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Search results for: TRANSITION NETWORK GRAPHS
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<title>Recurrent neural network application to image filtering: 2-D Kalman filtering approach</title>
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Method to solve the non-linear systems of equations for steady gradually varied flow in open channel network.
PublicationW artykule omówiono rozwiązanie systemu równań nieliniowych opisujacych przepływ ustalony wolnozmienny w sieci kanałów otwartych. Niewiadomymi są glębokości w poszczególnych przekrojach oraz natężenia przepływów w poszczególnych gałęziach systemu. Układ musi być rozwiązywany iteracyjnie. Klasyczne metody Picarda i Newtona mogą okazać się nieskuteczne ze względu na oscylacje rozwiązania w kolejnych iteracjach i związany z tym brak...
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Safety assessment of ships in critical conditions using a knowledge-based system for design and neural network system
PublicationW pracy opisano wybrane elementy metody oceny bezpieczeństwa statków w stanie uszkodzonym, ukierunkowanej na ocenę osiągów statku i ocenę ryzyka. Metoda analizy osiągów i zachowania się statku w stanie uszkodzonym została wykorzystana do oceny charakterystyk hydromechanicznych statku uszkodzonego. Do oceny ryzyka wykorzystano elementy metodyki Formalnej Oceny Bezpieczeństwa. System ekspertowy został wykorzystany do analziy podziału...
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Influence of input data on airflow network accuracy in residential buildings with natural wind - and stack - driven ventilation.
PublicationW artykule omówiono wpływ danych wejściowych na dokładność modelu przepływu sieciowego powietrza w budynkach mieszkalnych z naturalną i kominową wentylacją. Zastosowano połączony model AFN-BES. Wyniki numeryczne omówiono dla 8 różnych przypadków z różnymi danymi ciśnienia wiatru. Wyniki pokazały, że ogromny wpływ danych wejściowych dotyczących ciśnienia wiatru na wyniki numeryczne.
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Mateusz Weiland Network Solutions
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EFFECTS OF DOPING ON STRUCTURE AND PHASE TRANSITION OF HIGH TEMPERATURE PROTON CONDUCTOR LaNb1-xMxO4-σ (M=As, Sb, V, Ta AND X=0,05 TO 0,3)
PublicationIn this work synthesis of lanthanum orthoniobate has been done. Doping by arsenic, antimony, vanadium or tantalum in 5% to 30% have been introduced. The relationship between doping type and percentage and structural properties of the material have been investigated.
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Stanisław Szczepański prof. dr hab. inż.
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Advancing the evidence base for public policies impacting on dietary behaviour, physical activity and sedentary behaviour in Europe: The Policy Evaluation Network promoting a multidisciplinary approach
PublicationNon-communicable diseases (NCDs) are the leading cause of global mortality. As the social and economic costs of NCDs have escalated, action is needed to tackle important causes of many NCD’s: low physical activity levels and unhealthy dietary behaviours. As these behaviours are driven by upstream factors, successful policy interventions are required that encourage healthy dietary behaviours, improve physical activity levels and...
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Lucyna Nyka prof. dr hab. inż. arch.
PeopleLucyna Nyka (Ph.D., D.Sc., Prof.) is a Professor at the Faculty of Architecture, Gdańsk University of Technology, in 2008-2016 a Vice-Dean for Research, and since 2016 – Dean of the Faculty of Architecture. Her research interests focus on issues concerning water-related architecture and urban landscapes. She is the author and co-author of many projects focused on urban renewal. She was an author of the EU-founded (Audiovisual...
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Longitudinal drug synergy assessment using convolutional neural network image-decoding of glioblastoma single-spheroid cultures
PublicationAbstract Background In recent years, drug combinations have become increasingly popular to improve therapeutic outcomes in various diseases, including difficult to cure cancers such as the brain cancer glioblastoma. Assessing the interaction between drugs over time is critical for predicting drug combination effectiveness and minimizing the risk of therapy resistance. However, as viability readouts of drug combination experiments...
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<title>Selection of GRNN network parameters for the needs of state vector estimation of maneuvering target in ARPA devices</title>
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Optimal Selection of Input Features and an Acompanying Neural Network Structure for the Classification Purposes - Skin Lesions Case Study
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Radioimmunotherapy Confers Long-Term Survival to Lymphoma Patients with Acceptable Toxicity: Registry Analysis by the International Radioimmunotherapy Network
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Optimal selection of input features and an acompanying neural network structure for the classification purposes - skin lesions case study
PublicationMalignant melanomas are the most deadly type of skin cancers however detected early enough give a high chances for successful treatment. The last years saw the dynamic growth of interest of automatic computer-aided skin cancer diagnosis. Every month brings new research results on new approaches to this problem, new methods of preprocessing, new classifiers, new ideas to follow etc. In particular, the rapid development of dermatoscopy,...
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Contact force network evolution in active earth pressure state of granular materials: photo‑elastic tests and DEM
PublicationArtykuł omawia ewolucję sieci sił kontaktowych w materiałach granulowanych podczas quasi-statycznego stanu aktywnego. Doświadczenia foto sprężyste zostały wykonane dla kulek szklanych. Doświadczenia zostały symulowane stosując metodę elementów dyskretnych (DEM). Model DEM prawidłowo przewidział strukturę sił kontaktowych i ich wielkość, lokalizację odkształceń oraz obszary zmian fazowych.
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Optimal edge-coloring with edge rate constraints
PublicationWe consider the problem of covering the edges of a graph by a sequence of matchings subject to the constraint that each edge e appears in at least a given fraction r(e) of the matchings. Although it can be determined in polynomial time whether such a sequence of matchings exists or not [Grötschel et al., Combinatorica (1981), 169–197], we show that several questions about the length of the sequence are computationally intractable....
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Prenatal stress leads to changes in IGF-1 binding proteins network in the hippocampus and frontal cortex of adult male rat
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A diode rectifier with a Special Coupled Reactor and additional Active Power Filter in the Marine Local Power Network Supply Conditions
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A Simulation-Optimization Model for Automated Parcel Lockers Network Design in Urban Scenarios in Pamplona (Spain), Zakopane, and Krakow (Poland)
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Stromal-Epithelial Cross-Talk in the Intestinal Stem Cell Niche is Mediated by a Regulatory Network that Involves TGF-Beta and CTGF
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Planowanie rozwoju sieci dystrybucji energii elektrycznej na obszarach miejskich = Planning of development of the urban electricity distribution network
PublicationReferat przedstawia opis rozwiązania problemu planowania rozwoju sieci dystrybucji energii elektrycznej na obszarach miejskich. Rozwiązanie uzyskuje się w drodze zaprogramowania rozwoju z wykorzystaniem algorytmu genetycznego. Uwzględniane są dane o zawodności istniejącej infrastruktury i jej ograniczenia przesyłowe. Podjęto również próbę odwzorowania możliwych do wyboru tras prowadzenia linii kablowych. Funkcja zdatności rozwiązania...
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Update on the molecular pathogenesis and clinical treatment of Mantle Cell Lymphoma (MCL): minutes of the 9th European MCL Network conference
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A review on application of artificial neural network (ANN) for performance and emission characteristics of diesel engine fueled with biodiesel-based fuels
PublicationBiodiesel has been emerging as a potential and promising biofuel for the strategy of reducing toxic emissions and improving engine performance. Computational methods aiming to offer numerical solutions were inevitable as a study methodology which was sometimes considered the only practical method. Artificial neural networks (ANN) were data-processing systems, which were used to tackle many issues in engineering and science, especially...
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A new analyzer based on pellistor sensor with neural network data postprocessing for measurement of hydrocarbons in lower explosive limit range
PublicationW pracy przedstawiono rezultaty pierwszego etapu badań nad nowym typem analizatora do oznaczania stężenia wodoru i lotnych węglowodorów w zakresie dolnej granicy wybuchowości. Analizator ten zbudowano w oparciu o pojedynczy czujnik pelistorowy z układem przetwarzania danych wykorzystującym sztuczną sieć neuronową.
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Polynomial Algorithm for Minimal (1,2)-Dominating Set in Networks
PublicationDominating sets find application in a variety of networks. A subset of nodes D is a (1,2)-dominating set in a graph G=(V,E) if every node not in D is adjacent to a node in D and is also at most a distance of 2 to another node from D. In networks, (1,2)-dominating sets have a higher fault tolerance and provide a higher reliability of services in case of failure. However, finding such the smallest set is NP-hard. In this paper, we...
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Tytanowa międzywarstwa w łącznikach do spawania Al i stopów AlMg ze stalą=Titanium interlayer in transition joints to welding aluminium and aluminium alloys AlMg with steel
PublicationPrzedstawiono idee stosowania łączników i ich wytwarzanie oraz własności i niedostatki obecnie stosowanych łączników. Zaprezentowano wyniki prób technologicznych wytwarzania oraz wyniki badań mechanicznych i strukturalnych trójwarstwowego łącznika stal-tytan-aluminium.
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INFLUENCE OF A VERTEX REMOVING ON THE CONNECTED DOMINATION NUMBER – APPLICATION TO AD-HOC WIRELESS NETWORKS
PublicationA minimum connected dominating set (MCDS) can be used as virtual backbone in ad-hoc wireless networks for efficient routing and broadcasting tasks. To find the MCDS is an NP- complete problem even in unit disk graphs. Many suboptimal algorithms are reported in the literature to find the MCDS using local information instead to use global network knowledge, achieving an important reduction in complexity. Since a wireless network...
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Romanika Okraszewska dr inż. arch.
PeopleRomanika Okraszewska, Ph.D., Eng. Arch., is an Assistant Professor at the Faculty of Civil and Environmental Engineering of Gdańsk University of Technology (GUT). Graduated from the mathematical and informatical class at the National Education Commission High School in Gdańsk. Graduated from two faculties of Gdańsk University of Technology, Architecture and Urban Planning (2002) and Management and Economics (2004). Participant...
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Recurrent Neural Network Based Adaptive Variable-Order Fractional PID Controller for Small Modular Reactor Thermal Power Control
PublicationThis paper presents the synthesis of an adaptive PID type controller in which the variable-order fractional operators are used. Due to the implementation difficulties of fractional order operators, both with a fixed and variable order, on digital control platforms caused by the requirement of infinite memory resources, the fractional operators that are part of the discussed controller were approximated by recurrent neural networks...
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A Dynamic Forecast Demand Scenario Analysis to Design an Automated Parcel Lockers Network in Pamplona (Spain) Using a Simulation-Optimization Model
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Prediction of skin color, tanning and freckling from DNA in Polish population: linear regression, random forest and neural network approaches
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Metabolic Profiling of Jasminum grandiflorum L. Flowers and Protective Role against Cisplatin-Induced Nephrotoxicity: Network Pharmacology and In Vivo Validation
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Application of Generalized Regression Neural Network and Gaussian Process Regression for Modelling Hybrid Micro-Electric Discharge Machining: A Comparative Study
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Artificial neural network model of hardness, porosity and cavitation erosion wear of APS deposited Al2O3 -13 wt% TiO2 coatings
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CRVG - a new model for wireless networks topology generation
PublicationThis paper presents a new model of wireless network topology generator. Its main advantage is the possibility of relatively sparse networks generation. Because no iteration is needed, the model can be used for massive generation of networks for testing. The topological properties of produced graphs place them in the class of scale free networks, resembling real ones.
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Kacper Wereszko mgr inż.
PeopleKacper Wereszko received the M.Sc. in 2016 (field of study: computer science, specialization: Internet technologies and algorithms). Since 2017 he is a Ph.D. student in the field of computer science. He works as assistant in Department of Algorithms and System Modelling. His research interests focus on security properties of graphs, domination problems in graphs and their practical applications.
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Using Deep Neural Network Methods for Forecasting Energy Productivity Based on Comparison of Simulation and DNN Results for Central Poland – Swietokrzyskie Voivodeship
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Synergistic effect of carbon fibers and carbon nanotubes on improving thermal stability and flame retardancy of polypropylene: a combination of a physical network and chemical crosslinking
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Using Deep Neural Network Methods for Forecasting Energy Productivity Based on Comparison of Simulation and DNN Results for Central Poland—Swietokrzyskie Voivodeship
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First Measurements of the Earth’s Electric Field at the Arctowski Antarctic Station, King George Island, by the New Polish Atmospheric Electricity Observation Network
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Application of PSO-artificial neural network and response surface methodology for removal of methylene blue using silver nanoparticles from water samples
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Korporacja Guggenheima- globalny charakter sieci muzeów a tożsamość miasta = Guggenheim's Corporation- global character of museums' network vresus city identity
PublicationFundacja Solomona R. Guggenheima jest instytucją zajmującą się promowaniem współczesnej kultury wizualnej za pomocą organizowanych wystaw, badań, programów edukacyjnych oraz publikacji. Architektura obiektów wystawienniczych związanych z Fundacją, jest przedmiotem i zarazem pełni rolę środka promocji współczesnej sztuki. Status instytucji przewiduje globalną ekspansję, jednak dotychczas w gestii władz Fundacji znajdują się: siedziba...
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APPLICATION OF THE GWR MODEL FOR PREDICTING THE ROAD FATALITIES RATE ON THE ROAD NETWORK IN THE NUTS 3 REGIONS IN EUROPE ON THE EXAMPLE OF KUYAVIAN- -POMERANIAN VOIVODESHIP
PublicationThe article presents the application of the GWR (Geographically Weighted Regression) model to the description of differences in the level of road traffic safety in individual counties on the example of the Kuyavian-Pomeranian Voivodeship. The GWR model developed for counties, taking into account the diversity of NUTS 3 regions, can be a helpful tool for traffic safety management in voivodships and lower administrative units, and...
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Latin-American Algorithms, Graphs and Optimization Symposium
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Cologne-Twente Workshop on Graphs and Combinatorial Optimization
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Marek Wójcikowski dr hab. inż.
PeopleMarek Wójcikowski graduated in 1993 from the Department of Electronics at Gdansk University of Technology (GUT). In 2002 he obtained a doctoral degree in the field of electronics and in 2016 he obtained a habilitation at the Faculty of Electronics, Telecommunications and Informatics at GUT. From the beginning of his career he is associated with GUT: first as an assistant (years 1994-2002) and then as assistant professor (since...
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Ewa Lechman prof. dr hab.
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Synergistic effect of nanoscale carbon black and ammonium polyphosphate on improving thermal stability and flame retardancy of polypropylene: A reactive network for strengthening carbon layer
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Correction: Synergistic effect of carbon fibers and carbon nanotubes on improving thermal stability and flame retardancy of polypropylene: a combination of a physical network and chemical crosslinking
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Particle swarm optimization–artificial neural network modeling and optimization of leachable zinc from flour samples by miniaturized homogenous liquid–liquid microextraction
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