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Wyniki wyszukiwania dla: ARTIFCIAL INTELLIGENCE
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International Journal of Intelligent Unmanned Systems
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Intelligent Systems in Accounting Finance & Management
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International Journal of Intelligent Computing and Cybernetics
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ACM Transactions on Intelligent Systems and Technology
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International Journal of Intelligent Engineering Informatics
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ACM Transactions on Interactive Intelligent Systems
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IEEE Intelligent Transportation Systems Magazine
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International Journal of Intelligent Control and Systems
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International Journal of Intelligent Robotics and Applications
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International Journal of Intelligent Information Technologies
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International Journal of Intelligent Systems and Applications
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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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International Journal of Intelligent Engineering and Systems
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International Journal of Advances in Intelligent Informatics
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Chinese Journal of Intelligent Science and Technology
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JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
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Intelligent and active furcellaran-gelatin films containing green or pu-erh tea extracts: Characterization, antioxidant and antimicrobial potential
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Signal Receiving and Processing Platform of the Experimental Passive Radar for Intelligent Surveillance System Using Software Defined Radio Approach
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Unlocking creativity with new technologies
PublikacjaArtificial intelligence, augmented and virtual reality, Internet of Things and digital twins are just a few concepts related to the fourth industrial revolution that is happening right before our eyes. The key question asked by managers in the aerosol sector recently is: what does all this new technology mean to me?
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International Symposium on Artificial Intelligence and Mathematics
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International Conference on Artificial Intelligence and Statistics
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SGAI International Conference on Artificial Intelligence
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International Conference on Artificial Intelligence and Law
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International Conference on Artificial Intelligence in Education
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International Joint Conference on Artificial Intelligence
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Logics in Artificial Intelligence, European Conference
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International Conference on Tools with Artificial Intelligence
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International Workshop on Artificial Intelligence and Statistics
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Australian Joint Conference on Artificial Intelligence
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International Conference on Agents and Artificial Intelligence
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Australasian Joint Conference on Artificial Intelligence
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Artificial neural networks as a tool for selecting the parameters of prototypical under sleeper pads produced from recycled rubber granulate
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Prediction of metal deformation due to line heating; an alternative method of mechanical bending, based on artificial neural network approach
PublikacjaLine heating is one of the alternative methods of forming metals and this kind of forming uses the heating torch as a source of heat input. During the process, many parameters are considered like the size of the substrate, thickness, cooling method, source power intensity, the travel speed of the power source, the sequence of heating, and so on. It is important to analyze the factors affecting the...
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The use of fast molecular descriptors and artificial neural networks approach in organochlorine compounds electron ionization mass spectra classification
PublikacjaDeveloping of theoretical tools can be very helpful for supporting new pollutant detection. Nowadays, a combination of mass spectrometry and chromatographic techniques are the most basic environmental monitoring methods. In this paper, two organochlorine compound mass spectra classification systems were proposed. The classification models were developed within the framework of artificial neural networks (ANNs) and fast 1D and...
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Artificial Neural Networks as an architectural design tool- generating new detail forms based on the Roman Corinthian order capital
PublikacjaThe following paper presents the results of the research in the field of the machine learning, investigating the scope of application of the artificial neural networks algorithms as a tool in architectural design. The computational experiment was held using the backward propagation of errors method of training the artificial neural network, which was trained based on the geometry of the details of the Roman Corinthian order capital....
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A review on application of artificial neural network (ANN) for performance and emission characteristics of diesel engine fueled with biodiesel-based fuels
PublikacjaBiodiesel has been emerging as a potential and promising biofuel for the strategy of reducing toxic emissions and improving engine performance. Computational methods aiming to offer numerical solutions were inevitable as a study methodology which was sometimes considered the only practical method. Artificial neural networks (ANN) were data-processing systems, which were used to tackle many issues in engineering and science, especially...
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Impact of AI-Based Tools and Urban Big Data Analytics on the Design and Planning of Cities
PublikacjaWide access to large volumes of urban big data and artificial intelligence (AI)-based tools allow performing new analyses that were previously impossible due to the lack of data or their high aggregation. This paper aims to assess the possibilities of the use of urban big data analytics based on AI-related tools to support the design and planning of cities. To this end, the author introduces a conceptual framework to assess the...
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Oleksandr Melnychenko dr hab.
OsobyOleksandr Melnychenko pracuje na stanowisku profesora w grupie pracowników naukowo-dydaktycznych Katedry Finansów na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej; jest tłumaczem przysięgłym języka ukraińskiego; przedsiębiorcą z wieloletnim doświadczeniem prowadzenia własnej działalności i zarządzania finansami firm; ma doświadczenie pracy w banku komercyjnym na stanowisku zajmującym się współpracą banku z systemami płatniczymi,...
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Tribologia biołożysk i inteligentnych bioreaktorów problemem grantu europejskiego = Tribology of biobearings and intelligent bioreactors as the main problem of euro-project
PublikacjaPraca przedstawia kluczowe problemy związane z organizacją współpracy z uczelniami niemieckimi i badaniami naukowym przeprowadzanymi w zakresie biomechaniki i biotribologii w ramach grantu europejskiego MTK-CT-2004/2008-517226, którego koordynatorem na Wydziale Oceanotechniki i Okrętownictwa Politechnice Gdańskiej jest prof. Krzysztof Wierzcholski
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Remote Sensing in Vessel Detection and Navigation
PublikacjaThe Special Issue (SI) “Remote Sensing in Vessel Detection and Navigation” highlighted a variety of topics related to remote sensing with navigational sensors. The sequence of articles included in this Special Issue is in line with the latest scientific trends. The latest developments in science, including artificial intelligence, were used. The 15 papers (from 23 submitted) were published.
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Journal of Ambient Intelligence and Humanized Computing
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Przegląd metod szybkiego prototypowania algorytmów uczenia maszynowego w FPGA
PublikacjaW artykule opisano możliwe do wykorzystania otwarte narzędzia wspomagające szybkie prototypowanie algorytmów uczenia maszynowego (ML) i sztucznej inteligencji (AI) przy użyciu współczesnych platform FPGA. Przedstawiono przykład szybkiej ścieżki przy realizacji toru wideo wraz z implementacją przykładowego algorytmu prze-twarzania w trybie na żywo.
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Artificial neural network model of hardness, porosity and cavitation erosion wear of APS deposited Al2O3 -13 wt% TiO2 coatings
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Dynamic electrochemical impedance spectroscopy and polarization studies to evaluate the inhibition effect of benzotriazole on copper-manganese-aluminium alloy in artificial seawater
PublikacjaPrzeprowadzono badania wpływu benzotriazolu (BTA) na korozję nowego typ mosiądzu (CMA) w środowisku syntetycznej wody morskiej przy użyciu dynamicznej elektrochemicznej spektroskopii impedancyjnej (DEIS), techniki polaryzacji rezystancyjnej i ekstrapolacji krzywych Tafela. Wyniki pomiarowe otrzymane przy użyciu tych metod wskazują spadek szybkości korozji wraz ze wzrostem stężenia BTA. Wskazuje to na inhibicyjne własności BTA w...
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Energy Management for PV Powered Hybrid Storage System in Electric Vehicles Using Artificial Neural Network and Aquila Optimizer Algorithm
PublikacjaIn an electric vehicle (EV), using more than one energy source often provides a safe ride without concerns about range. EVs are powered by photovoltaic (PV), battery, and ultracapacitor (UC) systems. The overall results of this arrangement are an increase in travel distance; a reduction in battery size; improved reaction, especially under overload; and an extension of battery life. Improved results allow the energy to be used efficiently,...
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The application of neural networks in forecasting the influence of traffic-induced vibrations on residential buildings
PublikacjaTraffic-induced vibrations may cause the cracking of plaster, damage to structural elements and, in extreme cases, may even lead to the structural collapse of residential buildings. The aim of this article is to analyse the effectiveness of a method of forecasting the impact of vibrations on residential buildings using the concept of artificial intelligence. The article presents several alternative forecasting systems for which...
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Radar and Sonar Imaging and Processing
PublikacjaThe 21 papers (from 61 submitted) published in the Special Issue “Radar and Sonar Imaging Processing” highlighted a variety of topics related to remote sensing with radar and sonar sensors. The sequence of articles included in the SI dealt with a broad profile of aspects of the use of radar and sonar images in line with the latest scientific trends. The latest developments in science, including artificial intelligence, were used.
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Sensors and System for Vehicle Navigation
PublikacjaIn recent years, vehicle navigation, in particular autonomous navigation, has been at the center of several major developments, both in civilian and defense applications. New technologies, such as multisensory data fusion, big data processing, or deep learning, are changing the quality of areas of applications, improving the sensors and systems used. Recently, the influence of artificial intelligence on sensor data processing and...
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High-efficiency hybrid PV-TEG system with intelligent control to harvest maximum energy under various non-static operating conditions
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Chemiresistive gas sensors based on carbon nanotubes - fabrication and application
PublikacjaMany types of sensors have been invented to identify and quantify chemical contamination in the gas phase. Sensors based on carbon nanotubes are particularly attractive because of their wide range of applicaions and potential use in electronic nose that can be controlled using algorithms of Artificial Intelligence. Sensor functions, fabrication and selected applications are reviewed and discussed with focus on chemiresistors. Drawbacks...