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The influence of settable parameters of switching gasoline/LPG on exhaust toxic emissions
PublikacjaThe main objective of the studies shown in the paper was to develop a proper strategy for settable parameters of ECU to decrease total emission of toxic components in composition of exhaust during a cold start phase. The experimental research has been performed for engine running at idle and for engine running on the chassis dynamometer (performing European Driving Test NEDC).
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Towards New Mappings between Emotion Representation Models
PublikacjaThere are several models for representing emotions in affect-aware applications, and available emotion recognition solutions provide results using diverse emotion models. As multimodal fusion is beneficial in terms of both accuracy and reliability of emotion recognition, one of the challenges is mapping between the models of affect representation. This paper addresses this issue by: proposing a procedure to elaborate new mappings,...
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Client-side versus server-side geographic data processing performance comparison: Data and code
PublikacjaThe data and code presented in this article are related to the research article entitled “Analysis of Server-side and Client-side Web-GIS data processing methods on the example of JTS and JSTS using open data from OSM and Geoportal” (Kulawiak et al., 2019). The provided 12 datasets include multi-point and multi-polygon data of different scales and volumes, representing real-world geographic features. The datasets cover the area...
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A proposition for integrating elements of game universe by means of behavioral trees
PublikacjaModern computer games often involve autonomous beings collaborating and competing with each other to reach their objectives in the game universe. It seems only natural to use agent-oriented approach in such cases. This article identifies the rules of building a game universe as an environment for executing agents. The paper also covers a method for decomposing compound behaviors into behavioral trees. Dividing complex behaviors...
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Application of Multivariate Adaptive Regression Splines (MARSplines) Methodology for Screening of Dicarboxylic Acids Cocrystal Using 1D and 2D Molecular Descriptors
PublikacjaDicarboxylic acids (DiAs) are probably one of the most popular cocrystals formers. Due to the high hydrophilicity and non-toxicity, they are promising solubilizes of active pharmaceutical ingredients (APIs). Although DiAs appear to be highly capable of forming multicomponent crystals with various compounds, some systems reported in the literature are physical mixtures the solid state without forming stable intermolecular complex....
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Szeregowanie identycznych zadań na czterech procesorach jednorodnych z dwudzielnymi grafami konfliktów
PublikacjaRozważono problem szeregowania n zadań jednostkowych na 4 procesorach jednorodnych o szybkościach s1>=s2>=s3>=s4. Celem szeregowania jest utworzenie najkrótszego możliwego harmonogramu. Zadania podlegają ograniczeniom zasobowym mówiącym, że niektóre pary zadań nie mogą być wykonane na tym samym procesorze. Podajemy algorytm dokładny, który rozwiązuje problem w czasie liniowym, o ile graf niezgodności jest kubiczny. Ponadto podajemy...
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Surf Zone Currents in the Coastal Zone of the Southern Baltic Sea – a Modelling Approach
PublikacjaNearshore currents in a multi-bar non-tidal coastal zone environment located in the Southern Baltic Sea are studied. Spatiotemporal seaward-directed jets – so-called rip currents – are an important part of the nearshore current system. In previous research, Dudkowska et al. (2020) performed an extended modelling experiment to determine the wave conditions that are conducive to the emergence of rip currents. In this paper, the...
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On Computing Curlicues Generated by Circle Homeomorphisms
PublikacjaThe dataset entitled Computing dynamical curlicues contains values of consecutive points on a curlicue generated, respectively, by rotation on the circle by different angles, the Arnold circle map (with various parameter values) and an exemplary sequence as well as corresponding diameters and Birkhoff averages of these curves. We additionally provide source codes of the Matlab programs which can be used to generate and plot the...
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Kwadratura koła czyli o próbach poszukiwania odniesień ładu do chaosu, czy też chaosu do ładu w przebiegu rozwoju myśli architektonicznej.
PublikacjaStwierdzić należy ze smutkiem że architektura jest ingerencją w naturę z natury rzeczy! Na ile da się zapanować nad nieładem w urządzaniu świata w przyszłości.
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Breast MRI segmentation by deep learning: key gaps and challenges
PublikacjaBreast MRI segmentation plays a vital role in early diagnosis and treatment planning of breast anomalies. Convolutional neural networks with deep learning have indicated promise in automating this process, but significant gaps and challenges remain to address. This PubMed-based review provides a comprehensive literature overview of the latest deep learning models used for breast segmentation. The article categorizes the literature...
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Detection of the Oocyte Orientation for the ICSI Method Automation
PublikacjaAutomation or even computer assistance of the popular infertility treatment method: ICSI (Intracytoplasmic Sperm Injection) would speed up the whole process and improve the control of the results. This paper introduces a preliminary research for automatic spermatozoon injection into the oocyte cytoplasm. Here, the method for detection a correct orientation of the polar body of the oocyte is presented. Proposed method uses deep...
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The construction of bifunctional fusion proteins consisting of MutS and GFP
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The construction of bifunctional fusion proteins consisting of MutS and GFP
PublikacjaSkonstruowano białka chimeryczne zawierające białko MutS z Thermus thermophilus i białko zielonej fluoresceiny GFP z Aequorea victoria, posiadające dla łatwiejszego oczyszczania domeny oligo-histydynowe na N- lub C-końcu. Fuzyjne białka rozpoznawały niekomplementarności w DNA podobnie do MutS T. thermophilus. Fluorescencyjne białka rozpoznające niekomplementarne DNA mogą być użyteczne w wykrywaniu jednonukleotydowych polimorfizmów...
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Deep neural networks for human pose estimation from a very low resolution depth image
PublikacjaThe work presented in the paper is dedicated to determining and evaluating the most efficient neural network architecture applied as a multiple regression network localizing human body joints in 3D space based on a single low resolution depth image. The main challenge was to deal with a noisy and coarse representation of the human body, as observed by a depth sensor from a large distance, and to achieve high localization precision....
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Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data
PublikacjaControlled ovarian stimulation is tailored to the patient based on clinical parameters but estimating the number of retrieved metaphase II (MII) oocytes is a challenge. Here, we have developed a model that takes advantage of the patient’s genetic and clinical characteristics simultaneously for predicting the stimulation outcome. Sequence variants in reproduction-related genes identified by next-generation sequencing were matched...
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Comprehensive Comparison of a Few Variants of Cluster Analysis as Data Mining Tool in Supporting Environmental Management
PublikacjaA few variants of hierarchical cluster analysis (CA) as tool of assessment of multidimensional similarity in environmental dataset are compared. The dataset consisted of analytical results of determination of metals (Na, K, Ca, Sc, Fe, Co, Zn, As, Br, Rb, Mo, Sb, Cs, Ba, La, Ce, Sm, Hf and Th) in ambient air dried and kept alive, by the means of hydroponics, moss baskets collected in 12 locations on the area of Tricity (Poland)....
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Data-driven, probabilistic model for attainable speed for ships approaching Gdańsk harbour
PublikacjaThe 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
PublikacjaThere 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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Categorization of Wikipedia articles with spectral clustering
PublikacjaAbstract. The article reports application of clustering algorithms for creating hierarchical groups withinWikipedia articles.We evaluate three spectral clustering algorithms based on datasets constructed with usage ofWikipedia categories. Selected algorithm has been implemented in the system that categorize Wikipedia search results in the fly.
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Wikipedia Articles Representation with Matrix'u
PublikacjaIn the article we evaluate different text representation methods used for a task of Wikipedia articles categorization. We present the Matrix’u application used for creating computational datasets ofWikipedia articles. The representations have been evaluated with SVM classifiers used for reconstruction human made categories.
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Knowledge organization - Nowy Sącz Business School National Louis University - Case Study
PublikacjaW opracowaniu przedstawiono ewolucję Wyższej Szkoły Biznesu National Louis University w kierunku organizacji wiedzy. Pokazo cechy wyrózniajace tej uczelni w zakresie procesu dydaktycznego, zarządzania, struktur organizacyjnych oraz działalności uczelni jako wszechnicy wiedzy. Omówiono projekt miasteczka mulimedialnego, który ma stanowić w niedalekiej przyszłości o sile relacji uczelni z regionem.
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High Resolution Sea Ice Floe Size and Shape Data from Knox Coast, East Antarctica
PublikacjaThis dataset contains floe size distribution data from a very high resolution (pixel size: 0.3 m) optical satellite image of sea ice, acquired on 16 Feb. 2019 off the Knox Coast (East Antarctica). The image shows relatively small ice floes produced by wave-induced breakup of landfast ice between Mill Island and Bowman Island. The ice floes are characterised by a narrow size distribution and angular, polygonal shapes, typical...
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Thermal imaging in automatic rodent’s social behaviour analysis
PublikacjaLaboratory rodent social behaviour analysis is an extremely important task for biological, medical and pharmacological researches. In this work thermal images features that facilitate analysis are presented. Methods to distinguish objects on the basis of thermal distribution are tested. Actions of grooming or biting one rodent by another - important social behaviour incidents - are clearly visible...
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Selecting Features with SVM
PublikacjaA common problem with feature selection is to establish how many features should be retained at least so that important information is not lost. We describe a method for choosing this number that makes use of Support Vector Machines. The method is based on controlling an angle by which the decision hyperplane is tilt due to feature selection. Experiments were performed on three text datasets generated from a Wikipedia dump. Amount...
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Przestrzeń miejska areną sportu
PublikacjaW życiu współczesnych "mieszczan" ważną rolę pełni czas wolny, który coraz częściej spędzany jest aktywnie. O tym, ile i jak się ruszamy, w pewnym stopniu decyduje przestrzeń, która nas otacza. Czy łatwo jest dotrzeć na pływalnię, do parku, na plac zabaw? Jakie możliwości ruchu daje mi moje osiedle? Ile barier muszę pokonać, by móc pobiegać cy pojeździć na rowerze? Czy w dzisiejszym, zekonomizowanym świecie sport uprawiać można...
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Nowoczesny menedżeryzm sądowy
PublikacjaCelem artykułu jest ocena rozwiązań przyjętych w wymiarze sprawiedliwości dotyczących zarządzania nim przez profesjonalne podmioty. Artykuł odpowiada na pytania, na ile formalne kompetencje menedżerów sądowych pokrywają się z kompetencjami merytorycznymi i praktycznymi. I wreszcie, na ile menedżerowie są świadomi wyzwań stojących przed współczesnym wymiarem sprawiedliwości w Polsce. Brak wiedzy i umiejętności z zakresu zarządzania...
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Measurement of luminance and color uniformity of displays using the large-format scanner
PublikacjaUniformity of display luminance and color is important for comfort and good perception of the information presented on the display. Although display technology has developed and improved a lot over the past years, different types of displays still present a challenge in selected applications, e.g. in medical use or in case of multi-screen installations. A simplified 9-point method of determining uniformity does not always produce...
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Deep CNN based decision support system for detection and assessing the stage of diabetic retinopathy
PublikacjaThe diabetic retinopathy is a disease caused by long-standing diabetes. Lack of effective treatment can lead to vision impairment and even irreversible blindness. The disease can be diagnosed by examining digital color fundus photographs of retina. In this paper we propose deep learning approach to automated diabetic retinopathy screening. Deep convolutional neural networks (CNN) - the most popular kind of deep learning algorithms...
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Convolutional Neural Networks for C. Elegans Muscle Age Classification Using Only Self-Learned Features
PublikacjaNematodes Caenorhabditis elegans (C. elegans) have been used as model organisms in a wide variety of biological studies, especially those intended to obtain a better understanding of aging and age-associated diseases. This paper focuses on automating the analysis of C. elegans imagery to classify the muscle age of nematodes based on the known and well established IICBU dataset. Unlike many modern classification methods, the proposed...
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Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing
PublikacjaCirculating tumor cells (CTCs) are tumor cells that separate from the solid tumor and enter the bloodstream, which can cause metastasis. Detection and enumeration of CTCs show promising potential as a predictor for prognosis in cancer patients. Furthermore, single-cells sequencing is a technique that provides genetic information from individual cells and allows to classify them precisely and reliably. Sequencing data typically...
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Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction
PublikacjaIn recent times, customer churn has become one of the most significant issues in business-oriented sectors with telecommunication being no exception. Maintaining current customers is particularly valuable due to the high degree of rivalry among telecommunication companies and the costs of acquiring new ones. The early prediction of churned customers may help telecommunication companies to identify the causes of churn and design...
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Experimental investigation of the flow pattern and wall pressure distribution in a silo with double-cone insert
PublikacjaArtykuł opisuje przeprowadzone badania przepływów silosowych i naporu materiałów sypkich podczas napełniania i opróżniania silosu o średnicy 2.5 m wyposażonego we wkładkę "podwójny stożek". Badania przeprowadzane były w Instytucie Badawczym Tel-Tek w Norwegii. Materiałem użytym był suchy piasek. Napór na ścianę mierzony był bezpośrednio za pomocą 10 czujników wbudowanych w ścianę. Badania eksperymentalne pokazały duży wpływ wkładki...
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The influence of a cone-in-cone insert on flow pattern and wall pressure in a full-scale silo
PublikacjaArtykuł opisuje przeprowadzone badania przepływów silosowych i naporu materiałów sypkich podczas napełniania i opróżniania silosu o średnicy 2.5 m wyposażonego we wkładkę "stożek w stożku''. Badania przeprowadzane były w Instytucie Badawczym Tel-Tek w Norwegii. Materiałem użytym był suchy piasek. Napór na ścianę mierzony był bezpośrednio za pomocą 10 czujników wbudowanych w ścianę. Badania eksperymentalne pokazały duży wpływ wkładki...
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Machine Learning and Deep Learning Methods for Fast and Accurate Assessment of Transthoracic Echocardiogram Image Quality
PublikacjaHigh-quality echocardiogram images are the cornerstone of accurate and reliable measurements of the heart. Therefore, this study aimed to develop, validate and compare machine learning and deep learning algorithms for accurate and automated assessment of transthoracic echocardiogram image quality. In total, 4090 single-frame two-dimensional transthoracic echocardiogram...
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Karta Wenecka - zapisy i możliwości ich zastosowania w praktyce
PublikacjaPrzedmiotem artykułu są zapisy Karty Weneckiej,bezpośrednio odnoszące się do zabytków architektury i urbanistyki. Celem autora jest sprawdzenie, na ile są one zrozumiałe, uzasadnione oraz przydatne dla praktycznej działalności współczesnego architekta-konserwatora.
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Cyanobacterial and Algal Strains in the Culture Collection of Baltic Algae (CCBA)
PublikacjaThe dataset titled Microalgal strains from “Culture Collection of Baltic Algae (CCBA)” is a representation of cyanobacterial and microalgal cultures isolated from the Baltic Sea. It is a unique catalogue of strains of the dominant and rare species found in the Baltic phytoplankton and microphytobenthos assemblages. The main purpose of the collection is to extend the knowledge on the Baltic microbial communities by providing...
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Simplified AutoDock force field for hydrated binding sites
Publikacjahas been extracted from the Protein Data Bank and used to test and recalibrate AutoDock force field. Since for some binding sites water molecules are crucial for bridging the receptor-ligand interactions, they have to be included in the analysis. To simplify the process of incorporating water molecules into the binding sites and make it less ambiguous, new simple water model was created. After recalibration of the force field on...
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KEMR-Net: A Knowledge-Enhanced Mask Refinement Network for Chromosome Instance Segmentation
PublikacjaThis article proposes a mask refinement method for chromosome instance segmentation. The proposed method exploits the knowledge representation capability of Neural Knowledge DNA (NK-DNA) to capture the semantics of the chromosome’s shape, texture, and key points, and then it uses the captured knowledge to improve the accuracy and smoothness of the masks. We validate the method’s effectiveness on our latest high-resolution chromosome...
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Comparison of image pre-processing methods in liver segmentation task
PublikacjaAutomatic liver segmentation of Computed Tomography (CT) images is becoming increasingly important. Although there are many publications in this field there is little explanation why certain pre-processing methods were utilised. This paper presents a comparison of the commonly used approach of Hounsfield Units (HU) windowing, histogram equalisation, and a combination of these methods to try to ascertain what are the differences...
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W jaki sposób szkoła wyższa powinna tworzyć miejsca na poszczególnych kierunkach studiów - determinanty
PublikacjaObecnie wiele szkół wyższych szuka sposobów, które mają pomóc zainteresować ich ofertą i przyciągnąć studentów, ale stają przed dylematem w jaki sposób kształtować tę ofertę. Jednym z ważniejszych dylematów, z jakim borykają się uczelnie jest kwestia tworzenia nowych i kształtowania liczby miejsc na już istniejących kierunkach studiów. W publikacji podjęto dyskusję na ile szkoła publiczna powinna kierować się w tym względzie popytem...
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Solid phase synthesis and biological activity of linear tuftsin and retro-tuftsin derivatives
PublikacjaPrzedstawiono syntezę na fazie stałej nowych pochodnych tuftsyny i retro-tuftsyny i ich mikrobiologiczne właściwości. Otrzymane pochodne zawierały wiązanie izopeptydowe między epsilon-aminową grupą lizyny a takimi aminokwasami jak: Ala, beta-Ala, Val, Ile, Gly.
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Etyka a integracja środowiska prawniczego - granice kompromisu w ramach budowania sieci korporacyjnej
PublikacjaW artykule podjęto rozważania na temat możliwości współpracy i wzajemnych interakcji różnych korporacji prawniczych. Starano się odpowiedzieć na pytanie na ile etyka (kodeksy deontologiczne) tych korporacji umożliwiają taką współpracę i jakie są jej granice.
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A machine learning approach to classifying New York Heart Association (NYHA) heart failure
PublikacjaAccording to the European Society of Cardiology, globally the number of patients with heart failure nearly doubled from 33.5 million in 1990 to 64.3 million in 2017, and is further projected to increase dramatically in this decade, still remaining a leading cause of morbidity and mortality. One of the most frequently applied heart failure classification systems that physicians use is the New York Heart Association (NYHA) Functional...
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Determination of Changes in Viscosity of Hydrogel Depending on Shear Rates
PublikacjaThe datasets entitled Determination of changes in viscosity of hydrogel depending on shear rate contain the results of viscosity measurements using a Brookfield viscometer, with different kinds of spindles and shear rates. The data allowed the used hydrogel preparations to be characterised and their functional parameters, as substances modifying the rheology of thickeners and determining the effect of shear rate on the viscosity...
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Legislation and Practice of Selected State Aid Issues, According to EU and Polish Law
PublikacjaThe dataset encompasses several tables, each consisting of three elements: legislation, jurisprudence and scientific articles on numerous subjects and economic activities receiving public financial support in the form of state aid instruments. The set includes a subjective list of the most commonly used and/or disputable examples of granting aid, such as for (local) airports and airlines, steel production, shipyards, and coalmines....
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Long-term Hindcast Simulation of Currents, Sea Level, Water Temperature and Salinity in the Baltic Sea
PublikacjaThis dataset contains the results of numerical modelling of currents, sea level, water temperature and salinity over a period of 50 years (1958–2007) in the Baltic Sea. A long-term hindcast simulation was performed using a three-dimensional hydrodynamic model (PM3D) based on the Princeton Ocean Model (POM). The spatial resolution was 3 nautical miles, i.e. about 5.5 km. Currents, water temperature, and salinity were recorded...
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Global Value Chains and Wages: Multi-Country Evidence from Linked Worker-Industry Data
PublikacjaThis paper uses a multi-country microeconomic setting to contribute to the literature on the nexus between production fragmentation and wages. Exploiting a rich dataset on over 110,000 workers from nine Eastern and Western European countries and the United States, we study the relationship between individual workers’ wages and industry ties into global value chains (GVCs). We find an inverse (but weak) relationship between the...
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Simultaneous grouping and ranking with combination of SOM and TOPSIS for selection of preferable analytical procedure for furan determination in food
PublikacjaNovel methodology for grouping and ranking with application of self-organizing maps and multicriteria decision analysis is presented. The dataset consists of 22 objects that are analytical procedures applied to furan determination in food samples. They are described by 10 variables, referred to their analytical performance, environmental and economic aspects. Multivariate statistics analysis allows to limit the amount of input...
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Towards semantic-rich word embeddings
PublikacjaIn recent years, word embeddings have been shown to improve the performance in NLP tasks such as syntactic parsing or sentiment analysis. While useful, they are problematic in representing ambiguous words with multiple meanings, since they keep a single representation for each word in the vocabulary. Constructing separate embeddings for meanings of ambiguous words could be useful for solving the Word Sense Disambiguation (WSD)...
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Operational Enhancement of Numerical Weather Prediction with Data from Real-time Satellite Images
PublikacjaNumerical weather prediction (NWP) is a rapidly expanding field of science, which is related to meteorology, remote sensing and computer science. Authors present methods of enhancing WRF EMS (Weather Research and Forecast Environmental Modeling System) weather prediction system using data from satellites equipped with AMSU sensor (Advanced Microwave Sounding Unit). The data is acquired with Department of Geoinformatics’ ground...