Filters
total: 817
Search results for: ARTIFICIAL INTELLIGENCE AUDIT CONTROL ECONOMIC ACTIVITY METHODOLOGY
-
Modeling and optimizing the removal of cadmium by Sinapis alba L. from contaminated soil via Response Surface Methodology and Artificial Neural Networks during assisted phytoremediation with sewage sludge
Publication -
International Conference on Artificial Intelligence: Methodology, Systems, Applications
Conferences -
Zdzisław Kowalczuk prof. dr hab. inż.
PeopleZdzislaw Kowalczuk received his M.Sc. degree in 1978 and Ph.D. degree in 1986, both in Automatic Control from Technical University of Gdańsk (TUG), Gdańsk, Poland. In 1993 he received his D.Sc. degree (Dr Habilitus) in Automatic Control from Silesian Technical University, Gliwice, Poland, and the title of Professor from the President of Poland in 2003. Since 1978 he has been with Faculty of Electronics, Telecommunications and Informatics...
-
The Potential Use of Citrus aurantifolia L. Essential Oils for Decay Control, Quality Preservation of Agricultural Products, and Anti-Insect Activity
Publication -
Karolina Zielińska-Dąbkowska dr inż. arch.
PeopleKarolina M. Zielinska-Dabkowska, Ph.D., Eng. Arch., M. Arch., is an Assistant Professor at the Faculty of Architecture of Gdańsk University of Technology (GUT). In 2002, she completed her studies of Architecture and Urban Planning at Gdańsk University of Technology (Gdańsk Tech) and in 2004, Architectural Engineering at the University of Applied Sciences and Arts (HAWK) in Hildesheim, Germany. After graduation, she worked for several...
-
Optimizing control by robustly feasible model predictive control and application to drinking water distribution systems
PublicationThe paper considers optimizing Model Predictive Control (MPC) for nonlinear plants with output constraints under uncertainties. Although the MPC technology can handle the constraints in the model by solving constraint model based optimization task, satisfying the plant output constraints under the model uncertainty still remains a challenge. The paper proposes Robustly Feasible MPC (RFMPC), which achieves feasibility of the outputs...
-
Aleksandra Parteka dr hab. inż.
PeopleAbout me: I am an associate professor and head of doctoral studies at the Faculty of Management and Economics, Gdansk University of Technology (GdanskTech, Poland). I got my MSc degree in Economics from Gdansk University of Technology (2003) and Universita’ Politecnica delle Marche (2005), as well as MA degree in Contemporary European Studies from Sussex University (2006, with distinction). I received my PhD in Economics...
-
Computational Intelligence - 2023
e-Learning CoursesWidening the students knowledge about the selected methods of artificial intelligence
-
Computational Intelligence 2022
e-Learning CoursesWidening the students knowledge about the selected methods of artificial intelligence
-
Computational Intelligence - sem. 2022/23
e-Learning CoursesWidening the students knowledge about the selected methods of artificial intelligence
-
Computational Intelligence - 2023/2024 sem.
e-Learning CoursesWidening the students knowledge about the selected methods of artificial intelligence
-
Computational Intelligence - sem. 2023/2024
e-Learning CoursesWidening the students knowledge about the selected methods of artificial intelligence
-
Błażej Prusak dr hab.
PeopleBłażej Prusak is Head of the Department of Finance at the Faculty of Management and Economics, Gdansk University of Technology and Editor-in-Chief of the journal Research on Enterprise in Modern Economy - theory and practice (REME), as well as a member of editorial boards of such journals as Intellectual Economics; Space. Economics. Society; Academy of Management. He is the author or co-author of several scientific monographs including:...
-
Idea zastosowania sztucznej inteligencji w prognozowaniu wpływu drgań komunikacyjnych na odpowiedź dynamiczną budynków mieszkalnych
PublicationW poniższym artykule autorzy analizują wpływ drgań komunikacyjnych na budynki mieszkalne oraz metodykę pomiarową według PN-85 B-02170 [1]. Problemem badawczym jest opracowanie prostej metody prognozowania wpływu drgań na budynki mieszkalne w taki sposób, aby nie było konieczne przeprowadzanie pracochłonnych i kosztownych pomiarów polowych. W tym celu wykonano analizę przy użyciu algorytmów opartych na sztucznej inteligencji oraz...
-
Arsalan Muhammad Soomar Doctoral Student
PeopleHi, I'm Arsalan Muhammad Soomar, an Electrical Engineer. I received my Master's and Bachelor's Degree in the field of Electrical Engineering from Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan. Currently enrolled as a Doctoral student at the Gdansk University of Technology, Gdansk, Poland. Also worked in Yellowlite. INC, Ohio as a Solar Design Engineer. HEADLINE Currently Enrolled as a Doctoral...
-
Roman Śmierzchalski prof. dr hab. inż.
PeopleRoman Śmierzchalski born in 1956 in Gdynia. He received the M.Sc. degree in 1979, the Ph.D. degree in 1989, both from the Gdańsk University of Technology, and the D.Sc. (‘habilitation’) degree in 1999 from the Warsaw University of Technology. From 1980 to 2009 he was an academic teacher and researcher with the Gdynia Maritime University, and since 2009 he has been with the Gdansk University of Technology, where he is currently...
-
Michał Czubenko dr inż.
PeopleMichał Czubenko is a distinguished 2009 graduate of the Faculty of Electronics, Telecommunications, and Informatics at Gdańsk University of Technology, specializing in the discipline of automatic control and robotics. Currently, he serves as an adjunct in the Department of Robotics and Decision Systems at the same institution. In 2012, he embarked on a three-month internship at Kingston University London, broadening his horizons...
-
Wiktoria Wojnicz dr hab. inż.
PeopleDSc in Mechanics (in the field of Biomechanics) - Lodz Univeristy of Technology, 2019 PhD in Mechanics (in the field of Biomechanics) - Lodz Univeristy of Technology, 2009 (with distinction) List of papers (2009 - ) Wojnicz W., Wittbrodt E., Analysis of muscles' behaviour. Part I. The computational model of muscle. Acta of Bioengineering and Biomechanics, Vol. 11, No.4, 2009, p. 15-21 Wojnicz W., Wittbrodt E., Analysis of...
-
Andrzej Stateczny prof. dr hab. inż.
PeopleProf. Dr. Andrzej Stateczny is a Professor of Gdansk Technical University Poland and President of Marine Technology Ltd. His research interests are mainly centered on navigation, hydrography and geoinformatics. Current RF research activities include radar navigation, comparative navigation, hydrography, artificial intelligence methods focused on image processing and multisensory data fusion. He has been the Principal Investigator...
-
Oleksandr Melnychenko dr hab.
PeopleOleksandr Melnychenko works as a professor in a group of research and teaching staff at the Department of Finance of the Faculty of Management and Economics, the Gdańsk University of Technology; is a sworn translator of the Ukrainian language in Poland; an entrepreneur with many years of experience in running his own business and managing the companies' finances; has experience working in a commercial bank in a position dealing...
-
Jan Cudzik dr inż. arch.
PeopleJan Cudzik (Ph.D. Eng. Arch.) is an assistant professor at the Department of Urban Architecture and Waterside Spaces at the Faculty of Architecture of the Gdańsk University of Technology and the head of the Laboratory of Digital Technologies and Materials of the Future. He is researching kinematic architecture, digital techniques in architectural design, digital fabrication, and forms of artificial intelligence in architecture...
-
Scheduling with Complete Multipartite Incompatibility Graph on Parallel Machines: Complexity and Algorithms
PublicationIn this paper, the problem of scheduling on parallel machines with a presence of incompatibilities between jobs is considered. The incompatibility relation can be modeled as a complete multipartite graph in which each edge denotes a pair of jobs that cannot be scheduled on the same machine. The paper provides several results concerning schedules, optimal or approximate with respect to the two most popular criteria of optimality:...
-
Tacjana Niksa-Rynkiewicz dr inż.
PeopleTacjana Niksa-Rynkiewicz - doctor of science in the field of computer science (2011). The doctoral dissertation concerned issues related to the development of Artificial Intelligence methods, and more precisely the generalization of triangular norms in fuzzy neural systems. Currently, he is a researcher (assistant professor) at the Gdańsk University of Technology. He develops his skills and conducts research in the use of methods...
-
Rafał Leszczyna dr hab. inż.
PeopleDr hab. Rafal Leszczyna is an associate professor at Gdansk University of Technology, Faculty of Management and Economics. He holds the M.Sc. degrees of Computer Science and Business Management. In December, 2006 he earned a Ph.D. in Computer Science, specialisation - Computer Security at the Faculty of Electronics, Telecommunications and Informatics of Gdansk University of Technology. Between 2004 and 2008 he worked in the European...
-
Patryk Ziółkowski dr inż.
PeoplePatryk Ziolkowski is a graduate of the Faculty of Civil and Environmental Engineering at the Gdansk University of Technology, specializing in Building and Engineering Structures. He works as an Assistant Professor at the Department of Engineering Structures. He participated in international projects, including projects for the Ministry of Transportation of the State of Alabama (2015), he is also the winner of a grant from the Kosciuszko...
-
Optimal detection observers based on eigenstructure assignment. W: FaultDiagnosis. Models, artificial intelligence, applications. Ed. J. Korbicz, J.M. Kościelny, Z. Kowalczuk, W. Cholewa. Berlin: Springer Verlag**2004 s. 219-259, 7 rys. bibliogr. 41 poz. Optymalne obseratory detekcyjne oparte na strukturze własnej.
PublicationPraca dotyczy analitycznych metod syntezy algorytmów detekcji uszkodzeń. De-finiując wektor resztowy jako ważony błąd uzyskanej oceny wyjścia danego o-biektu, poszukuje się takich obserwatorów stanu, dostarczających owych osza-cowań, dla których wektor resztowy jest w możlwie wysokim stopniu niezależnyod niemierzalnych zakłóceń oddziałujących na obiekt oraz od niemierzalnychszumów w torach pomiarowych. Rozważa się algorytmy...
-
Artificial Intelligence in Medicine
Conferences -
Waldemar Korłub dr inż.
PeopleWaldemar Korłub obtained an Eng. degree in 2011, MSc.Eng. degree in 2012 and PhD in Computer Science in 2017 granted by the Faculty of Electronics, Telecommunications and Informatics at Gdansk University of Technology. His research interests include: distributed systems mainly grid and cloud computing platforms, autonomous systems capable of self-optimization, self-management, self-healing and self-protection, artificial intelligence...
-
L-Homoserine O-acetyltransferase (CaMet2p) activity and inhibition
Open Research DataThe dataset contains the description of methodology and data files with the results obtained spectrophotometrically at 412 nm to determine the rate of fungal enzyme activity. The goal of the study was to obtain conditions optimal for L-homoserine O-acetyltransferase (Met2p) activity as well as evaluation of inhibitory potential of commercially available...
-
IEEE Symposium on Computational Intelligence in Control and Automation
Conferences -
European Conference on Artificial Intelligence
Conferences -
Artificial Intelligence and Applications Conference
Conferences -
Artificial Intelligence Applications and Innovations
Conferences -
Artificial Intelligence in Medicine in Europe
Conferences -
Artificial Intelligence in Knowledge Management
Conferences -
Advanced Course on Artificial Intelligence
Conferences -
Conference on Artificial Intelligence for Applications
Conferences -
International Conference on Artificial Intelligence
Conferences -
Argentine Symposium on Artificial Intelligence
Conferences -
Conference in Uncertainty in Artificial Intelligence
Conferences -
Portuguese Conference on Artificial Intelligence
Conferences -
Optymalizacja treningu i wnioskowania sieci neuronowych
PublicationSieci neuronowe są jedną z najpopularniejszych i najszybciej rozwijających się dziedzin sztucznej inteligencji. Ich praktyczne wykorzystanie umożliwiło szersze użycie komputerów w wielu obszarach komunikacji, przemysłu i transportu. Dowody tego są widoczne w elektronice użytkowej, medycynie, a nawet w zastosowaniach militarnych. Wykorzystanie sztucznej inteligencji w wielu przypadkach wymaga jednak znacznej mocy obliczeniowej,...
-
Assay of Cystathionine-γ-synthase (CaStr2p) activity determination.
Open Research DataThe study aimed to obtain conditions optimal for the activity of Candida albicans cystathionine-γ-synthase (CaStr2p) determination. The selection of appropriate reaction conditions included the identification of the reaction buffer and its pH, substrate, and enzyme concentrations. The activity of Str2p was measured by the detection of decrease of the...
-
Activity assay of O-Acetyl-L-homoserine sulfhydrylase (CaMet15p).
Open Research DataThe study aimed to obtain conditions optimal for the activity of O-acetyl-L-homoserine sulfhydrylase (CaMet15p) and a method suitable for its measurement. The selection of appropriate reaction conditions included the identification of the reaction buffer and its pH, substrate and enzyme concentrations. The activity of CaMet15p was measured by the detection...
-
Wykorzystanie sztucznych sieci neuronowych do szacowania wpływu drgań na budynki jednorodzinne
PublicationW artykule przedstawiono metodę prognozowania wpływu drgań na budynki mieszkalne z wykorzystaniem sztucznych sieci neuronowych. Drgania komunikacyjne mogą doprowadzić do uszkodzenia elementów konstrukcyjnych, a nawet do awarii budynku. Najczęstszym efektem są jednak rysy, pękanie tynku i wypraw. Metody oparte na sztucznej inteligencji są przybliżone, ale stanowią wystarczająco dokładną i ekonomiczną alternatywę dla tradycyjnych...
-
Metody sztucznej inteligencji do wspomagania bankowych systemów informatycznych
PublicationW pracy opisano zastosowania nowoczesnych metod sztucznej inteligencji do wspomagania bankowych systemów informatycznych. Wykorzystanie w systemach informatycznych algorytmów ewolucyjnych, harmonicznych, czy sztucznych sieci neuronowych w połączeniu z nowoczesną technologią mikroprocesorową umożliwiają zasadniczy wzrost konkurencyjności banku. Dlatego w pracy omówiono wybrane zastosowania bankowe ze szczególnym uwzględnieniem zbliżeniowych...
-
Comparison of Poland, Germany and the European average using the components of the summary innovation index
Open Research DataThe analysis presents a comparison of the innovation policies of Poland and Germany using all the indicators included in the Summary Innovation Index (SII), then the obtained results were analyzed and conclusions were formulated.The indicators are divided into three main categories, each group of indicators shows a different aspect of the innovativeness...
-
Analytical methodologies for determination of artificial sweeteners in foodstuffs- a review
PublicationArtificial high-intensity sweeteners are more and more frequently used for food production. Food industry tends to highlight beneficial aspects of their use, such as tooth-friendliness, rising-up quality of life of those suffering from different forms of diabetes and possibility of weight control without sacrificing favorite unhealthy drinks or snacks. On the other hand some of the consumers are deeply concerned about safety of...
-
International Conference on Computational Intelligence for Modelling, Control and Automation
Conferences -
Ukrainian Market of Electrical Energy: Reforming, Financing, Innovative Investment, Efficiency Analysis, and Audit
PublicationThe aim of this research is to determine the influence of electrical energy market regulation reform in Ukraine on the competitive environment, the reproduction processes of financial and innovative support, and the energy efficiency of the national economy. The authors have put forward and verified the hypothesis that, under conditions of institutional maturity of the Ukrainian electrical energy market, its liberalization and...