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Wyniki wyszukiwania dla: POSE CLASSIFICATION
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development of an open source software to transform acoustic data for classification of benthic habitat
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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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Leveraging Training Strategies of Artificial Neural Network for Classification of Multiday Electromyography Signals
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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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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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Combined method of multibeam sonar signal processing and image analysis for seafloor classification
PublikacjaThe combined approach to seafloor characterisation was investigated. It relies on calculation of several descriptors (parameters) related to seabed type using three types of multibeam sonar data obtained during seafloor sensing: 1) the grey-level sonar images (echograms) of seabed, 2) the 3D model of the seabed surface which consists of bathymetric data, 3) the set of time domain bottom echo envelopes received in the consecutive...
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A new approach for an automatic assessment of a neurological condition employing hand gesture classification
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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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Evaluation of Machine Learning Methods for the Experimental Classification and Clustering of Higher Education Institutions
PublikacjaHigher education institutions have a big impact on the future of skills supplied on the labour market. It means that depending on the changes in labour market, higher education institutions are making changes to fields of study or adding new ones to fulfil the demand on labour market. The significant changes on labour market caused by digital transformation, resulted in new jobs and new skills. Because of the necessity of computer...
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Segmentation-Based BI-RADS Ensemble Classification of Breast Tumours in Ultrasound Images
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A New Classification of the Morphology of Complete Ponticulus Posticus on Cone Beam Computed Tomography
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Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data
PublikacjaThe field of cancer diagnostics has been revolutionized by liquid biopsies, which offer a bridge between laboratory research and clinical settings. These tests are less invasive than traditional biopsies and more convenient than routine imaging methods. Liquid biopsies allow studying of tumor-derived markers in bodily fluids, enabling the development of more precise cancer diagnostic tests for screening, disease monitoring, and...
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Automated hearing loss type classification based on pure tone audiometry data
PublikacjaHearing problems are commonly diagnosed with the use of tonal audiometry, which measures a patient’s hearing threshold in both air and bone conduction at various frequencies. Results of audiometry tests, usually represented graphically in the form of an audiogram, need to be interpreted by a professional audiologist in order to determine the exact type of hearing loss and administer proper treatment. However, the small number of...
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Segmentation-Based BI-RADS ensemble classification of breast tumours in ultrasound images
PublikacjaBackground: The development of computer-aided diagnosis systems in breast cancer imaging is exponential. Since 2016, 81 papers have described the automated segmentation of breast lesions in ultrasound images using arti- ficial intelligence. However, only two papers have dealt with complex BI-RADS classifications. Purpose: This study addresses the automatic classification of breast lesions into binary classes (benign vs. ma- lignant)...
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Musical Instrument Classification and Duet Analysis Employing Music Information Retrieval Techniques.
PublikacjaArtykuł przedstawia w sposób przeglądowy prace Katedry Systemów Multimedialnych Politechniki Gdańskiej związane z wyszukiwaniem informacji muzycznej, a w szczególności z klasyfikacją dźwięków instrumentów muzycznych. W opisywanych eksperymentach wykorzystano sztuczne sieci neuronowe.
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Post-peak behaviour of CFST columns
PublikacjaArtykuł dotyczy zachowania pokrytycznego słupów CFST. Parametrami zmiennymi w badaniach są: wysokość słupów, grubość stalowego płaszcza, wytrzymałość betonu i stali, przyczepność między stalowym płaszczem a betonowym rdzeniem oraz sposób przykładania obciążenia. W artykule dokonano analizy wpływu tych parametrów na zachowanie pokrytyczne badanych słupów.
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Bioelectronic nose: Current status and perspectives
PublikacjaA characteristic feature of human and animal organs of smell is the ability to identify hundreds of thousands of odours. It is accompanied by particular smell sensations, which are a basic source of information about odour mixture. The main structural elements of biological smell systems are the olfactory receptors. Small differences in a structure of odorous molecules (odorants) can lead to significant change of odour, which is...
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Pole pracy układu napędu hydrostatycznego
PublikacjaPrzedstawiono pole pracy układu napędu hydrostatycznego. Uzasadniono podział parametrów pracy silnika hydraulicznego i pompy na parametry niezależne i zależne od pracy tych maszyn wyporowych i układu z nich utworzonego. Zaproponowano podjęcie tematu badawczego umożliwiającego opracowanie metody wyznaczania charakterystyk energetycznych pomp i silników hydraulicznych obrotowych oraz zmodyfikowanych metod wyznaczania charakterystyk...
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Post-harvest Losses of Agricultural Produce
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Measurement platform for training of electronic nose
PublikacjaW pracy zaprezentowano platformę do badania elektronicznego nosa. Zaproponowane rozwiązanie umożliwia trening elektronicznego nosa oraz pomiar charakterystyk czujników gazów.
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Comparison of pathological staging and grading of urothelial bladder carcinoma in post-transurethral resection and post-radical cystectomy specimens
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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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Clasification of drinking water samples using the Chernoff's faces visualization approach
PublikacjaOpracowanie przedstawia wyniki zastosowania wizualizacji metodą twarzy Chernoffa w klasyfikacji obszarowych zmian jakości wody pitnej, na podstawie wyników oznaczeń chloro- i bromopochodnych produktów dezynfekcji wody w 12 dzielnicach Gdańska w okresie 1993-2000.
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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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Analyzing the Impact of Simulated Multispectral Images on Water Classification Accuracy by Means of Spectral Characteristics
PublikacjaRemote sensing is widely applied in examining the parameters of the state and quality of water. Spectral characteristics of water are strictly connected with the dispersion of electromagnetic radiation by suspended matter and the absorp-tion of radiation by water and chlorophyll a and b.Multispectral sensor ALI has bands within the ranges of electromagnetic radia-tion: blue and infrared, absent in sensors such as Landsat, SPOT,...
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Systematic approach to binary classification of images in video streams using shifting time windows
Publikacjain the paper, after pointing out of realistic recordings and classifications of their frames, we propose a new shifting time window approach for improving binary classifications. We consider image classification in tewo steps. in the first one the well known binary classification algorithms are used for each image separately. In the second step the results of the previous step mare analysed in relatively short sequences of consecutive...
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Bimodal classification of English allophones employing acoustic speech signal and facial motion capture
PublikacjaA method for automatic transcription of English speech into International Phonetic Alphabet (IPA) system is developed and studied. The principal objective of the study is to evaluate to what extent the visual data related to lip reading can enhance recognition accuracy of the transcription of English consonantal and vocalic allophones. To this end, motion capture markers were placed on the faces of seven speakers to obtain lip...
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Market Structure and Market Power in Selected Sectors of The Polish Economy Based on COICOP Classification
PublikacjaThis paper present new and simple measures of market structure and market power. Based on the classical models of market structures, where a given structure is determined by the number of enterprises, indexes of degree of monopoly have been estimated, representing an average number of entities per branch. Additionally, market power indexes have been determined as an average revenue per an enterprise in a given branch. This approach...
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Study of Multi-Class Classification Algorithms’ Performance on Highly Imbalanced Network Intrusion Datasets
PublikacjaThis paper is devoted to the problem of class imbalance in machine learning, focusing on the intrusion detection of rare classes in computer networks. The problem of class imbalance occurs when one class heavily outnumbers examples from the other classes. In this paper, we are particularly interested in classifiers, as pattern recognition and anomaly detection could be solved as a classification problem. As still a major part of...
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Brief Literature Review and Classification System of Reliability Methods for Evaluating the Stability of Earth Slopes
PublikacjaThe issue of slope stability is one of the most important and yet most difficult geotechnical problems. Assessing slope stability is particularly difficult because of the many uncertainties involved in the process. To take these uncertainties into account, probabilistic methods are used, and the reliability approach is adopted. There are many methods for reliability assessment of earth slope stability. However, there is no system...
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Surface water quality assessment by the use of combination of multivariate statistical classification and expert information
PublikacjaThe present study deals with the assessment of surface water quality from an industrial-urban region located in northern Poland near to the city of Gdansk. Concentrations of thirteen chemicals includingtotal polycyclic aromatic hydrocarbons (PAHs), halogenated volatile organic compounds (HVOCs) and major ions in the samples collected at five sampling points during six campaigns were used as variablesthroughout the study. The originality...
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The Effectiveness of Using a Pretrained Deep Learning Neural Networks for Object Classification in Underwater Video
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A Study on Influence of Normalization Methods on Music Genre Classification Results Employing kNN Algorithms
PublikacjaThis paper presents a comparison of different normalization methods applied to the set of feature vectors of music pieces. Test results show the influence of min-nlax and Zero-Mean normalization methods, employing different distance functions (Euclidean, Manhattan, Chebyshev, Minkowski) as a pre-processing for genre classification, on k-Nearest Neighbor (kNN) algorithm classification results.
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Problem of soil science based classification of land in the context of updating land and building records
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Clinical characteristics of children with MIS-C fulfilling classification criteria for macrophage activation syndrome
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MPEG-7-based low level descriptor effectiveness in the automatic musical sound classification.
PublikacjaCelem referatu jest określenie, które z parametrów opisowych MPEG-7 są najbardziej przydatne w klasyfikacji dźwięków instrumentów muzycznych. Określana jest wysokość dźwięku a następnie wyznaczane są wartości parametrów zawartych w standardzie MPEG-7. Otrzymany wektor parametrów poddawany jest analizie statystycznej w celu wyeliminowania danych nadmiarowych. Do celów automatycznej klasyfikacji i testów zaprojektowano dwa systemy...
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The present state of requirements of international association of classification societies (IACS) for wrought aluminium alloys
PublikacjaW referacie przedstawiono aktualną sytuację w zakresie stopów aluminium z serii 5xxx i 6xxx do przeróbki plastycznej, ze szczególnym uwzględnieniem zmian w tym zakresie zapoczątkowanych przez unifikację wymagań w dokumentach nr 25 i 26 opublikowanychostatnio przez International Association of Classification Societies (IACS). Jednym z najważniejszych punktów w tych dokumentach jest wymaganie odnośnie przeprowadzania próby odporności...
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TH-D-BRB-06: Assessment of Proton Beam In-Vivo Dose Verification by Directly Comparing Doses Measured in Tissue-Equivalent Polymer Gels to Proton-Activated Positron-Emission Distributions in the Gels Post Irradiation
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On instabilities and post-buckling of piezomagnetic and flexomagnetic nanostructures
PublikacjaWe focus on the mechanical strength of piezomagnetic beam-like nanosize sensors during post-buckling. An effective flexomagnetic property is also taken into account. The modelled sensor is selected to be a Euler-Bernoulli type beam. Long-range interactions between atoms result in a mathematical model based on the nonlocal strain gradient elasticity approach (NSGT). Due to possible large deformations within a post-buckling phenomenon,...
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Application of ionic liquids in electronic nose instruments
PublikacjaAmong many applications in different fields of science and technology the ionic liquids (ILs) are also utilised in chemical sensors yielding improvement of their operation parameters (Buzzeo, 2004; Wei and Ivaska, 2008; Silvester, 2011; Gebicki et al., 2013). Some of these chemical sensors are the components of the devices, which resemble human sense of smell as far as their operation is concerned. These devices are named electronic...
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Shaping the spatial structures of post-socialist cities
PublikacjaThis paper deals with issues and problems associated with transformation of spatial structures of post-socialist cities. The special attention is paid to the cases of Polish cities and towns and the analysis of their evolution – from the “post-communist structures” to the “cities in the age of globalization”. In the light of this the factors influencing the spatial transformation of these are analyzed. The paper is concluded with...
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The Efficiency of Post‐Communist Countries’ Health Systems
PublikacjaHealth‐care costs are a major financial burden for the transition economies, which have experienced rapidly increasing demand for health‐care services. The former communist countries of the Central and Eastern Europe and Central Asia needed to reform the financing of their health‐care systems and make efforts to strengthen the role of primary care while limiting the role of hospital care. The growing health needs and, consequently,...
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The moonuments of gdynia post-war construction pace
PublikacjaThe impresive pace of building objects realisation in the 1950s and 1960s was a continuation of the traditional gdynia building pace of the pre-war period. A particular attention and admiration must the reserved for the use at almost every construction site in Gdynia of a considerable quantify of prototypical meterial/construction solutions implemented above all in order to simplify technology and accelerate the pace of building...
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An electronic nose for quantitative determination of gas concentrations
PublikacjaThe practical application of human nose for fragrance recognition is severely limited by the fact that our sense of smell is subjective and gets tired easily. Consequen tly, there is considerable need for an instrument that can be a substitution of the human sense of smell. Electronic nose devices from the mid 1980s are used in growing number of applications. They comprise an array of several electrochemical gas sensors...
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Inspirations Of Pope Francis’ Concept Of Integral Ecology
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Zero-Pole Space Mapping for CAD of Filters
PublikacjaIn this paper, we propose a new space-mapping technique tailored to the CAD of microwave filters. The goal of space mapping is to achieve a satisfactory design with the minimal number of fine model evaluations. In our approach, the filter is represented by a rational function. To quickly align the coarse and fine models, and to speed up the direct optimization of the coarse model, we propose matching the zeros and poles of a rational...