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Search results for: jel classification: l26, i21, a21, a22
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Impact of the confinement plate on the synthetic jet
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Cel i przesłanki wyceny przedsiębiorstwa
PublicationW pracy przedstawiono cel oraz przesłanki wyceny przedsiębiorstwa. Wyróżniono przesłanki wewnętrzne, zewnętrzne oraz o charakterze wewnętrzno - zewnętrznym.
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Wycena przedsiębiorstwa i jej funkcje
PublicationW pracy przedstawiono istotę wyceny wartości przedsiębiorstwa oraz wskazano jej funkcje.
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Żel i beton (Materiały kanalizacyjne)
PublicationRóżnice pomiędzy betonem a żelbetem stosowanymi w kanalizacji. Problematyczność konstrukcji żelbetowej w sytuacji niewielkich obciążeń oraz atmosfery korozyjnej.
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Analogi, jej analogi i koniugaty
PublicationAdenozyna jest endogennym nukleozydem purynowym odgrywającym ważną rolę w wielu procesach biochemicznych organizmu. Swoje działanie na wiele układów, takich jak sercowo-naczyniowy, moczowo-płciowy, immunologiczny, nerwowy czy oddechowy, wywiera poprzez wiązanie się z receptorami dla adenozyny: A1, A2A, A2B i A3. Adenozyna znalazła zastosowanie jako lek przeciwarytmiczny w napadowym częstoskurczu nadkomorowym, jednak z powodu jej...
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Architektura stoczni i jej przemiany
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Otrzymywanie nanokrzemionki metodą zol-żel
PublicationTlenek krzemu to związek związek chemiczny znany pod krzemionka, o wzorze empirycznym SiO2.
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Cel i funkcje zamówień publicznych
PublicationSystem zamówień publicznych, obok zagadnień prawnych, obejmuje między innymi również zagadnienia organizacyjne, czy też ekonomiczne. Dlatego elementy systemowe należy rozpatrywać w bardzo szerokim ujęciu i nie można zawężać ich tylko do zagadnień prawnych. Cele i funkcje zamówień przeplatają się nawzajem i tym samym są od siebie niezależne. Nie można mówić o celach bez wyraźnego oparcia w funkcjach zamówień publicznych i odwrotnie....
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Telomeraza jako cel terapii przeciwnowotworowej
PublicationTelomeraza jako cel terapii przeciwnowotworowej
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ZAKRES STOSOWANIA DECYZJI TSI PRM (Decyzja Komisji WE nr 2008/164/WE z dnia 21 grudnia 2007r.)W PROJEKTOWANIU POLSKICH DWORCÓW
PublicationModernizacja każdego dworca musi być realizowana zgodnie z polskimi przepisami budowlanymi, a dodatkowo powinna być zgodna z przepisami Decyzji TSI PRM, o ile te zostały wprowadzone do polskiego prawa, a nie są sprzeczne z polskimi przepisami budowlanymi lub są przepisem szczególnym tych przepisów. Do dziś w Rozporządzeniu Ministra Infrastruktury z dn. 12.04.2002r. w sprawie warunków technicznych, jakim powinny odpowiadać budynki...
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Classification of Thyroid Tumors Based on Mass Spectrometry Imaging of Tissue Microarrays; a Single-Pixel Approach
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Two-center radial basis function network for classification of soft faults in electronic analog circuits
PublicationW pracy zaproponowano specjalizowaną sieć neuronową z dwucentrowymi radialnymi funkcjami bazowymi (TCRB) neuronów w warstwie ukrytej,przeznaczoną do diagnostyki uszkodzeń parametrycznych układów analogowych. Zastosowanie funkcji TCRB pozwala na znaczne zmniejszenie liczby neuronów w warstwie ukrytej, lepsze dopasowanie do słownika uszkodzeń oraz poprawę dokładności klasyfikacji, w porównaniu z dotychczas stosowaną siecią z jednocentrowymi...
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Attention-Based Deep Learning System for Classification of Breast Lesions—Multimodal, Weakly Supervised Approach
PublicationBreast cancer is the most frequent female cancer, with a considerable disease burden and high mortality. Early diagnosis with screening mammography might be facilitated by automated systems supported by deep learning artificial intelligence. We propose a model based on a weakly supervised Clustering-constrained Attention Multiple Instance Learning (CLAM) classifier able to train under data scarcity effectively. We used a private...
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On the Role of Polarimetric Decomposition and Speckle Filtering Methods for C-Band SAR Wetland Classification Purposes
PublicationPrevious wetlands studies have thoroughly verified the usefulness of data from synthetic aperture radar (SAR) sensors in various acquisition modes. However, the effect of the processing parameters in wetland classification remains poorly explored. In this study, we investigated the influence of speckle filters and decomposition methods with different combinations of filter and decomposition windows sizes on classification accuracy....
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A multi-label text message classification method designed for applications in call/contact centre systems
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Detection, classification and localization of acoustic events in the presence of background noise for acoustic surveillance of hazardous situations
PublicationEvaluation of sound event detection, classification and localization of hazardous acoustic events in the presence of background noise of different types and changing intensities is presented. The methods for discerning between the events being in focus and the acoustic background are introduced. The classifier, based on a Support Vector Machine algorithm, is described. The set of features and samples used for the training of the...
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Flood Classification in a Natural Wetland for Early Spring Conditions Using Various Polarimetric SAR Methods
PublicationAbstract--- One of the major limitations of remote sensing flood detection is the presence of vegetation. Our study focuses on a flood classification using Radarsat-2 Quad-Pol data in a natural floodplain during leafless, dry vegetation (early spring) state. We conducted a supervised classification of a data set composed of nine polarimetric decompositions and Shannon entropy followed by the predictors' importance estimation to...
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A novel approach exploiting properties of convolutional neural networks for vessel movement anomaly detection and classification
PublicationThe article concerns the automation of vessel movement anomaly detection for maritime and coastal traffic safety services. Deep Learning techniques, specifically Convolutional Neural Networks (CNNs), were used to solve this problem. Three variants of the datasets, containing samples of vessel traffic routes in relation to the prohibited area in the form of a grayscale image, were generated. 1458 convolutional neural networks with...
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Classification of objects in the LIDAR point clouds using Deep Neural Networks based on the PointNet model
PublicationThis work attempts to meet the challenges associated with the classification of LIDAR point clouds by means of deep learning. In addition to achieving high accuracy, the designed system should allow the classification of point clouds covering an area of several dozen square kilometers within a reasonable time interval. Therefore, it must be characterized by fast processing and efficient use of memory. Thus, the most popular approaches...
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Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance
PublicationIdentification of active electrodes that record task-relevant neurophysiological activity is needed for clinical and industrial applications as well as for investigating brain functions. We developed an unsupervised, fully automated approach to classify active electrodes showing event-related intracranial EEG (iEEG) responses from 115 patients performing a free recall verbal memory task. Our approach employed new interpretable...
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Machine Learning Applied to Aspirated and Non-Aspirated Allophone Classification—An Approach Based on Audio "Fingerprinting"
PublicationThe purpose of this study is to involve both Convolutional Neural Networks and a typical learning algorithm in the allophone classification process. A list of words including aspirated and non-aspirated allophones pronounced by native and non-native English speakers is recorded and then edited and analyzed. Allophones extracted from English speakers’ recordings are presented in the form of two-dimensional spectrogram images and...
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INFLUENCE OF DATA NORMALIZATION ON THE EFFECTIVENESS OF NEURAL NETWORKS APPLIED TO CLASSIFICATION OF PAVEMENT CONDITIONS – CASE STUDY
PublicationIn recent years automatic classification employing machine learning seems to be in high demand for tele-informatic-based solutions. An example of such solutions are intelligent transportation systems (ITS), in which various factors are taken into account. The subject of the study presented is the impact of data pre-processing and normalization on the accuracy and training effectiveness of artificial neural networks in the case...
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Video Classification Technology in a Knowledge-Vision-Integration Platform for Personal Protective Equipment Detection: An Evaluation
PublicationThis work is part of an effort for the development of a Knowledge-Vision Integration Platform for Hazard Control (KVIP-HC) in industrial workplaces, adaptable to a wide range of industrial environments. This paper focuses on hazards resulted from the non-use of personal protective equipment (PPE), and examines a few supervised learning techniques to compose the proposed system for the purpose of recognition of three protective...
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Real and imaginary motion classification based on rough set analysis of EEG signals for multimedia applications
PublicationRough set-based approach to the classification of EEG signals of real and imaginary motion is presented. The pre-processing and signal parametrization procedures are described, the rough set theory is briefly introduced, and several classification scenarios and parameters selection methods are proposed. Classification results are provided and discussed with their potential utilization for multimedia applications controlled by the...
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Działanie wolnoobrotowych silników hydraulicznych w warunkach szoku termi- cznego.**2002, 252 s. 228 rys. 30 tabl.bibliogr. 121 poz. maszyn. Rozprawa doktorska /21.06.2002/. PG, Wydz. Mechaniczny. Promotor: dr hab. inż. A. Balawender, prof. nadzw. PG.
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Gdansk Bay sea bed sounding and classification of its results
PublicationThe main goal of this paper is to describe the results of sounding the Gdansk Bay sea bed by using a SES-2000 Standard parametric sub-bottom profiler. Quality of data obtained during trials depends inter alia on a proper location of transducer array to reduce influence of pitch, roll and heave motions as well as ship self noise (resulting from bubbles due to propeller and flow around hull, vibration generated by main engine and...
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B26 Differential mitochondrial DNA levels in HD patients depending on the cell type
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Nowa Sól 2017 - video data - pedestrian, bicycles, vehicles
Open Research DataNowa Sól 2017 - video data - pedestrian, bicycles, vehicles
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Novel N-(aryl/heteroaryl)-2-chlorobenzenesulfonamide derivatives: synthesis and anticancer activity evaluation
PublicationA new series of N-(aryl/heteroaryl)-2-chlorobenzenesulfonamide derivatives 4-21 have been synthesized, and evaluated at the National Cancer Institute (USA) for their in vitro activities against a panel of 60 different human cancer cell lines. Among them, compounds 16, 20 and 21 exhibited remarkable cytotoxic activity against numerous human cancer cell lines. We found that sulfonamide derivative 21 appeared to be more selective...
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Synthesis of adenosine analogues
PublicationAdenozyna jest endogennym nukleozydem purynowym, który nie tylko stanowi prekursor nukleotydów adeninowych, ale jest także neuromodulatorem odgrywającym istotną rolę w funkcjonowaniu wielu komórek. Swoje działanie ujawnia poprzez wiązanie z receptorami dla adenozyny, których zidentyfikowano do tej pory cztery podtypy: A1, A2A, A2B oraz A3. Należą one do rodziny receptorów sprzężonych z białkami G. Adenozyna znalazła zastosowanie...
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Zastosowanie numerycznego modelu obiektu do oceny zgodności realizacji pro-jektu budowli gabionowej. W: Współczesna geodezja w rozwoju nauk techni- cznych, przyrodnicznych i ekonomicznych. Warszawa::SGGH**2003 s. 315-321, 3 rys. bibliogr. 6 poz.
PublicationW pracy przedstawiono sposoby badania oceny zgodności realizacji projektu budowli gabionowej. Zastosowano numeryczny model obiektu (NMO) i wyniki geodezyjnej inwentaryzacji powykonawczej (GIP) budowli gabionowej. Opracowano etapy badania oceny zgodności realizacji projektu. Opisano wewnętrzne i zewnętrzne błędy realizacji projektu. Na przykładzie muru oporowego wykonanego z gabionów dokonano wizualizacji wykrytych błędów realizacji...
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Projektowanie profili maszyn wirnikowych przy zastosowaniu kryterium mini- mum dyssypacji.**2002, 122 s. 126 rys. 2 tab. bibliogr. 35 poz. maszyn. Rozprawa doktorska /2002.06.25/. PG, Wydz. Mechaniczny. Promotor: Prof. dr hab. inż. R. Puzyrewski.
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Designate of CTOD for WM and HAZ, report no: WOiO/II/122/2014
PublicationTypical (normative) testing of materials and/or welded joints do not answer on all questions about material or welded joint properties. In ship building and off-shore sectors, many strucures requires materials and joint with higher than typical fatigue resistance. Imact tests, which are carried out during welding technology qualification, gives answer about ductility, CTOD tests results about material or welded joint ability to...
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Quality of groundwater contaminated by leachates from seven Polish landfills - chemical and ecotoxicological classifications
PublicationArtykuł prezentuje rezultaty badań toksyczności ostrej i chronicznej próbek wód podziemnych pobranych spod składowisk odpadów komunalnych. Uzyskane wyniki porównano z wynikami badań parametrów fizykochemicznych. Jednocześnie dokonano klasyfikacji jakości badanych próbek w oparciu o zalecenia Komisji Helsińskiej, system oparty na wyznaczaniu parametru pT i kryteria ustanowione przez Persoone'a i współpracowników.
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Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models
PublicationBreast cancer is the most frequent female cancer. Its early diagnosis increases the chances of a complete cure for the patient. Suitably designed deep learning algorithms can be an excellent tool for quick screening analysis and support radiologists and oncologists in diagnosing breast cancer.The design of a deep learning-based system for automated breast cancer diagnosis is not easy due to the lack of annotated data, especially...
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Classification of Covid-19 using Differential Evolution Chaotic Whale Optimization based Convolutional Neural Network
PublicationCOVID-19, also known as the Coronavirus disease-2019, is an transferrable disease that spreads rapidly, affecting countless individuals and leading to fatalities in this worldwide pandemic. The precise and swift detection of COVID-19 plays a crucial role in managing the pandemic's dissemination. Additionally, it is necessary to recognize COVID-19 quickly and accurately by investigating chest x-ray images. This paper proposed a...
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Molecular profiles of thyroid cancer subtypes: Classification based on features of tissue revealed by mass spectrometry imaging
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Challenges of Comparing Marine Microbiome Community Composition Data Provided by Different Commercial Laboratories and Classification Databases
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Convolutional Neural Networks for C. Elegans Muscle Age Classification Using Only Self-Learned Features
PublicationNematodes Caenorhabditis elegans (C. elegans) have been used as model organisms in a wide variety of biological studies, especially those intended to obtain a better understanding of aging and age-associated diseases. This paper focuses on automating the analysis of C. elegans imagery to classify the muscle age of nematodes based on the known and well established IICBU dataset. Unlike many modern classification methods, the proposed...
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Food Classification from Images Using a Neural Network Based Approach with NVIDIA Volta and Pascal GPUs
PublicationIn the paper we investigate the problem of food classification from images, for the Food-101 dataset extended with 31 additional food classes from Polish cuisine. We adopted transfer learning and firstly measured training times for models such as MobileNet, MobileNetV2, ResNet50, ResNet50V2, ResNet101, ResNet101V2, InceptionV3, InceptionResNetV2, Xception, NasNetMobile and DenseNet, for systems with NVIDIA Tesla V100 (Volta) and...
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Rotor broken bar diagnostics in induction motor drive using Wavelet packet transform and ANFIS classification
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Klasyfikacja osadów ściekowych na podstawie analizy elementarnej = sewage sludge classification based on elementary analysis
PublicationPrzedmiotem pracy jest analiza osadów ściekowych z oczyszczalni ścieków ze Swarzewa oraz Dębogórza. Analizy elementarne osadów na rożnym etapie przeróbki pozwoliły na znalezienie ich obrazu w systematyce Kempy, Van Krevelena oraz Jurkiewicza. Osady ściekowe charakteryzowane są prze szereg parametrów fizycznych, chemicznych i biologicznych. E. Kempa opracował podstawy systematyki osadów w oparciu o systematykę Van Krevelena oraz...
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Evaluation of sound event detection, classification and localization in the presence of background noise for acoustic surveillance of hazardous situations
PublicationAn evaluation of the sound event detection, classification and localization of hazardous acoustic events in the presence of background noise of different types and changing intensities is presented. The methods for separating foreground events from the acoustic background are introduced. The classifier, based on a Support Vector Machine algorithm, is described. The set of features and samples used for the training of the classifier...
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Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm
PublicationSatellite image classification is widely used in various real-time applications, such as the military, geospatial surveys, surveillance and environmental monitoring. Therefore, the effective classification of satellite images is required to improve classification accuracy. In this paper, the combination of Hierarchical Framework and Ensemble Learning (HFEL) and optimal feature selection is proposed for the precise identification...
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A Framework of A Ship Domain-Based Near-Miss Detection Method Using Mamdani Neuro-Fuzzy Classification
PublicationSafety analysis of navigation over a given area may cover application of various risk measures for ship collisions. One of them is percentage of the so called near- miss situations (potential collision situations). In this article a method of automatic detection of such situations based on the data from Automatic Identification System (AIS), is proposed. The method utilizes input parameters such as: collision risk measure based...
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Real-Time Facial Features Detection from Low Resolution Thermal Images with Deep Classification Models
PublicationDeep networks have already shown a spectacular success for object classification and detection for various applications from everyday use cases to advanced medical problems. The main advantage of the classification models over the detection models is less time and effort needed for dataset preparation, because classification networks do not require bounding box annotations, but labels at the image level only. Yet, after passing...
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Authentication of whisky due to its botanical origin and way of production by instrumental analysis and multivariate classification methods
PublicationHeadspacemass-spectrometry (HS-MS), mid infrared (MIR) and UV–vis spectroscopywere used to authenticate whisky samples from different origins and ways of production ((Irish, Spanish, Bourbon, TennesseeWhisky and Scotch). The collected spectra were processed with partial least-squares discriminant analysis (PLS-DA) to build the classification models. In all cases the five groups ofwhiskieswere distinguished, but the best resultswere...
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Bożena Kostek prof. dr hab. inż.
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Impact of the Confinement Plate on the Velocity of Synthetic Jet
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Synthetic jet actuator with two opposite diaphragms
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