Wyniki wyszukiwania dla: automatic music classification - MOST Wiedzy

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Wyniki wyszukiwania dla: automatic music classification

Wyniki wyszukiwania dla: automatic music classification

  • Automated Classifier Development Process for Recognizing Book Pages from Video Frames

    One of the latest developments made by publishing companies is introducing mixed and augmented reality to their printed media (e.g. to produce augmented books). An important computer vision problem that they are facing is classification of book pages from video frames. The problem is non-trivial, especially considering that typical training data is limited to only one digital original per book page, while the trained classifier...

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  • Collaborative approach to WordNet and Wikipedia integration

    Publikacja

    In this article we present a collaborative approach tocreating mappings between WordNet and Wikipedia. Wikipediaarticles have been first matched with WordNet synsets in anautomatic way. Then such associations have been evaluated andcomplemented in a collaborative way using a web application.We describe algorithms used for creating automatic mappingsas well as a system for their collaborative development. Theoutcome enables further...

  • AUTOMATYCZNA KLASYFIKACJA MOWY PATOLOGICZNEJ

    Publikacja

    Aplikacja przedstawiona w niniejszym rozdziale służy do automatycznego wykrywania mowy patologicznej na podstawie bazy nagrań. W pierwszej kolejności przedstawiono założenia leżące u podstaw przeprowadzonych badan wraz z wyborem bazy mowy patologicznej. Zaprezentowano również zastosowane algorytmy oraz cechy sygnału mowy, które pozwalają odróżnić mowę niezaburzoną od mowy patologicznej. Wytrenowane sieci neuronowe zostały następnie...

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  • Empirical Analysis of Forest Penalizing Attribute and Its Enhanced Variations for Android Malware Detection

    Publikacja
    • A. G. Akintola
    • A. O. Balogun
    • L. F. Capretz
    • H. A. Mojeed
    • S. Basri
    • S. A. Salihu
    • F. E. Usman-Hamza
    • P. O. Sadiku
    • G. B. Balogun
    • Z. O. Alanamu

    - Applied Sciences-Basel - Rok 2022

    As a result of the rapid advancement of mobile and internet technology, a plethora of new mobile security risks has recently emerged. Many techniques have been developed to address the risks associated with Android malware. The most extensively used method for identifying Android malware is signature-based detection. The drawback of this method, however, is that it is unable to detect unknown malware. As a consequence of this problem,...

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  • Wavelet transform-based approach to defect identification in railway carbon contact strips.

    Pantographs of electric rail vehicles are fitted with carbon contact strips, which slide along the contact wire of catenary to provide constant electrical contact. Contact strips are exposed to wear and damages. Using damaged contact strips significantly increases the risk of catenary rupture. Therefore, their technical condition has to be inspected frequently. In previous work a 3D laser scanning system was proposed for recording...

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  • Improving medical experts’ efficiency of misinformation detection: an exploratory study

    Publikacja
    • A. Nabożny
    • B. Balcerzak
    • M. Morzy
    • A. Wierzbicki
    • P. Savov
    • K. Warpechowski

    - WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS - Rok 2022

    Fighting medical disinformation in the era of the pandemic is an increasingly important problem. Today, automatic systems for assessing the credibility of medical information do not offer sufficient precision, so human supervision and the involvement of medical expert annotators are required. Our work aims to optimize the utilization of medical experts’ time. We also equip them with tools for semi-automatic initial verification...

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  • Manufacturing Data Analysis in Internet of Things/Internet of Data (IoT/IoD) Scenario

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2018

    Computer integrated manufacturing (CIM) has enormous benefits as it increases the rate of production, reduces errors and production waste, and streamlines manufacturing sub-systems. However, there are some new challenges related to CIM operating in the Internet of Things/Internet of Data (IoT/IoD) scenarios associated with Industry 4.0 and cyber-physical systems. The main challenge is to deal with the massive volume of data flowing...

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  • Concept description vectors and the 20 question game

    Publikacja

    - Rok 2005

    Knowledge of properties that are applicable to a given object is a necessary prerequisite to formulate intelligent question. Concept description vectors provide simplest representation of this knowledge, storing for each object information about the values of its properties. Experiments with automatic creation of concept description vectors from various sources, including ontologies, dictionaries, encyclopedias and unstructured...

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  • The concept of anti-collision system of autonomous surface vehicle

    Publikacja

    The use of unmanned vehicles in various fields of science and the economy is becoming more common. An extremely important aspect of creating this type of solution is to provide autonomous vehicle navigation, which does not require interference of the human factor or in which it is limited to a minimum. This article discusses the concept of autonomous anti-collision system of unmanned surface vehicle. It proposed a sensor system...

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  • Communication Model Order Reduction in Hybrid Methods Involving Generalized Impedance Matrix

    A novel strategy for the efficient analysis of frequency-domain scattering electromagnetic problems in open and closed domains is presented. A fully automatic model-order reduction technique, called the enhanced reduced-basis method, is applied to increase the efficiency of the hybrid approach, which combines the finite-element and mode-matching methods. Numerical tests show that the proposed algorithm yields reliable and highly...

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  • Automatyczne urządzenia przełączające nn - oferta firmy Siemens

    Publikacja

    - Rok 2006

    Układy samoczynnego załaczania rezerwy zasilania (SZR), okrełslane w PN-EN 60947-6-1 jako automatyczne urządzenia przełaczające (ATSE ang. Automatic Transfer Switching Equipment) są przeznaczone do zapewnienia ciągłosci zasilania odbiorców energii elektrycznej. W artykule omówiono klasyfikację ATSE, budowę blokad aparatów wykonawczych oraz zalecane czasy zadzialania ATSE. Przedstawiono automatyczne urządzenia przełaczające oferowane...

  • Automatyczne urządzenia przełączające niskiego napięcia

    Publikacja

    - Rok 2006

    Układy samoczynnego załaczania rezerwy zasilania (SZR), okrełslane w PN-EN 60947-6-1 jako automatyczne urządzenia przełaczające (ATSE ang. Automatic Transfer Switching Equipment) są przeznaczone do zapewnienia ciągłosci zasilania odbiorców energii elektrycznej. W artykule omówiono klasyfikację ATSE, budowę elektrycznych blokad aparatów wykonawczych oraz zalecane czasy zadzialania ATSE. Przedstawiono automatyczne urządzenia przełaczające...

  • Marta Kuc-Czarnecka dr

    Marta Kuc-Czarnecka jest zastępczynią kierownika Katedry Statystyki i Ekonomii na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej. Pełni również funkcję pełnomocniczki Dziekana ds. akredytacji AMBA. Jest współzałożycielką Rethinking Economics Gdańsk oraz członkinią Fundacji im. Edwarda Lipińskiego na rzecz promocji pluralizmu w naukach ekonomicznych. W latach 2018-2022 była ekspertką Europejskiej Fundacji na Rzecz Poprawy...

  • Dobrze jest... być sobą. Spotkanie z Bovską

    Wydarzenia

    21-11-2019 18:00 - 21-11-2019 20:00

    Zapraszamy na spotkanie z Bovską - wokalistką, autorką albumów Kaktus, Pysk oraz Kęsy.

  • Analiza stanu nawierzchni i klas pojazdów na podstawie parametrów ekstrahowanych z sygnału fonicznego

    Celem badań jest poszukiwanie parametrów wektora cech ekstrahowanego z sygnału fonicznego w kontekście automatycznego rozpoznawania stanu nawierzchni jezdni oraz typu pojazdów. W pierwszej kolejności przedstawiono wpływ warunków pogodowych na charakterystykę widmową sygnału fonicznego rejestrowanego przy przejeżdżających pojazdach. Następnie, dokonano parametryzacji sygnału fonicznego oraz przeprowadzano analizę korelacyjną w celu...

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  • Rafał Leszczyna dr hab. inż.

    Dr hab. inż. Rafał Leszczyna jest profesorem uczelni na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej. W lipcu 2020 r., na podstawie osiągnięcia naukowego w obszarze zarządzania cyberbezpieczeństwem infrastruktur krytycznych w sektorze elektroenergetycznym, uzyskał stopień doktora habilitowanego w dziedzinie nauk inżynieryjno-technicznych, dyscyplina informatyka techniczna i telekomunikacja. W latach 2004–2008 pracował...

  • Methodology of Conformity Testing of VoIP Connections Scenarios for SIP Protocol

    Conformity and conformity testing have always had a crucial role in telecommunications. These issues are especially important in VoIP technology with SIP protocol as there are many hardware, software and service implementations. In this paper a methodology of automatic conformity testing of VoIP connections scenarios applying to any IP network is proposed. Example implementation of the methodology as Linux shell scripts is presented....

  • Prediction of consumer electricity needs based on Internet weather forecasts

    Electrical energy is considered both as an important driver for producing and transporting goods in companies, as well as a good in itself which requires planning and management for generating and delivering it to consumers in proper time and amounts. Weather information can be considered to convey part of the data on energy delivery needs of consumers. Free meteorological data sources on the Web do not offer consistent data to...

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  • Identification of regions of interest in video for a traffic monitoring system

    Publikacja

    - Rok 2008

    A system for automatic event detection in the camera image is presented in this paper. A method of limiting a region of interest to relevant parts of the image using a set of processing procedures is proposed. Image processing includes object detection with shadow removal performed in the modified YCbCr color space instead of RGB. The proposed procedures help to reduce the complexity of image processing algorithm and result in...

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  • Small rov to detection and identification of dangerous underwater objects

    Publikacja

    - Rok 2011

    A small unmanned underwater vehicle (UUV) to inspection of an undersea space is presented in the paper. Its behavior is controlled by a trained pilot. Correct detection and identification of targets depends on vehicle'sprecise displacement along a predefined route. Nowadays, the UUVs are equipped with an automatic control system to execute some basic maneuvers without constant human interventions. Hence, in the paper, an autopilot...

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  • Detection of the Oocyte Orientation for the ICSI Method Automation

    Automation or even computer assistance of the popular infertility treatment method: ICSI (Intracytoplasmic Sperm Injection) would speed up the whole process and improve the control of the results. This paper introduces a preliminary research for automatic spermatozoon injection into the oocyte cytoplasm. Here, the method for detection a correct orientation of the polar body of the oocyte is presented. Proposed method uses deep...

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  • Searching for innovation knowledge: insight into KIBS companies

    Publikacja

    - Knowledge Management Research & Practice - Rok 2017

    The paper analyses the activity of research for “innovation knowledge”—here defined as knowledge that can lead to the introduction of service innovations—by Knowledge-Intensive Business Services (KIBS) companies. It proposes a classification of the possible search approaches adopted by those companies based on two dimensions: the pro-activity of search efforts and the source primarily used. Such classification is then discussed...

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  • Justyna Borucka dr inż. arch.

    Justyna Borucka jest adiunktem na Wydziale Architektury Politechniki Gdańskiej, koordynatorem programu Erasmus i współpracy zagranicznej, a od 2016 roku prodziekanem ds. rozwoju. Jest również członkiem Zarządu Stowarzyszenia Architektów Polskich (SARP Oddział Wybrzeże). Jej badania koncentrują się na teorii architektury i strategii odnowy miejskiej ze szczególnym wpływem interdyscyplinarnych relacji współczesnej architektury i...

  • Energy Systems Stations, W, ET, sem.7, zimowy 22/23 (PG_00042106)

    Kursy Online
    • R. Liberacki

    Internal combustion engines - principle of operation and classification. Heat balance of the engine. Uniform and combined propulsion systems.The main comonents of the propulsion system. Power plant efficiency and waste heat utilization. Cooling water system, lubricating oil system, fuel oil systeml, gaseos fuel system (LNG), compressed air system, exhaust gas system. Fittings and accessories of pipeline systems in the power plant....

  • Adrenal gland, unspecified - Male, 1 - Tissue image [7220729599721941]

    Dane Badawcze

    This is the histopathological image of ADRENAL GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

  • Adrenal gland, unspecified - Male, 1 - Tissue image [7220729599721221]

    Dane Badawcze

    This is the histopathological image of ADRENAL GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

  • MATCHED FILTER APPROACH FOR MICROSEISMIC SIGNAL PROCESSING OF REAL DATA FROM EAST POMERANIA SHALE GAS

    The microseismic monitoring is a method of monitoring of fracture propagation during hydraulic fracturing (HF)process. An array of several hundred geophones is placed on the surface to record little ground tremors induced by fracturing process. Filtration and summation of signals from geophones is essential to identify and locate fracturing events from underground. Authors propose a method of matched filtering, that is usually...

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  • Deep neural networks for data analysis

    Kursy Online
    • K. Draszawka

    The aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...

  • Adaptive filtering approach to dynamic weighing: a checkweigher case study

    Publikacja

    - Rok 2014

    Dynamic weighing, i.e., weighing of objects in motion, with out stopping them on the weighing platform, allows one to increase the rate of operation of automatic weighing systems used in industrial production processes without compromising their accuracy. The paper extends and compares two approaches to dynamic weighing, based on system identification and variable-bandwidth filtering, respectively. Experiments, carried on a conveyor...

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  • Building Knowledge for the Purpose of Lip Speech Identification

    Consecutive stages of building knowledge for automatic lip speech identification are shown in this study. The main objective is to prepare audio-visual material for phonetic analysis and transcription. First, approximately 260 sentences of natural English were prepared taking into account the frequencies of occurrence of all English phonemes. Five native speakers from different countries read the selected sentences in front of...

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  • Monitoring of volatile organic compounds (VOCs) in atmospheric air. Part II. Sample collection and preparation

    The paper reviews literature information on air sampling techniques commonly used for monitoring volatile organic compounds (VOCs) levels in atmospheric air. It describes containers for collecting samples of atmospheric air, such as vacuum canisters and bags made from synthetic materials. It discusses dynamic, passive and denudational techniques for sampling analytes from air combining isolation with preliminary enrichment, and...

  • Processing of Marine Satellite Data in WEB-BASED GIS

    GIS systems are important modern word. They allow to quickly analyse and corelate various data bound to their geographical context. The paper describes Web-base GIS with ability to integrate and analyse data from many sources such as: satellite imagery, threat simulation models, marine vessels Automatic Identification System, raster and vector topographic charts. Some details of system architecture and implementation are presented...

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  • A multisensor detector of a sleep apnea for using at home

    Diagnosis of obstructive sleep apnea usually involves polysomnographic analysis, which unfortunately requires overnight stay in a specialized clinic and is very uncomfortable for a patient. This paper describes the method and apparatus for recording a set of signals to detect sleep apnea. The device records the following signals simultaneously: three-channel ECG, respiratory functions, signals from the accelerometer, and snoring...

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  • The innovative experimental rig for wood steam drying at atmospheric pressure

    The high cost of fossil fuel and soaring consumer interest have encouraged people in the wood industry to look for faster and more energy-efficient methods to dry lumber. The air-steam mixture as medium of drying process was used in a laboratory kiln especially arranged for that reason. Experimental rig is based on automatic control system. At the time of drying measurements of the internal temperature, wood temperature, moisture...

  • Towards Emotion Acquisition in IT Usability Evaluation Context

    Publikacja

    - Rok 2015

    The paper concerns extension of IT usability studies with automatic analysis of the emotional state of a user. Affect recognition methods and emotion representation models are reviewed and evaluated for applicability in usability testing procedures. Accuracy of emotion recognition, susceptibility to disturbances, independence on human will and interference with usability testing procedures are...

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  • Intelligent turbogenerator controller based on artifical neural network

    The paper presents a desing of an intelligent controller based on neural network (ICNN). The ICNN ensures at the same time two fundamental functions : the maintaining of generator voltage at the desired value and the damping of the electromechanical oscillations. Its performance is evaluted on a single machine infinite bus power system through computer simulations. The dynamic and transient operation of the proposed controller...

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  • Utilization of the zero unitarization method for the building of a ranking for diagnostic marine engine parameters

    Publikacja

    - Combustion Engines - Rok 2017

    Changing some of the parameters of the engine structure affects the emission of harmful components in the exhaust gases This primarily concerns damage in the cargo exchange system as well as in the fuel system and engine boost system. Changes in emissions of harmful compounds are often ambiguous, depending largely on the parameters that shape the combustion process. An additional problem is that often simple but undesired interactions...

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  • Sentiment Analysis of Facebook Posts:the Uber case

    Publikacja

    - Rok 2017

    This article analyses the sentiment of opinions, i. e. its classification as phrases with a neutral, positive and negative emotional tone. Data used as a basis for the analysis were opinions expressed by Facebook users about Uber and collected in the period between July 2016 and July 2017. The primary objective of the study was to obtain information about the perceptions of Uber over thirteen consecutive months. The study confirms...

  • Application of Intuitionistic Fuzzy Sets to the assessment of technical university students

    The article proposes application of artificial intelligence methods to assess students of technical universities. The level of achieved educational goals can be assessed using measurements based on the idea of Fuzzy Intuitionistic Sets (IFS). A classification algorithm was developed and an exemplary distribution of the criteria values using IFS was presented. The application of the proposed approach in online education can enrich...

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  • Tire camber angle influence on tire-pavement noise

    Taking into account tire-pavement noise and tires classification with respect to noise emission special measurement methods are usually used. When two of them are applied (the Laboratory Drum Method (DR) and the Close-Proximity Method (CPX)) the investigator has to be sure that the position of the tire is correct. The authors of this paper thought about tire position as tire (wheel) alignment in particular tire camber angle. They...

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  • Taxonomy of Schemes for Resilient Routing

    Publikacja

    - Rok 2020

    This chapter provides a taxonomy of schemes for resilient routing followed by a discussion of their application to contemporary architectures of communication networks. In particular, a general classification of schemes for resilient routing is first presented followed by a description of the reference schemes for IP networks. The chapter in its later part focuses on the representative techniques of resilient routing for a multi-domain...

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  • Voice command recognition using hybrid genetic algorithm

    Publikacja

    Abstract: Speech recognition is a process of converting the acoustic signal into a set of words, whereas voice command recognition consists in the correct identification of voice commands, usually single words. Voice command recognition systems are widely used in the military, control systems, electronic devices, such as cellular phones, or by people with disabilities (e.g., for controlling a wheelchair or operating a computer...

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  • Introduction to Numerical Simulation

    Kursy Online
    • M. Rewieński

    Course description: This interdisciplinary course provides an introduction to computational techniques for the simulation of a broad range of engineering and physical systems.  Concepts and methods discussed are widely illustrated by applications drawn from electrical, mechanical, and chemical engineering. Topics include: mathematical formulations of simulation problems; sparse direct and iterative linear system solution techniques,...

  • Face Recognition: Shape versus Texture

    Publikacja

    - Rok 2015

    This paper describes experiments related to the application of well-known techniques of the texture feature extraction (Local Binary Patterns and Gabor filtering) to the problem of automatic face verification. Results of the tests show that simple image normalization strategy based on the eye center detection and a regular grid of fiducial points outperforms the more complicated approach, employing active models that are able to...

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  • Launch of the Immersive 3D Visualization Laboratory

    The paper presents the concept of Immersive 3D Visualization Laboratory, formed at the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology under the project Gdańsk University of Technology's Modern auditoriums. The basic unit of this laboratory will be cubic CAVE (Cave Automatic Virtual Environment) enriched with spherical walk simulator. This device will allow the user unlimited walking,...

  • Enhanced voice user interface employing spatial filtration of signals from acoustic vector sensor

    Spatial filtration of sound is introduced to enhance speech recognition accuracy in noisy conditions. An acoustic vector sensor (AVS) is employed. The signals from the AVS probe are processed in order to attenuate the surrounding noise. As a result the signal to noise ratio is increased. An experiment is featured in which speech signals are disturbed by babble noise. The signals before and after spatial filtration are processed...

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  • Study of the Operation of Synchronous Generator Voltage Regulator During the Creation of Post Blackout Start-up Path

    Publikacja

    - Rok 2015

    This paper presents the influence of automatic voltage regulator (AVR) of synchronous generator on the process of creation of post black-out start-up path. Two elements of AVR have a significant impact on this process: underexcitation limiter (UEL) and load compensation (LC). The authors present a theoretical investigation and simulation results that illustrate how the mentioned elements of AVR affect voltage levels in a power...

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  • Performance Evaluation of the Parallel Codebook Algorithm for Background Subtraction in Video Stream

    A background subtraction algorithm based on the codebook approach was implemented on a multi-core processor in a parallel form, using the OpenMP system. The aim of the experiments was to evaluate performance of the multithreaded algorithm in processing video streams recorded from monitoring cameras, depending on a number of computer cores used, method of task scheduling, image resolution and degree of image content variability....

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  • DEEP CONVOLUTIONAL NEURAL NETWORKS AS A DECISION SUPPORT TOOL IN MEDICAL PROBLEMS – MALIGNANT MELANOMA CASE STUDY

    The paper presents utilization of one of the latest tool from the group of Machine learning techniques, namely Deep Convolutional Neural Networks (CNN), in process of decision making in selected medical problems. After the survey of the most successful applications of CNN in solving medical problems, the paper focuses on the very difficult problem of automatic analyses of the skin lesions. The authors propose the CNN structure...

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  • Parametrical 3D model of an asynchronous motor - AutoCAD application.

    Publikacja

    A computer program for automatic drawing of 3D models of squirrel-cage induction motors is presented in this paper. The created model of a machine is of parametrical nature, which means that the user defines geometry of particular elements (shaft, stator core, bearing, windings etc.) on the basis dimensions and some other parameters e.g. type of bearing, kind of winding, number of slots. This program is useful for 3D modelling...