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wyświetlamy 1000 najlepszych wyników Pomoc
Wyniki wyszukiwania dla: jel classification: l26, i21, a21, a22
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Synthesis and photochemical transformation of 3β,21-dihydroxypregna-5,7-dien-20-one to novel secosteroids that show anti-melanoma activity
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Trzęsienia ziemi 21 września 2004 r. w Polsce północno-wschodniej oraz ich wpływ na obiekty budowlane
Publikacja21 września 2004 roku w Polsce północno-wschodniej wystąpiły wstrząsy sejsmiczne o magnitudach szacowanych na 4,4 - 5,3 w skali Richtera. W artykule przedstawiono opis zaistniałych zjawisk oraz ocenę ich intensywności i wpływu na konstrukcje budowlane, podając ilustrowane przykłady charakterystycznych uszkodzeń.
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CrN coating in ring-on-ring sliding with distlled water lubrication 5MPa, 0.1m/s specimn. #A23/#B22
Dane BadawczeWear tests in sliding friction of CrN coating on 1.4021 (EN 10088-1) heat treated stainless steel. Ring - on - ring contact in unidirectional sliding, CrN over CrN . Mean contact stress: 5MPa. Sliding velocity: 0,1 m/s. Mean friction radius: 9.5mm. Lubricant: DISTILLED WATER. Tribometer: PT-3. Overall test time till coating penetration 12 min. The...
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CrN coating in ring-on-ring sliding with distlled water lubrication 5MPa, 0.1m/s specimn. #B22/#A23
Dane BadawczeWear tests in sliding friction of CrN coating on 1.4021 (EN 10088-1) heat treated stainless steel. Ring - on - ring contact in unidirectional sliding, CrN over CrN. Mean contact stress: 5MPa. Sliding velocity: 0,1 m/s. Mean friction radius: 9.5mm. Lubricant: DISTILLED WATER. Tribometer: PT-3. Overall test time till coating penetration 6 min. The test...
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Superconductivity in the Cu(Ir1-xPtx)2Se4 spinel
PublikacjaWe report the observation of superconductivity in the CuIr2Se4 spinel induced by partial substitution of Pt for Ir. The optimal doping level for superconductivity in Cu(Ir1-xPtx )2Se4 is x = 0.2, where Tc is 1.76 K. A superconducting Tc vs composition dome is established between the metallic, normal conductor CuIr2Se4 and semiconducting CuIrPtSe4. Electronic structure calculations show that the optimal Tc occurs near the electron count...
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Badania wrzenia R22 w rurkach z powłoką porowatą. Investigation of R22 flow boiling in porous tubes.
PublikacjaW pracy przedstawiono wyniki pomiarów współczynnika przejmowania ciepła przy wrzeniu w przepływie R22 w poziomej rurce z aluminiową powłoką porowatą. Otrzymane dane odniesiono do wyników uzyskanych dla gładkiej stalowej rurki oraz rurki typu microfin. Rurka gładka i z powłoką porowatą była wykonana ze stali nierdzewnej o grubości ścianki 0.6 mm. Grubość powłoki porowatej wynosiła 0,2 mm. Eksperymenty prowadzono przy stopniu suchości...
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Determining optimal gel sensitivity in optical CT scanning of gel dosimeters
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Analysis of 21 appendices from children with multisystem inflammatory syndrome compared to specimens of acute appendicitis – a new insight into MIS-C pathology
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Chemometrics for Selection, Prediction, and Classification of Sustainable Solutions for Green Chemistry—A Review
PublikacjaIn this review, we present the applications of chemometric techniques for green and sustainable chemistry. The techniques, such as cluster analysis, principal component analysis, artificial neural networks, and multivariate ranking techniques, are applied for dealing with missing data, grouping or classification purposes, selection of green material, or processes. The areas of application are mainly finding sustainable solutions...
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An Approach to Imbalanced Data Classification Based on Instance Selection and Over-Sampling
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Impact of Clustering on a Synthetic Instance Generation in Imbalanced Data Streams Classification
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Stacking and rotation-based technique for machine learning classification with data reduction
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Spam classification methods besed on users e-mail communication graphs
PublikacjaW artykule poddano analizie grafy zbudowane w oparciu o logi serwerów pocztowych. Węzły grafów reprezentują nadawców i odbiorców wiadomości e-mail natomiast krawędzie przedstawiają procesy wymiany wiadomości e-mail. Analiza grafów pozwala na znalezienie korelacji pomiędzy topologią grafów a relacjami pomiędzy użytkownikami serwisu pocztowego. W oparciu o te relacje zaproponowano algorytm klasyfikujący wymieniane wiadomości e-mail...
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Detection and classification of gaseous compounds by solid electrolyte cyclic voltammetry sensors
PublikacjaW pracy omówiono właściwości i ostatnie wyniki badań dotyczące czujników elektrokatalitycznych.
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Ecotoxicity and chemical sediment data classification by the useof self-organising maps
PublikacjaArtykuł dotyczy przedstawiania nowej interpretacji szacowania jakości osadów. To oryginalne podejście bada powiązania między parametrami ekotoksyczności (ostrej i chronicznej) i składnikami chemicznymi (zanieczyszczenia takie jak polichlorowane bifenyle, pestycydy, wielopierścieniowe węglowodory aromatyczne, metale ciężkie) próbek osadów Jeziora Turawskiego (Polska) poprzez zastosowanie samoorganizujących się map (SOM) wobec badanego...
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Objects classification based on their physical sizes for detection of events in camera images
PublikacjaIn the paper, a method of estimation of the physical sizes of the objects tracked in the video surveillance system, and a simple module for object classification based on the estimated physical sizes, are presented. The results of object classification are then used for automatic detection of various types of events in the camera image.
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Smart Virtual Bass Synthesis Algorithm Based on Music Genre Classification
PublikacjaThe aim of this paper is to present a novel approach to the Virtual Bass Synthesis (VBS) algorithms applied to portable computers. The proposed algorithm employed automatic music genre recognition to determine the optimum parameters for the synthesis of additional frequencies. The synthesis was carried out using the non-linear device (NLD) and phase vocoder (PV) methods depending on the music excerpt genre. Classification of musical...
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Application of an Electronic Nose Instrument to Fast Classification of Polish Honey Types
PublikacjaThe paper presents practical utilization of an electronic nose prototype, based on the FIGARO semiconductor sensors, in fast classification of Polish honey types—acacia flower, linden flower, rape, buckwheat and honeydew ones. A set of thermostating modules of the prototype provided gradient temperature characteristics of barbotage-prepared gas mixtures and stable measurement conditions. Three chemometric data analysis methods...
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Improving the Accuracy in Sentiment Classification in the Light of Modelling the Latent Semantic Relations
PublikacjaThe research presents the methodology of improving the accuracy in sentiment classification in the light of modelling the latent semantic relations (LSR). The objective of this methodology is to find ways of eliminating the limitations of the discriminant and probabilistic methods for LSR revealing and customizing the sentiment classification process (SCP) to the more accurate recognition of text tonality. This objective was achieved...
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Deep neural networks approach to skin lesions classification — A comparative analysis
PublikacjaThe paper presents the results of research on the use of Deep Neural Networks (DNN) for automatic classification of the skin lesions. The authors have focused on the most effective kind of DNNs for image processing, namely Convolutional Neural Networks (CNN). In particular, three kinds of CNN were analyzed: VGG19, Residual Networks (ResNet) and the hybrid of VGG19 CNN with the Support Vector Machine (SVM). The research was carried...
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Computed aided system for separation and classification of the abnormal erythrocytes in human blood
PublikacjaThe human peripheral blood consists of cells (red cells, white cells, and platelets) suspended in plasma. In the following research the team assessed an influence of nanodiamond particles on blood elements over various periods of time. The material used in the study consisted of samples taken from ten healthy humans of various age, different blood types and both sexes. The markings were leaded by adding to the blood unmodified...
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Identification and classification model of the quality perception determinants and tourist services attributes
PublikacjaW niniejszym rozdziale zaprezentowano model identyfikacji oraz klasyfikacji zarówno determinant percepcji jakości jak i cech charakterystycznych dla usług turystycznych. Wykorzystano w tym celu zarówno cechy charakterystyczne dla usług dowolnego rodzaju zaadaptowane na potrzeby usług turystycznych jak i te które są specyficzne wyłącznie dla tej branży.
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Real and Virtual Instruments in Machine Learning – Training and Comparison of Classification Results
PublikacjaThe continuous growth of the computing power of processors, as well as the fact that computational clusters can be created from combined machines, allows for increasing the complexity of algorithms that can be trained. The process, however, requires expanding the basis of the training sets. One of the main obstacles in music classification is the lack of high-quality, real-life recording database for every instrument with a variety...
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Collecting and classification web data for business using a web farming system
PublikacjaPraca prezentuje system typu Web Farming oraz aspekty związane z jego działaniem.
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The external walls of a passive building: A classification anddescription of their thermal and optical properties
PublikacjaThis paper attempts a new classification of insulating materials from the perspective of their utility in thepro-ecological passive construction industry. The main criterion is the conductivity of thermal and solarenergy. Based on their ability to conduct or block fluxes of thermal and solar energy, six types of insulatingwalls are proposed. On the basis of this criterion there are traditional dividing walls (typical walls, wallinsulating...
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ReFlexeNN - the Wearable EMG Interface with Neural Network Based Gesture Classification
PublikacjaThe electromyographic activity of muscles was measured using a wireless biofeedback device. The aim of the study was to examine the possibility of creating an automatic muscle tension classifier. Several measurement series were conducted and the participant performed simple physical exercises - forcing the muscle to increase its activity accordingly to the selected scale. A small wireless device was attached to the electrodes placed...
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Selected Technical Issues of Deep Neural Networks for Image Classification Purposes
PublikacjaIn recent years, deep learning and especially Deep Neural Networks (DNN) have obtained amazing performance on a variety of problems, in particular in classification or pattern recognition. Among many kinds of DNNs, the Convolutional Neural Networks (CNN) are most commonly used. However, due to their complexity, there are many problems related but not limited to optimizing network parameters, avoiding overfitting and ensuring good...
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Comparison of Methods for Real and Imaginary Motion Classification from EEG Signals
PublikacjaA method for feature extraction and results of classification of EEG signals obtained from performed and imagined motion are presented. A set of 615 features was obtained to serve for the recognition of type and laterality of motion using 8 different classifications approaches. A comparison of achieved classifiers accuracy is presented in the paper, and then conclusions and discussion are provided. Among applied algorithms the...
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Potential and Use of the Googlenet Ann for the Purposes of Inland Water Ships Classification
PublikacjaThis article presents an analysis of the possibilities of using the pre-degraded GoogLeNet artificial neural network to classify inland vessels. Inland water authorities monitor the intensity of the vessels via CCTV. Such classification seems to be an improvement in their statutory tasks. The automatic classification of the inland vessels from video recording is a one of the main objectives of the Automatic Ship Recognition and...
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Efficiency of Artificial Intelligence Methods for Hearing Loss Type Classification: an Evaluation
PublikacjaThe evaluation of hearing loss is primarily conducted by pure tone audiometry testing, which is often regarded as golden standard for assessing auditory function. If the presence of hearing loss is determined, it is possible to differentiate between three types of hearing loss: sensorineural, conductive, and mixed. This study presents a comprehensive comparison of a variety of AI classification models, performed on 4007 pure tone...
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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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From Scores to Predictions in Multi-Label Classification: Neural Thresholding Strategies
PublikacjaIn this paper, we propose a novel approach for obtaining predictions from per-class scores to improve the accuracy of multi-label classification systems. In a multi-label classification task, the expected output is a set of predicted labels per each testing sample. Typically, these predictions are calculated by implicit or explicit thresholding of per-class real-valued scores: classes with scores exceeding a given threshold value...
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Classification of Sea Going Vessels Properties Using SAR Satellite Images
PublikacjaThe aim of the project was to analyze the possibility of using machine learning and computer vision to identify (indicate the location) of all sea-going vessels located in the selected area of the open sea and to classify the main attributes of the vessel. The key elements of the project were to download data from the Sentinel-1 satellite [1], download data on the sea vessels [2], then automatically tag data and develop a detection...
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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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Flow boiling of R22 and R134 a in enhanced tubes.
PublikacjaPrzedstawiono wyniki badań wrzenia R22 oraz R134a w rurkach gładkich i o rozwiniętej powierzchni: mikrożebrowanej i śrubowo-formowanej. Podano opis stanowiska badawczego, procedury pomiarowej oraz metody obliczania średniego współczynnika przejmowania ciepła. Omówiono wyniki badań eksperymentalnych na tle danych cytowanych w literaturze, a także w porównaniu do wybranych korelacji.
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Porównanie efektywności biologicznego usuwania związków biogennych w procesach MUCT i A2/O na przykładzie oczyszczalni w Gdańsku
PublikacjaThis paper presents a comparison of the efficiency of nutrient removal in two different technological systems functioning in WWTP in Gdansk. The upgrade was necessary in order to adjust the parameters of wastewater treatment to more stringent requirements for Total Nitrogen removal (Total Nitrogen concentration < 10 mg/L). Since 2012 the biological treatment line has operated based on modified A2/O process instead of MUCT process....
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Analiza statyczna konstrukcji przęseł oraz podwieszenia mostu MA 21 przez rzekę Odrę w ramach budowy Autostradowej Obwodnicy Wrocławia
PublikacjaCelem opracowania jest niezależna weryfikacja obliczeń statycznych konstrukcji mostu Rędzińskiego we Wrocławiu, dobranie sił w wieszakach oraz weryfikacja przyjętych założeń konstrukcyjnych. W ramach prac wykonano dwa modele: uproszczony oraz złożony. W oparciu o modele przeprowadzono analizę statyczną oraz wytrzymałościową.
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Multiplicative Long Short-Term Memory with Improved Mayfly Optimization for LULC Classification
PublikacjaLand Use and Land Cover (LULC) monitoring is crucial for global transformation, sustainable land control, urban planning, urban growth prediction, and the establishment of climate regulations for long-term development. Remote sensing images have become increasingly important in many environmental planning and land use surveys in recent times. LULC is evaluated in this research using the Sat 4, Sat 6, and Eurosat datasets. Various...
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Minichannel and minigap classification criteria based on the aspect ratio of the minigeometry: A numerical study
PublikacjaA detailed numerical investigation has been carried out to analyze the diabatic flow distribution and velocity profile in 18 minigeometries with various aspect ratios for V-type and I-type flow configurations (for 36 cases) assuming ethanol as a working fluid. The aim of the study is to distinguish the value of the aspect ratio for which the flow in minigeometry starts to be two-dimensional (minigap). Cases with a constant Reynolds...
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Is the Keros classification alone enough to identify patients with the ‘dangerous ethmoid’? An anatomical study
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Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data
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The Role of Daylight in Forming the Traditional Space: Classification of Traditional Iranian Daylighting Elements
PublikacjaDaylight character in a space can be defined as the manner in which daylight permeates and is dispersed in that space. The architectural elements related to daylighting under investigation in this study were rooted in Iranian-Isfahani heritage, considered traditional Iranian architecture (from the 16th to early 20th century). The establishment of a classification system for daylighting systems holds significant utility. This...
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Multi-Label Classification for AIS Data Anomaly Detection Using Wavelet Transform
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Artificial Neural Networks in Classification of Steel Grades Based on Non-Destructive Tests
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A New Classification of the Morphology of Complete Ponticulus Posticus on Cone Beam Computed Tomography
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Affine continuous cellular automata solving the fixed-length density classification problem
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Expert System as a classification method for optimal Legg-Calve-Perthes Disease treatment
PublikacjaZaproponowano utworzenie systemu eksperckiego jako metody klasyfikacji w prognozowaniu dowolnej formy leczenia dzieci z chorobą Legg-Calve-Perthesa. Obecnie nie ma jednego optymalnego sposobu leczenia choroby Perhtes'a i proponowana metoda jest próbą utworzenia wymiernego i uniwersalnego narzędzia, które będzie stanowiło podstawę przy podejmowaniu decyzji o najlepszym sposobie leczenia chorego stawu biodrowego. System ekspercki,...
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Influence of accelerometer signal pre-processing and classification method on human activity recognition
PublikacjaA study of data pre-processing influence on accelerometer-based human activity recognition algorithms is presented. The frequency band used to filter-out the accelerometer signals and the number of accelerometers involved were considered in terms of their influence on the recognition accuracy. In the test four methods of classification were used: support vector machine, decision trees, neural network, k-nearest neighbor.
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Application of passive acoustic radar to automatic localization, tracking and classification of sound sources
PublikacjaA concept, practical realization and applications of the passive acoustic radar to automatic localization, tracking and classification of sound sources were presented in the paper. The device consists of a new kind of multichannel miniature sound intensity sensors and a group of digital signal processing algorithms. Contrary to active radars, it does not emit the scanning beam but after receiving surrounding sounds it provides...
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Decision classification criteria for ADT in burn diagnostics based on in-vivo animal experiments
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