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Wyniki wyszukiwania dla: MARKDOWN, BOOKDOWN, R-EXAMS, TUTORIALS, MOODLE, E- LEARNING, WEBEXERCISES, GITHUB, DATA ANALYSIS.
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Predictions of cervical cancer identification by photonic method combined with machine learning
PublikacjaCervical cancer is one of the most commonly appearing cancers, which early diagnosis is of greatest importance. Unfortunately, many diagnoses are based on subjective opinions of doctors—to date, there is no general measurement method with a calibrated standard. The problem can be solved with the measurement system being a fusion of an optoelectronic sensor and machine learning algorithm to provide reliable assistance for doctors...
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Interaction of the conserved region 4.2 of sigma(E) with the RseA anti-sigma factor
PublikacjaEo-E RNA polymerase transcribes a regulon of folding factors for the bacterial envelope and is induced by physical and chemical stresses. The RseA anti-sigma factor inhibits the activity of Esigma(E) RNA, polymerase. It is shown here that the N-terminal portion of sigma(E), residues 1-153, binds core RNA polymerase. RseA interacts with residues 154-191 of sigma(E), a site that is homologous to region 4, the sigma factor binding...
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e-Technologie w kształceniu inżynierów, czyli nowoczesna edukacja pokolenia mediów cyfrowych
PublikacjaTechnologie informacyjno-komunikacyjne zmieniają współczesną edukację i pozwalają na wprowadzanie innowacyjnych metod przekazywania wiedzy i zdobywania umiejętności. Popyt na wiedzę jest ogromny – kształtuje go coraz bardziej zaawansowane technologicznie i infor - macyjnie społeczeństwo oraz rynek pracy, na którym wiele osób, pracujących w zawodach do tej pory nie wymagających umiejętności cyfrowych, stanęło...
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Empirical analysis of tree-based classification models for customer churn prediction
PublikacjaCustomer churn is a vital and reoccurring problem facing most business industries, particularly the telecommunications industry. Considering the fierce competition among telecommunications firms and the high expenses of attracting and gaining new subscribers, keeping existing loyal subscribers becomes crucial. Early prediction of disgruntled subscribers can assist telecommunications firms in identifying the reasons for churn and...
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Concentration levels of selected analytes in the gas phase of an e-cigarette aerosol
PublikacjaThe aerosols generated from e-cigarettes are composed of liquid and gas phases resulting from vapourized e-liquid. The apportioning of substances from e-liquid into the liquid and gas phases during e-cigarette use has not been extensively studied. Partitioning of e-liquid components between the gas and the liquid phase of the aerosol influences the substances inhaled and exhaled by the users, leading to second-hand exposure. It...
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E-Learning as a Factor Optimizing the Amount of Work Time Devoted to Preparing an Exam for Medical Program Students during the COVID-19 Epidemic Situation
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Ewolucja standardów wymiany informacji w zastosowaniach e-commerce
PublikacjaCelem e-commerce od początku była automatyzacja procesów związanych z transakcją między dwoma podmiotami. Wielką zaletą handlu elektronicznego jest eliminacja wszystkich działań wykonywanych ręcznie, pozwalając wymieniać informacje wewnętrznym aplikacjom firm. By jednak tego typu rozwiązanie były możliwe, konieczne było ustanowienie standardów przekazu e-dokumentów. W artykule zawarto charakterystykę tych, na bazie których ukształtował...
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Energy consumption optimization in wastewater treatment plants: Machine learning for monitoring incineration of sewage sludge
PublikacjaBiomass management in terms of energy consumption optimization has become a recent challenge for developed countries. Nevertheless, the multiplicity of materials and operating parameters controlling energy consumption in wastewater treatment plants necessitates the need for sophisticated well-organized disciplines in order to minimize energy consumption and dissipation. Sewage sludge (SS) disposal management is the key stage of...
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Optimising approach to designing kernel PCA model for diagnosis purposes with and without a priori known data reflecting faulty states
PublikacjaFault detection plays an important role in advanced control of complex dynamic systems since precise information about system condition enables efficient control. Data driven methods of fault detection give the chance to monitor the plant state purely based on gathered measurements. However, they especially nonlinear, still suffer from a lack of efficient and effective learning methods. In this paper we propose the two stages learning...
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Włodzimierz Przybylski prof. dr inż.
Osoby -
ARIMA vs LSTM on NASDAQ stock exchange data
PublikacjaThis study compares the results of two completely different models: statistical one (ARIMA) and deep learning one (LSTM) based on a chosen set of NASDAQ data. Both models are used to predict daily or monthly average prices of chosen companies listed on the NASDAQ stock exchange. Research shows which model performs better in terms of the chosen input data, parameters and number of features. The chosen models were compared using...
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Homoclinics for singular strong force Lagrangian systems in R^N
PublikacjaWe will be concerned with the existence of homoclinics for second order Hamiltonian systems in R^N (N>2) given by Hamiltonians of the form H(t,q,p)=Φ(p)+V(t,q), where Φ is a G-function in the sense of Trudinger, V is C^2-smooth, periodic in the time variable, has a single well of infinite depth at a point ξ and a unique strict global maximum 0 at the origin. Under a strong force type condition aroud the singular point ξ, we prove...
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Sensory analysis of confectionery products.
Dane BadawczeThe data set presents the results of the sensory analysis of confectionery products, which was carried out by the sensory profiling analysis method based on the PN-ISO 11035: 1999 standard – “Sensory analysis - Identification and selection of descriptors for determining the sensory profile using multivariate methods”. The method was used to evaluate...
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Knowledge Management & E-Learning-An International Journal
Czasopisma -
Current Trends in Translation Teaching and Learning E
Czasopisma -
International journal of e-learning & distance education
Czasopisma -
NAKŁADY INWESTYCYJNE W SEKTORZE PRZEDSIĘBIORSTW PRYWATNYCH W POLSCE W LATACH 2008-2011. WYBRANE MOŻLIWOŚCI ANALITYCZNE I WIZUALIZACYJNE PROGRAMU R.
PublikacjaW opracowaniu zawarto wraz z przykładami niektóre możliwości programu R Cran w zakresie wizualizacji danych przestrzennych. Analizie poddano nakłady inwestycyjne w poszczególnych województwach w Polsce. Wykazano, że województwa charakteryzujące się wyższym poziomem nakładów inwestycyjnych niż średnia krajowa to województwa: dolnośląskie, łódzkie, mazowieckie, pomorskie i śląskie. Natomiast województwa, w których co roku, obserwuje...
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The Cultures of Knowledge Organizations: Knowledge, Learning, Collaboration (KLC)
PublikacjaThis book focuses on seeing, understanding, and learning to shape an organization’s essential cultures. The book is grounded on a fundamental assumption that every organization has a de facto culture. These “de facto cultures” appear at first glance to be serendipitous, vague, invisible, and unmanaged. An invisible and unrecognized de facto culture can undermine business goals and strategies and lead to business failures. The authors...
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The structure of novel polyurethanes containing synthetic poly[(R,S)-3-hydroxybutyrate]
PublikacjaThe aim of this study was to estimate the structure of new polyurethanes with the potential to be used in medicine. Atactic poly[(R,S)-3-hydroxybutyrate], obtained via a ring-opening polymerization, and polycaprolactonediol or polyoxytetramethylenediol were used to built the soft segments. 4,4'-methylene dicyclohexyl diisocyanate and 1,4-butanediol were the components to form hard segments. Polyurethanes with low-molecular weight...
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Machine learning applied to bi-heterocyclic drugs recognition
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Designing acoustic scattering elements using machine learning methods
PublikacjaIn the process of the design and correction of room acoustic properties, it is often necessary to select the appropriate type of acoustic treatment devices and make decisions regarding their size, geometry, and location of the devices inside the room under the treatment process. The goal of this doctoral dissertation is to develop and validate a mathematical model that allows predicting the effects of the application of the scattering...
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Architektury systemów informatycznych wspomagających rozwój e-uczelni
PublikacjaPrzedstawiono charakterystykę podstawowych kategorii architektur systemów informatycznych. Zaprezentowano koncepcję środowiska zintegrowanego e-uczelni opartą na architekturze zorientowanej na usługi dostępne dla poszczególnych kategorii użytkowników. Uzasadniono wybór takiego podejścia oraz przeanalizowano aspekty bezpieczeństwa. Omówiono również zasady integracji istniejących już systemów.
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Assessing the attractiveness of human face based on machine learning
PublikacjaThe attractiveness of the face plays an important role in everyday life, especially in the modern world where social media and the Internet surround us. In this study, an attempt to assess the attractiveness of a face by machine learning is shown. Attractiveness is determined by three deep models whose sum of predictions is the final score. Two annotated datasets available in the literature are employed for training and testing...
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Relativistic theory of photoionization of one electron systems: an eigen channel R-matrix approach.
PublikacjaPrzedstawiono zastosowanie metody kanałów własnych R-macierzy do opisu procesu fotojonizacji relatywistycznych układów jednoelektronowych.
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Toward Robust Pedestrian Detection With Data Augmentation
PublikacjaIn 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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White light thermoplasmonic activated gold nanorod arrays enable the photo-thermal disinfection of medical tools from bacterial contamination
PublikacjaThe outspread of bacterial pathogens causing severe infections and spreading rapidly, especially among hospitalized patients, is worrying and represents a global public health issue. Current disinfection techniques are becoming insufficient to counteract the spread of these pathogens because they carry multiple antibiotic-resistance genes. For this reason, a constant need exists for new technological solutions that rely on physical...
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Informal Workplace Learning and Employee Development. Growing in the Organizational New Normal
PublikacjaThe new paradigm in employee development assumes that employees should proactively direct their learning and growth. Most workplace learning is basically informal and occurs through daily work routines, peer-to-peer interactions, networking, and typically brings about significant positive outcomes to both individuals and organizations. Yet, workplace learning always occurs in a pre-defined context and this context has recently...
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E-Estonia as a role model? Some general considerations and applicability in France
PublikacjaEstonia has recently been widely recognised – in the policy circles, academia, as well as the media space – as one of the more advanced nation states when it comes to digital government (and governance) transformation (e.g. Margetts and Naumann, 2017; Heller, 2017). Ever greater attention Estonia attracted with the two most recent digital government initiatives, namely the e-Residency and the virtual data embassy, both first of...
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The Use of Big Data in Regenerative Planning
PublikacjaWith 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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Technical physics (Data Engineering)_22/23
Kursy OnlineField of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.
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Technical physics (Data Engineering)_23/24
Kursy OnlineField of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.
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Why do Open Government Data initiatives fail in developing countries? A root cause analysis of the most prevalent barriers and problems
PublikacjaOpen government data (OGD) include the provision of government data, which have so far been reserved for the provision of public utilities and services, wherein different stakeholders may create value out of the same source. Recently, OGD initiatives around the world have dampened or were found to be inadequate for one or other reasons. The present study seeks to underline the root causes behind these inadequate or stalled initiatives...
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Basics of Data Warehouses Path
Kursy OnlineWithin 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.
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Streaming Real-time Data in Distributed Dispatcher and Teleinformation Systems for Visualization of Multimedia Data of the Border Guard
PublikacjaSurveillance 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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Data Structures (Doctoral Studies) - New
Kursy OnlineThe 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.
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Learning
Czasopisma -
Zapewnienie interoperacyjności usług informacyjnych podstawą rozwoju e-uczelni
PublikacjaPodano definicję e-uczelni oraz charakterystyczne cechy tego typu uczelni. Określono możliwe modele funkcjonalne wraz z podstawowymi zadaniami wykonywanymi w środowisku uczelnianym. Podkreślono istotną rolę usług informacyjnych zorientowanych na potrzeby uczelni. Dodatkowo zaprezentowano różne metody integracji takich usług oraz ich wykorzystania przy realizacji różnych scenariuszy wykonania zadań uczelnianych. Zaproponowano opis...
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Surface Dielectric Barrier Discharge Plasma Actuators
PublikacjaThis paper presents a part of the works conducted in the Plasmaero European project (task 1.1) on surface dielectric barrier discharge actuators applied to airflow control. The study is divided into several parts. In the first part, the goal is to enhance the electric wind produced by a typical single DBD actuator by optimization of the active electrode shape. For instance, the use of a thin wire instead of a plate air-exposed...
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Trailing-Edge Separation Control of a NACA 0015 Airfoil Using Dielectric-Barrier-Discharge Plasma Actuators
PublikacjaThis paper presents a part of the works conducted in the Plasmaero European project (task 3.1), where the trailing-edge flow separation of a NACA 0015 airfoil has been controlled using four different dielectric barrier discharge (DBD) actuator types at three institutions across Europe. The results show that it is possible to enhance the aerodynamic performance of aircraft at speeds up to 40 m/s. Dielectric-barrier-discharge vortex...
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The level of Knowledge and use of tax exemptions for R&D activities
Dane BadawczeThe following research data contains the answers of 259 entrepreneurs to questions regarding tax reliefs and exemptions for research and development activities. As part of the study answers to the following questions were obtained:Have you ever used the tax relief for new technologies / R&D?Has your company acquired a license / software (intangible...
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Determinanty rozwoju przedsiębiorstwa skoncentrowanego na e-biznes
PublikacjaW artykule przedstawiono istotne czynniki wpływające na rozwój przedsiębiorstwa skoncentrowanego na funkcjonowanie w e-biznesie. Dokonano przeglądu współczesnych systemów informatycznych wspomagających procesy zarządzania. Szczególną uwagę zwrócono na systemy zarządzania relacjami z klientami i systemy planowania zasobów w przedsiębiorstwie. Opisano wpływ systemów handlu elektronicznego na konkurencyjność przedsiębiorstw.
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BIG PROBLEMS WITH BIG DATA
PublikacjaThe article presents an overview of the most important issues related to the phenomenon called big data. The characteristics of big data concerning the data itself and the data sources are presented. Then, the big data life cycle concept is formulated. The next sections focus on two big data technologies: MapReduce for big data processing and NoSQL databases for big data storage.
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METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) (2022/2023)
Kursy OnlineMETHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) - Economic Analytics, Lecture and Lab, Winter Semester 2022/2022. Teacher: dr Piotr Paradowski
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Weighted Ensemble with one-class Classification and Over-sampling and Instance selection (WECOI): An approach for learning from imbalanced data streams
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Exploring the Solubility Limits of Edaravone in Neat Solvents and Binary Mixtures: Experimental and Machine Learning Study
PublikacjaThis study explores the edaravone solubility space encompassing both neat and binary dissolution media. Efforts were made to reveal the inherent concentration limits of common pure and mixed solvents. For this purpose, the published solubility data of the title drug were scrupulously inspected and cured, which made the dataset consistent and coherent. However, the lack of some important types of solvents in the collection called...
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Risk characterisation of the required index R in the new probabilistic rules for damage stability
PublikacjaWymagany wskaźnik podziału grodziowego R jest miarą bezpieczeństwa statku w wypadku kolizji. Zwykle wyznacza się go w oparciu o wskaźniki dla wybranych, istniejących statków. W pracy podano jak ustalić ten wskaźnik w oparciu o dane dotyczące kolizji (wypadkowości) statków.
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Massive surveillance data processing with supercomputing cluster
PublikacjaIn 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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INDIVIDUAL TREE DETECTION FROM UAV LIDAR DATA IN A MIXED SPECIES WOODLAND
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Bimodal deep learning model for subjectively enhanced emotion classification in films
PublikacjaThis research delves into the concept of color grading in film, focusing on how color influences the emotional response of the audience. The study commenced by recalling state-of-the-art works that process audio-video signals and associated emotions by machine learning. Then, assumptions of subjective tests for refining and validating an emotion model for assigning specific emotional labels to selected film excerpts were presented....
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Implementing knowledge-based virtual organisations for the e-Decisional community
PublikacjaW pracy przedstawiono koncepcyjne zasady funkcjonowania formy spolecznej zwanej e-Decisional Community oraz omowiono mozliwosci zastosowania w takiej formie zasad opartych na wiedzy organizacji wirtualnych.