specific transmission properties of the underwater channel. Depending on the characteristics of the channel, an architecture and modulation techniques are usually implemented that are known as reliable solutions for data transmission in difficult radio channels. The OFDM technique seems to be the most promising nowadays. The parameters...

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  • Dis/Trust and data-driven technologies

    Publication

    - Internet Policy Review - Year 2023

    This concept paper contextualises, defines, and systematises the concepts of trust and distrust (and their interrelations), providing a critical review of existing literature so as to identify gaps, disjuncture, and continuities in the use of these concepts across the social sciences and in the context of the consolidation of the digital society. Firstly, the development of the concept of trust is explored by looking at its use...

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  • Urban Freight Transport Demand Modelling and Data Availability Constraints

    Publication

    - Year 2018

    The paper provides a review of urban freight transport demand modelling approaches confronted with constrains regarding adequate data provision from a perspective of the local authorities. Demand estimation models has been selected as a reference because they are the most representative in terms of inclusion of urban freight indicators which can be transformed into a decision-support tool for evaluation of freight measures. The...

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  • Toward Robust Pedestrian Detection With Data Augmentation

    Publication

    In this article, the problem of creating a safe pedestrian detection model that can operate in the real world is tackled. While recent advances have led to significantly improved detection accuracy on various benchmarks, existing deep learning models are vulnerable to invisible to the human eye changes in the input image which raises concerns about its safety. A popular and simple technique for improving robustness is using data...

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  • Low-Cost Data-Driven Surrogate Modeling of Antenna Structures by Constrained Sampling

    Full-wave electromagnetic (EM) analysis has become one of the major design tools for contemporary antenna structures. Although reliable, it is computationally expensive which makes automated simulation-driven antenna design (e.g., parametric optimization) difficult. This difficulty can be alleviated by utilization of fast and accurate replacement models (surrogates). Unfortunately, conventional data-driven modeling of antennas...

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  • Ograniczenia i koszty wdrożenia systemu open data

    Publication

    - Year 2021

    Przedstawienie kosztów i ograniczeń wdrażania open data w polskich urzędach miejskich.

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  • thestats: An Open-Data R Package for Exploring Turkish Higher Education Statistics

    Publication

    - Yuksekogretim Dergisi - Year 2023

    There 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...

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  • Computational complexity and length of recorded data for fluctuation enhanced sensing method in resistive gas sensors

    Publication

    - Year 2015

    This paper considers complexity and accuracy of data processing for gas detection using resistance fluctuation data observed in resistance gas sensors. A few selected methods were considered (Principal Component Analysis – PCA, Support Vector Machine – SVM). Functions like power spectral density or histogram were used to create input data vector for these algorithms from the observed resistance fluctuations. The presented considerations...

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  • Processing of Hydroacoustic and LiDAR Data for Three-dimensional Surface Reconstruction

    The technologies of sonar and laser scanning are commonly used for obtaining spatial information about underwater and over ground environments in the form of point clouds. Since this data model has known disadvantages, a more practical solution of visualising such data involves the creation of solid three-dimensional meshes composed of edges and facets. In this paper, several methods for 3D shape reconstruction of data obtained...

  • Algorithms for Ship Movement Prediction for Location Data Compression

    Due to safety reasons, the movement of ships on the sea, especially near the coast should be tracked, recorded and stored. However, the amount of vessels which trajectories should be tracked by authorized institutions, often in real time, is usually huge. What is more, many sources of vessels position data (radars, AIS) produces thousands of records describing route of each tracked object, but lots of that records are correlated...

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  • Automatic Analysis of Trajectories of Moving Objects

    Publication

    Ongoing monitoring is essential to providing security and safety of maritime and air operations. This paper presents the research in the area of automatic analysis of movement of unrestricted vehicles like ships and air-planes. The analysis is aimed at extraction of trajectory information, and the results can be used to identify anomalous behaviour in archived and real-time data. In this paper we focus on data acquired using the...

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  • Three-dimensional representation of geographic data in a Web-based GIS

    Publication

    - HYDROACOUSTICS - Year 2013

    Presenting geographic data in a web environment has been a long standing problem. For many years the low performance of web browsers has limited the visualization of spatial data to only two dimensions. More recently, the introduction of open standards for 3D acceleration of web applications sparked the emergence of new methods of presenting three-dimensional data in a web browser without using third-party extensions. However,...

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  • Web-based 3D processing and dissemination of multibeam sonar data

    Publication

    - HYDROACOUSTICS - Year 2016

    The continuous detailed surveys of the various water bodies over time produce a large and ever-increasing volume and density of underwater sounding data. Three-dimensional data, such as those obtained by multibeam sonar systems, are quite complex to manage, and thus their growing numbers increase the pressure on development of new solutions dedicated to processing them. This paper presents a concept system for web-based dissemination...

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  • Interactive Information Search in Text Data Collections

    Publication

    This article presents a new idea for retrieving in text repositories, as well as it describes general infrastructure of a system created to implement and test those ideas. The implemented system differs from today’s standard search engine by introducing process of interactive search with users and data clustering. We present the basic algorithms behind our system and measures we used for results evaluation. The achieved results...

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  • Open Data Capability Architecture - An Interpretive Structural Modeling Approach

    Publication

    - Year 2020

    Despite of increasing availability of open data as a vital organizational resource, large numbers of startups and organizations fail when it comes to utilizing open data effectively. This shortcoming is attributable to the poor understanding of what types of capabilities are required to successfully conduct data related activities. At the same time, research on open data capabilities and how they relate to one another remains sparse....

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  • Real-time generator of AIS/ARPA/GPS data

    The paper presents a real-time generator of AIS/ARPA/GPS position data in the standardized NMEA 0183 text format. Position data are produced by a set of various types of ships simulated on the Polish part of the Baltic Sea and are generated on defined IP/UDP addresses and RS-232 ports. In the simulation an extensive set of input parameters is taken into account including the number of particular types of ships, their dimensions,...

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  • Harmonization and Quality Assurance of Income and Wealth Data: The Case of LIS.

    Publication

    - Year 2023

    Comparability of concepts in survey data harmonization is essential for scientific analyses. LIS – also known as the Luxembourg Income Study or LIS Cross-National Data Center in Luxembourg – acquires and harmonizes income and wealth microdata to provide the scientific community with a comparable database that is unique in the world in its growing temporal and geographic breadth. Over many decades, scholars worldwide have used the...

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  • Methods of trend removal in electrochemical noise data – overview

    Publication

    In this paper we shall review popular methods of trend removal from electrochemical noise time records. The basic principles of operation of the six most popular methods are explained. The proposed methods are: high - pass filtering, Moving Average Removal, polynomial detrending, wavelet detrending, Empirical Mode Decomposition and Variational Mode Decomposition. Estimation of trend removal quality...

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  • BIG DATA SIGNIFICANCE IN REMOTE MEDICAL DIAGNOSTICS BASED ON DEEP LEARNING TECHNIQUES

    In this paper we discuss the evaluation of neural networks in accordance with medical image classification and analysis. We also summarize the existing databases with images which could be used for training deep models that can be later utilized in remote home-based health care systems. In particular, we propose methods for remote video-based estimation of patient vital signs and other health-related parameters. Additionally, potential...

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