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METHOD OF TRAINING THE ENDOSCOPIC VIDEO ANALYSIS ALGORITHMS TO MAXIMIZE BOTH ACCURACY AND STABILITY
PublikacjaIn the article a new training and testing method of endoscopic video analysis algorithms is presented. Classical methods take into account only eciency of recognizing objects on single video frames. Proposed method additionally considers stability of classiers output for real video input. The method is simple and can be trained on data sets created for other solutions. Therefore, it is easily applicable to existing endoscopic video...
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Continuous learning as a method of raising qualifications – the perspective of workers, employers and training organizations
PublikacjaContinuous learning is discussed in strategic documents of Poland and the European Union. In Poland, the idea of continuous learning is not very popular. However, in the context of strong competition in the labour market and the progressive globalization processes, the skills issue takes on new meaning — both for employees and employers. In order to adapt skills to labour market needs it is necessary to conduct adequate studies...
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Assessment of metal removal in a surface flow constructed wetland treating landfill leachate
PublikacjaThe study concerns heavy metal retention and transformation processes in a free water surface constructed wetland treating landfill leachate in a temperate climate. The total effectiveness of heavy metals removal in the analyzed CW was evaluated basing on heavy metals inflow and outflow concentrations. The concentrations of eight heavy metals (Fe, Mn, Zn, Pb, Ni, Cu, Cr, Cd) in landfill leachate (LL) and sediments were measured....
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Influence of a Radio Frequency on RF Fingerprinting Accuracy Based on Ray Tracing Simulation
PublikacjaIn this paper the influence of a radio signal frequency on performance of Indoor Positioning System based on fingerprinting has been examined using ray-tracing simulations. It has been simulated how spatial distribution of an RF signal strength change with the signal’s frequency. The results were used to show its’ impact on the behavior of localization algorithms that are employing RSS measurements to determine node’s position...
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Application of probabilistic tools to extend load test design of bridges prior to opening
PublikacjaLoad tests of bridges are widely performed in a large number of countries. Deterministic comparison of measurement results to the theoretical, FEM (finite element method)-based outcomes with possible further calibration is mostly applied. Sometimes, the data collected in the tests are also used to calibrate the reliability factors of bridge structures or their components. This work proposes to complement the stage of the load test...
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Benchmarking Deep Neural Network Training Using Multi- and Many-Core Processors
PublikacjaIn the paper we provide thorough benchmarking of deep neural network (DNN) training on modern multi- and many-core Intel processors in order to assess performance differences for various deep learning as well as parallel computing parameters. We present performance of DNN training for Alexnet, Googlenet, Googlenet_v2 as well as Resnet_50 for various engines used by the deep learning framework, for various batch sizes. Furthermore,...
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A Self-Adaptive Complex Root Tracing Algorithm for the Analysis of Propagation and Radiation Problem
PublikacjaAn improved complex root tracing algorithm for radiation and propagation issues is proposed. The approach is based on a self-adaptive discretization of Cauchy’s argument principle for a C × R space and requires a reduced number of function calls in comparison to other procedures presented in the literature. A few different examples concerning propagation and radiation problems have been considered to verify the validity and efficiency...
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Computer-assisted pronunciation training—Speech synthesis is almost all you need
PublikacjaThe research community has long studied computer-assisted pronunciation training (CAPT) methods in non-native speech. Researchers focused on studying various model architectures, such as Bayesian networks and deep learning methods, as well as on the analysis of different representations of the speech signal. Despite significant progress in recent years, existing CAPT methods are not able to detect pronunciation errors with high...
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International Journal of Vocational Education and Training
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Education and Training in Autism and Developmental Disabilities
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International Journal of Athletic Therapy & Training
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Empirical Research in Vocational Education and Training
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Psychotherapy: Theory, Research, Practice, Training
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JOURNAL OF THE AMERICAN SOCIETY OF BREWING CHEMISTS
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Infectious Diseases: News, Opinions, Training
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Noturnos, etudes, scherzi...
Publikacjakatalog wystawy malarstwa i rzeźby grupy polskich artystów mieszkajacych w Portugalii, która miała miejsce w Casa Santa Maria, Cascais w Portugali. Twórczość inspirowana muzyka Fryderyka Chopina z okazji 200 rocznicy urodzin kompozytora. Format 16,5x24cm, 4 strony w języku portugalskim. Na stronach 3 i 4 przedstawiona jest nota o autorze i jego twórczosci oraz reprodukcja jednego z 5 obrazów prezentowanych na wystawie.
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Bifunctional Polymeric Carbon Nitride via Tuning Fabrication Conditions for Photocatalysis
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Self-Tuning Dead-Time Compensation Method for Voltage-Source Inverters
PublikacjaPrzedstawiono nową, kompleksową metodę kompensacji zniekształceń napięcia wyjściowego falownika z modulacją szerokości impulsów. Proponowana metoda umożliwia automatyczne dopasowanie parametrów charakterystyki kompensacyjnej do aktualnej konfiguracji falownika i obciążenia, np. po zmianie przewodu łączącego falownik z obciążeniem. Adaptacja do nowych warunków polega na dostrajaniu wartości parametrów zależności opisującej napięcie...
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Tuning Properties of Irregular Posts in Waveguide Junction - Tunable Filter Application
PublikacjaW artykule opisano filtrowe zastosowanie metody hybrydowej MM-FDFD analizy rozpraszania fali elektromagnetycznej od obiektów o nieregularnym kształcie umieszczonych w złączu falowodowym. Nieregularnym kształt obiektów rozpraszających umożliwia wykorzystanie ich do strojenia filtrów falowodych bez konieczności stosowania dodatkowych elementów strojących.
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Fractional delayor application in self-tuning sub-sample delay estimator
PublikacjaW artykule przedstawiono nowe rozwiązanie samonastrajalnego estymatora opóźnienia sygnału sinusoidalnego. Estymator działa w czasie dyskretnym. Proponowane rozwiązanie wykorzystuje kaskadowe połączenie cyfrowego filtru ułamkowo opóźniającego służącego do synchronizacji próbkowania i liniowo-fazowego cyfrowego filtru Hilberta. Oryginalność polega na zastosowaniu tu filtrów cyfrowych o bardzo małej złożoności numerycznej. Jest ona...
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Tuning the ferromagnetic phase in the CDW compound SmNiC2 via chemical alloying
PublikacjaWe report a study on tuning the charge density wave (CDW) ferromagnet SmNiC2 to a weakly coupled superconductor by substituting La for Sm. X-ray diffraction measurements show that the doped compounds obey Vegard’s law, where La (Lu) alloying expands (shrinks) the lattice due to its larger (smaller) atomic size than Sm. In the series Sm1−xLaxNiC2, CDW transition (TCDW =148K) for SmNiC2 is gradually suppressed, while the ferromagnetic...
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Tuning the photocatalytic performance through magnetization in Co-Zn ferrite nanoparticles
PublikacjaIn this work, the link between the photocatalytic performance of Co-Zn ferrite nanoparticles and the net magnetic moment is analyzed. CoxZn1-xFe2O4 nanoparticles (0 ≤ x ≤ 1) were synthesized by co-precipitation method and different physicochemical techniques were employed to characterize the samples (X-ray diffraction, Transmission Electron Microscopy (TEM), BET surface area, Diffuse Reflectance Spectroscopy (DRS), Photoluminescence spectroscopy,...
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Robust Parameter Tuning of Antenna Structures by Means of Design Specification Adaptation
PublikacjaParameter tuning through numerical optimization has become instrumental in the design of high-performance antenna systems. Yet, practical optimization faces several major challenges, including high cost of massive evaluations of antenna characteristics, normally involving full-wave electromagnetic (EM) analysis, large numbers of adjustable variables, the shortage of reasonable initial solutions in the case of topologically complex...
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Adam Świeżyński dr hab.
Osobyhttps://sites.google.com/view/adamswiezynski/strona-g%C5%82%C3%B3wna-main-page/kariera-zawodowa-career?authuser=0
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Silver Nanoparticles as Chlorhexidine and Metronidazole Drug Delivery Platforms: Their Potential Use in Treating Periodontitis
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Can olfactory training support improvement of cognitive functioning in patients with mild cognitive impairment?
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The impact of military activities on the concentration of mercury in soils of military training grounds and marine sediments
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The Influence of Grip Width on Training Volume During the Bench Press with Different Movement Tempos
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Changes in Muscle Pattern Activity during the Asymmetric Flat Bench Press (Offset Training)
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Evaluation of turning with different cooling-lubricating techniques in terms of surface integrity and tribologic properties
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Dry cutting effect in turning of a duplex stainless steel as a key factor in clean production
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Investigation of machinability of Ti–B-SiCp reinforced Cu hybrid composites in dry turning
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Clinical Training during the COVID-19 Pandemic: Experiences of Nursing Students and Implications for Education
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Initial Stages of Angiosperm Greening Monitored by Low-Temperature Fluorescence Spectra and Fluorescence Lifetimes
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Greening procedures and analytical parameters. The polychlorinated naphthalenes analysis in complex matrices as proof of concept
PublikacjaDue to the complexity of analytical procedures employed for the determination of wide spectrum of persistent organic pollutants (POPs), it is important to consider the green character of the applied protocols and propose the greenest solutions. In this review, the green aspects of several analytical procedures used for the determination of polychlorinated naphthalenes (PCNs) (as a representatives of POPs) in different types of...
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Safety and Impact on Training of the Influenza Vaccines in Elite Athletes Participating in the Rio 2016 Olympics
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Characterization of Aliphatic Polyesters Synthesized via Enzymatic Ring-Opening Polymerization in Ionic Liquids
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Vaccine versus infection – COVID-19-related loss of training time in elite athletes
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Distribution and removal efficiency of heavy metals in two constructed wetlands treating landfill leachate
PublikacjaThe results of heavy metals (Fe, Mn, Zn, Ni, Cu, Cr, Pb, Cd) removal and partitioning between aqueous and solid phases at two wetlands (TWs) treating municipal landfill leachates are presented. One of the TWs is a surface flow facility consisting of 10 ponds. The other TW is a newly constructed pilot-scale facility consisting of three beds with alternately vertical and horizontal sub-surface flow. The metals concentrations were...
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Vehicle detector training with labels derived from background subtraction algorithms in video surveillance
PublikacjaVehicle detection in video from a miniature station- ary closed-circuit television (CCTV) camera is discussed in the paper. The camera provides one of components of the intelligent road sign developed in the project concerning the traffic control with the use of autonomous devices being developed. Modern Convolutional Neural Network (CNN) based detectors need big data input, usually demanding their manual labeling. In the presented...
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Machine Learning and Text Analysis in an Artificial Intelligent System for the Training of Air Traffic Controllers
PublikacjaThis chapter presents the application of new information technology in education for the training of air traffic controllers (ATCs). Machine learning, multi-criteria decision analysis, and text analysis as the methods of artificial intelligence for ATCs training have been described. The authors have made an analysis of the International Civil Aviation Organization documents for modern principles of ATCs education. The prototype...
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Public Perception of Digital Contact Tracing App and Implications for Technology Acceptance and Use Models
PublikacjaGovernments are increasingly adopting digital contact tracing applications (DCT) as a key component of their response to the COVID-19 pandemic. However, governments are struggling to achieve widespread adoption of DCT necessary for obtaining the expected individual and public benefits associated with its use. Consequently, studies on DCT have focused on the barriers to DCT adoption in different contexts and possible ways of overcoming...
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Pyrolysis of Pruning Residues from Various Types of Orchards and Pretreatment for Energetic Use of Biochar
PublikacjaThe routine pruning and cutting of fruit trees provides a considerable amount of biowaste each year. This lignocellulosic biomass, mainly in the form of branches, trunks, rootstocks, and leaves, is a potential high-quality fuel, yet often is treated as waste. The results of a feasibility study on biochar production by pyrolysis of residues from orchard pruning were presented. Three types of biomass waste were selected as raw materials...
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Selection of an artificial pre-training neural network for the classification of inland vessels based on their images
PublikacjaArtificial neural networks (ANN) are the most commonly used algorithms for image classification problems. An image classifier takes an image or video as input and classifies it into one of the possible categories that it was trained to identify. They are applied in various areas such as security, defense, healthcare, biology, forensics, communication, etc. There is no need to create one’s own ANN because there are several pre-trained...
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Direct renin inhibitors in hypertension – Approaching the moment of truth
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Surface properties tuning of exfoliated graphitic carbon nitride for multiple photocatalytic performance
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Tuning Carbon Nanotubes Through Poor Metal Addition to Iron Catalysts in CVD
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Optimal design and control tuning of the power generation interfaces using genetic algorithms
PublikacjaReferat przedstawia zastosowania algorytmów genetycznych do rozwiązywania klasycznych problemów w elektrotechnice. Zostały one zastosowane do optymalizacji parametrów regulatora VSC w celu zmniejszenia strat mocy i dostrajania tych parametrów w stanach przejściowych. Wyniki rozważań zostały potwierdzone za pomocą badań symulacyjnych.
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Model reference method and continuous-time system identification in tuning the PID controllers.
PublikacjaW pracy opisano zagadnienie doboru nastaw sterowników PID w układach regulacji automatycznej. W rozważaniach wzięto pod uwagę zarówno klasyczną strukturę jednopętlowego układu sterowania z regulatorem PID umieszczonym w torze głównym, jak też odmienną realizację I-PD z członem całkującym występującym w torze głównym i sterownikiem proporcjonalno-różniczkującym ulokowanym w dodatkowej pętli sprzężenia zwrotnego. Ponieważ powszechnie...
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Accelerated Parameter Tuning of Antenna Structures by Means of Response Features and Principal Directions
PublikacjaPopularity of numerical optimization has been steadily on the rise in the design of modern antenna systems. Resorting to mathematically rigorous parameter tuning methods is a matter of practical necessity as interactive techniques (e.g., parameter sweeping) are no longer adequate when handling several performance figures over multi-dimensional parameter spaces. The most common design scenarios involve local tuning since decent...